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Hướng dẫn how do i make multiple excel sheets in pandas? - làm cách nào để tạo nhiều trang tính excel bằng gấu trúc?

Ngày đăng: 28/10/2022
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Chỉ mới bắt đầu sử dụng gấu trúc và python.

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Tôi có một bảng tính mà tôi đã đọc vào một phương thức DataFrame và phương thức điền chuyển tiếp được áp dụng (ffill).

Sau đó tôi muốn tạo một tài liệu Excel duy nhất với hai bảng tính trong đó.

Một bảng tính sẽ có dữ liệu trong DataFrame trước khi phương thức ffill được áp dụng và tiếp theo sẽ có khung dữ liệu có phương thức ffill được áp dụng.

Cuối cùng, tôi dự định sẽ tạo một bảng tính cho mọi thể hiện dữ liệu duy nhất trong một cột nhất định của DataFrame.

Sau đó, tôi muốn áp dụng một số định dạng VBA cho kết quả - nhưng tôi không chắc DLL hoặc Addon nào hoặc một cái gì đó tôi sẽ cần gọi Excel VBA bằng Python để định dạng các tiêu đề là in đậm và thêm màu, v.v.

Tôi đã có một phần thành công trong việc XLSXWRITER sẽ tạo một sổ làm việc mới và thêm các tờ, nhưng các hoạt động dataFrame.to_excel dường như không hoạt động trên sổ làm việc mà nó tạo ra, sổ làm việc mở nhưng các tờ là trống.

Cảm ơn trước.

import os
import time
import pandas as pd
import xlwt
from xlwt.Workbook import *
from pandas import ExcelWriter
import xlsxwriter

#set folder to import files from
path = r'path to some file'
#folder = os.listdir(path)

#for loop goes here

#get date
date = time.strftime('%Y-%m-%d',time.gmtime(os.path.getmtime(path)))

#import excel document
original = pd.DataFrame()
data = pd.DataFrame()

original = pd.read_excel(path,sheetname='Leave',skiprows=26)
data = pd.read_excel(path,sheetname='Leave',skiprows=26)

print (data.shape)
data.fillna(method='ffill',inplace=True)

#the code for creating the workbook and worksheets
wb= Workbook()
ws1 = wb.add_sheet('original')
ws2 = wb.add_sheet('result')
original.to_excel(writer,'original')
data.to_excel(writer,'result')
writer.save('final.xls')

Một ví dụ về việc viết nhiều khung dữ liệu vào bảng tính bằng gấu trúc và xlsxwriter.

##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()

Xem thảo luận

Cải thiện bài viết

Lưu bài viết

  • Đọc
  • Bàn luận

    • Xem thảo luận

    Cải thiện bài viết

    Lưu bài viết

    Đọc

    Bàn luận provide a function called xlsxwriter for this purpose. ExcelWriter() is a class that allows you to write DataFrame objects into Microsoft Excel sheets. Text, numbers, strings, and formulas can all be written using ExcelWriter(). It can also be used on several worksheets.

    Syntax:

    Trong bài viết này, chúng ta sẽ thấy cách xuất các khung dữ liệu khác nhau sang các bảng excel khác nhau bằng Python.

    Parameter:

    • Pandas cung cấp một chức năng gọi là xlsxwriter cho mục đích này. ExcelWriter () là một lớp cho phép bạn viết các đối tượng DataFrame vào các tờ Microsoft Excel. Văn bản, số, chuỗi và công thức đều có thể được viết bằng ExcelWriter (). Nó cũng có thể được sử dụng trên một số bảng tính.(str) Path to xls or xlsx or ods file.
    • pandas.excelwriter (path, date_format = none, mode = xông W,)Format string for dates written into Excel files (e.g. ‘YYYY-MM-DD’).  str, default None
    • Đường dẫn: (Str) Đường dẫn đến tệp XLS hoặc XLSX hoặc ODS.{‘w’, ‘a’}, default ‘w’. File mode to use (write or append). Append does not work with fsspec URLs.

