Hướng dẫn can you plot arrays in python? - bạn có thể vẽ các mảng trong python không?

Question

Tôi theo liên kết này cách nối nhiều tệp numpy vào một tệp numpy trong Python để đặt tất cả các tệp numpy của tôi trong một tệp. Bây giờ, tôi cần vẽ tệp của mình có chứa nhiều mảng, mỗi mảng chứa một số số float: đây là mã cuối cùng của tôi để nối các mảng trong một mảng lớn:

Nội dung chính Show

Làm thế nào để bạn vẽ một mảng của một dòng trong Python?
Làm thế nào để bạn vẽ 3 mảng trong Python?

import matplotlib.pyplot as plt 
import numpy as np
import glob
import os, sys
fpath ="/home/user/Desktop/OutFileTraces.npy"
npyfilespath="/home/user/Desktop/test"   
os.chdir(npyfilespath)
npfiles= glob.glob("*.npy")
npfiles.sort()
all_arrays = []
with open(fpath,'ab') as f_handle:
    for npfile in npfiles:
        #Find the path of the file and Load file
        all_arrays.append(np.load(os.path.join(npyfilespath, npfile)))        
    np.save(f_handle, all_arrays)
    data = np.load(fpath)
    print data

Mã này cho tôi kết quả như thế này:

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

Tôi cần vẽ sơ đồ cốt truyện tệp cuối cùng OutfileTraces.npy chứa mảng lớn. Vì vậy, tôi sử dụng mã này:

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

Nó cho tôi lỗi này:

Tăng giá trị HERROR ("X và Y có thể không lớn hơn 2-D") ValueError: X và Y có thể không lớn hơn 2-D

Tất cả các giá trị đó đại diện cho y_axe, tuy nhiên x-trục của tôi đại diện cho các điểm từ 1 đến 8000. Vì vậy, theo tôi hiểu, để vẽ sơ đồ mảng lớn cuối cùng của tôi, nó phải trông như thế này (sự khác biệt là trên []):

[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425


     -0.00762086]


     [-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
        -0.0082296 ]


     [ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
        -0.01059523]


     ..., 
     [0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
        -0.00809347]


     [-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
        -0.00784175]


     [-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
        -0.03575151]]

Tôi có thể dễ dàng vẽ tệp này.

Vì vậy, tôi thực sự không thể hiểu được vấn đề.

Tôi sẽ rất biết ơn nếu bạn có thể giúp tôi.

Xem thảo luận

Cải thiện bài viết

Lưu bài viết

Đọc

Bàn luận

Xem thảo luận

Cải thiện bài viết

Lưu bài viết

Đọcpyplot(), which is used to plot two-dimensional data.

Bàn luận

Để vẽ đồ thị trong Python, chúng tôi sẽ sử dụng thư viện matplotlib. Matplotlib được sử dụng cùng với dữ liệu numpy để vẽ bất kỳ loại đồ thị nào. Từ matplotlib, chúng tôi sử dụng hàm cụ thể, tức là pyplot (), được sử dụng để vẽ dữ liệu hai chiều.This function returns equally spaced values from the interval [start, end).
Các chức năng khác nhau được sử dụng được giải thích dưới đây:It is used to give a title to the graph. Title is passed as the parameter to this function.
np.arange (bắt đầu, kết thúc): hàm này trả về các giá trị cách đều nhau từ khoảng [bắt đầu, kết thúc).It sets the label name at X-axis. Name of X-axis is passed as argument to this function.
plt.title (): Nó được sử dụng để đưa ra một tiêu đề cho biểu đồ. Tiêu đề được truyền làm tham số cho hàm này.It sets the label name at Y-axis. Name of Y-axis is passed as argument to this function.
plt.xlabel (): Nó đặt tên nhãn tại trục x. Tên của trục x được truyền làm đối số cho hàm này.It plots the values of parameters passed to it together.
plt.ylabel (): Nó đặt tên nhãn tại trục y. Tên của trục y được truyền như là đối số cho hàm này.It shows all the graph to the console.

plt.plot (): Nó biểu thị các giá trị của các tham số được truyền cho nó cùng nhau.

Python3

plt.show (): Nó hiển thị tất cả các biểu đồ cho bảng điều khiển.

Ví dụ 1 :

import numpy as np

import matplotlib.pyplot as plt

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

1

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

2

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

4

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

5

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

7

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

8

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425


     -0.00762086]


     [-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
        -0.0082296 ]


     [ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
        -0.01059523]


     ..., 
     [0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
        -0.00809347]


     [-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
        -0.00784175]


     [-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
        -0.03575151]]

0

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

0

[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425


     -0.00762086]


     [-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
        -0.0082296 ]


     [ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
        -0.01059523]


     ..., 
     [0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
        -0.00809347]


     [-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
        -0.00784175]


     [-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
        -0.03575151]]

2

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425


     -0.00762086]


     [-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
        -0.0082296 ]


     [ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
        -0.01059523]


     ..., 
     [0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
        -0.00809347]


     [-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
        -0.00784175]


     [-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
        -0.03575151]]

4

& nbsp; đầu ra: & nbsp;
Output :

x ____10

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

1
[[[[-0.00824758 -0.0081808 -0.00811402 ..., -0.0077236 -0.00765425 -0.00762