    DATE_FORMAT: Chuỗi định dạng cho ngày được ghi vào các tệp Excel (ví dụ: ‘Yyyy-MM-DD,). & nbsp; str, mặc định không có

    Syntax:

    Chế độ: {’w,’ a}, mặc định ‘w. Chế độ tập tin để sử dụng (viết hoặc nối). Phụ lục không hoạt động với URL FSSPEC.

    Parameter:

    • Phương thức to_excel () được sử dụng để xuất DataFrame vào tệp Excel. Để viết một đối tượng duy nhất vào tệp Excel, chúng ta phải chỉ định tên tệp đích. Nếu chúng ta muốn viết vào nhiều tờ, chúng ta cần tạo một đối tượng Excelwriter với tên tệp đích và cũng cần chỉ định trang tính trong tệp mà chúng ta phải viết. Nhiều tờ cũng có thể được viết bằng cách chỉ định trang tính duy nhất. Cần lưu các thay đổi cho tất cả các dữ liệu được ghi vào tệp.path-like, file-like, or ExcelWriter object (new or existing)
    • DataFrame.TO_Excel (excel_writer, sheet_name = xông sheet1, index = true)(str, default ‘Sheet1’). Name of the sheet which will contain DataFrame.
    • Excel_Writer: Đối tượng giống như đường dẫn, giống như tệp hoặc Excelwriter (mới hoặc hiện có)(bool, default True). Write row names (index).

    Sheet_Name: (Str, mặc định ‘Sheet1,). Tên của tờ sẽ chứa DataFrame. sample data frames using pandas.DataFrame function. Now, create a writer variable and specify the path in which you wish to store the excel file and the file name, inside the pandas excelwriter function.

    Chỉ mục: (bool, mặc định đúng). Viết tên hàng (chỉ mục). Write Pandas dataframe to multiple excel sheets

    Python3

    Tạo một số khung dữ liệu mẫu bằng hàm pandas.dataframe. Bây giờ, hãy tạo một biến của nhà văn và chỉ định đường dẫn mà bạn muốn lưu trữ tệp Excel và tên tệp, bên trong chức năng Pandas Excelwriter.

    Ví dụ: Viết gấu trúc DataFrame vào nhiều tờ Excel

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    5
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    6
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    8
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import0import1

    import2import3: [import5

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import7
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import9
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd1
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd3
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd5pandas as pd6

    import pandas as pd

    data_frame1 8data_frame1 9

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0=1
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0=3import1

    import2import3: [=8

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({0
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({2
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({4
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({6
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({8pandas as pd6

    Các

    : [1: [2

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0: [4
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0: [6import1

    pandas as pd7= pd.DataFrame({data_frame1 0: [____422

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    03
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    04

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    03
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    06

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    03
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    08

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    09
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    10
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    11

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    12
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    13=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    15
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    16=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    18
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    19

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    12
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    21=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    23
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    16=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    18
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    19

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    12
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    29=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    31
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    16=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    18
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    19

    Output:

    Hướng dẫn how do i make multiple excel sheets in pandas? - làm cách nào để tạo nhiều trang tính excel bằng gấu trúc?

    'Fruits'0= pd.DataFrame({'Fruits'3: ['Fruits'5____1010 77specified location.

    Hướng dẫn how do i make multiple excel sheets in pandas? - làm cách nào để tạo nhiều trang tính excel bằng gấu trúc?

    Các Another method to store the dataframe in an existing excel file using excelwriter is shown below,

    Đầu ra hiển thị tệp Excel với các bảng khác nhau đã được lưu ở vị trí được chỉ định.mode= ‘a’ (meaning append) in the excelwriter function. Using mode ‘a’ will add the new sheet as the last sheet in the existing excel file.

    Python3

    Tạo một số khung dữ liệu mẫu bằng hàm pandas.dataframe. Bây giờ, hãy tạo một biến của nhà văn và chỉ định đường dẫn mà bạn muốn lưu trữ tệp Excel và tên tệp, bên trong chức năng Pandas Excelwriter.

    Ví dụ: Viết gấu trúc DataFrame vào nhiều tờ Excel

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    5
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    6
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    8
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import0import1

    import2import3: [import5

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import7
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import9
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd1
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd3
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd5pandas as pd6

    import pandas as pd

    data_frame1 8data_frame1 9

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0=1
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0=3import1

    import2import3: [=8

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({0
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({2
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({4
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({6
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({8pandas as pd6

    'Fruits'0= pd.DataFrame({'Fruits'3: ['Fruits'5____1010 77

    : [1: [2

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0: [4
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0: [6import1

    Các

    import37= pd.DataFrame({import40: [__24242

    : [1import49

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import51
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import53import1

    import2import56: [import58

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import60
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import62
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import64
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import66
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import68pandas as pd6

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    09import71import72=import74import75=import77
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    11

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    12import80=import82
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    19

    Output:

    Hướng dẫn how do i make multiple excel sheets in pandas? - làm cách nào để tạo nhiều trang tính excel bằng gấu trúc?

    Viết tệp dữ liệu gấu trúc lớn vào tệp Excel ở định dạng có khóa.

    Nếu DataFrame đầu ra lớn, bạn cũng có thể lưu trữ tệp Excel dưới dạng tệp bị nén. Hãy để lưu lại dữ liệu mà chúng tôi đã tạo cho ví dụ này. như Excel và lưu trữ nó dưới dạng tệp zip. Định dạng tệp ZIP là một tiêu chuẩn lưu trữ và nén phổ biến.large, you can also store the excel file as a zipped file. Let’s save the dataframe which we created for this example. as excel and store it as a zip file. The ZIP file format is a common archive and compression standard.

    Syntax:

    Zipfile (Tệp, Mode = xông R,)

    Parameter:

    • Tệp: Tệp có thể là một đường dẫn đến một tệp (một chuỗi), một đối tượng giống như tệp hoặc đối tượng giống như đường dẫn.the file can be a path to a file (a string), a file-like object, or a path-like object.
    • Chế độ: Tham số Chế độ phải là ‘R, để đọc một tệp hiện có,‘ W, để cắt và viết một tệp mới, ‘A, để nối thêm một tệp hiện có hoặc‘ X, để tạo và viết một tệp mới.The mode parameter should be ‘r’ to read an existing file, ‘w’ to truncate and write a new file, ‘a’ to append to an existing file, or ‘x’ to exclusively create and write a new file.

    Nhập gói zipfile và tạo các khung dữ liệu mẫu. Bây giờ, chỉ định đường dẫn trong đó tệp zip phải được lưu trữ, điều này tạo ra một tệp zip trong đường dẫn được chỉ định. Tạo một tên tệp trong đó tệp Excel phải được lưu trữ. Sử dụng hàm To_Excel () và chỉ định tên và chỉ mục trang tính để lưu trữ dữ liệu trong nhiều tờzipfile package and create sample dataframes. Now, specify the path in which the zip file has to be stored, This creates a zip file in the specified path. Create a file name in which the excel file has to be stored. Use to_excel() function and specify the sheet name and index to store the dataframe in multiple sheets

    Ví dụ: Viết các khung dữ liệu lớn ở định dạng zipWrite large dataframes in ZIP format

    Python3

    import import85

    import pandas as pd

    Các

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    5
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    6
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    8
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import0import1

    import2import3: [import5

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import7
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import9
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd1
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd3
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pandas as pd5pandas as pd6

    pandas as pd7= pd.DataFrame({data_frame1 0: [____422

    data_frame1 8data_frame1 9

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0=1
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0=3import1

    Các

    'Fruits'0= pd.DataFrame({'Fruits'3: ['Fruits'5____1010 77

    : [1: [2

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0: [4
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0: [6import1

    import2import3: ['Appple'1

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0'Appple'3
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0'Appple'5
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0pd.DataFrame({0
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0'Appple'9
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    01pandas as pd6

    import37= pd.DataFrame({import40: [__24242

    : [1import49

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import51
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0import53import1

    Viết tệp dữ liệu gấu trúc lớn vào tệp Excel ở định dạng có khóa.

    data_frame1 20data_frame1 21

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0data_frame1 23data_frame1 24

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    12data_frame1 26data_frame1 27data_frame1 28data_frame1 29
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    0data_frame1 23data_frame1 32data_frame1 33data_frame1 34

    data_frame1 35

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    09data_frame1 33
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    11

    data_frame1 39

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    13=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    15
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    16=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    18
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    19

    data_frame1 39

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    21=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    23
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    16=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    18
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    19

    data_frame1 39

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    29=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    31
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    16=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    18
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    19

    data_frame1 39import80=data_frame1 66

    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    16=
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    18
    ##############################################################################
#
# An example of writing multiple dataframes to worksheets using Pandas and
# XlsxWriter.
#
# SPDX-License-Identifier: BSD-2-Clause
# Copyright 2013-2022, John McNamara, 
#

import pandas as pd


# Create some Pandas dataframes from some data.
df1 = pd.DataFrame({'Data': [11, 12, 13, 14]})
df2 = pd.DataFrame({'Data': [21, 22, 23, 24]})
df3 = pd.DataFrame({'Data': [31, 32, 33, 34]})

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
df3.to_excel(writer, sheet_name='Sheet3')

# Close the Pandas Excel writer and output the Excel file.
writer.save()
    19

     Output:Output:

    Hướng dẫn how do i make multiple excel sheets in pandas? - làm cách nào để tạo nhiều trang tính excel bằng gấu trúc?

    Nếu DataFrame đầu ra lớn, bạn cũng có thể lưu trữ tệp Excel dưới dạng tệp bị nén. Hãy để lưu lại dữ liệu mà chúng tôi đã tạo cho ví dụ này. như Excel và lưu trữ nó dưới dạng tệp zip. Định dạng tệp ZIP là một tiêu chuẩn lưu trữ và nén phổ biến.

    Hướng dẫn how do i make multiple excel sheets in pandas? - làm cách nào để tạo nhiều trang tính excel bằng gấu trúc?


    Làm thế nào để bạn tạo ra nhiều tờ trong Excel?

    Chọn bảng tính đầu tiên bạn muốn đưa vào nhóm bảng tính.Nhấn và giữ phím Ctrl trên bàn phím của bạn.Chọn bảng tính tiếp theo bạn muốn trong nhóm.Tiếp tục chọn bảng tính cho đến khi tất cả các bảng tính bạn muốn nhóm được chọn, sau đó phát hành khóa CTRL.

    Làm cách nào để xuất bản dữ liệu gấu trúc từ excel sang nhiều tờ?

    Tạo một dữ liệu dạng bảng hai chiều, có kích thước, có khả năng không đồng nhất, DF1 ..
    In DataFrame đầu vào, DF1 ..
    Tạo một DataFrame khác, DF2 và in nó ..
    Sử dụng phương thức excelwriter () để viết các ô được định dạng đã cho vào một bảng excel ..

    Làm cách nào để tạo nhiều tờ trong danh sách?

    Bắt đầu Excel.Một sổ làm việc mới, trống xuất hiện.Nhấp vào nút tờ mới ở dưới cùng của màn hình.Nhấn và giữ phím Ctrl, sau đó nhấp vào Sheet1, Sheet2, và cứ thế cho đến khi bạn hoàn tất việc chọn tất cả các bảng tính của mình.

    programming excel Openpyxl multiple sheets Python Excel

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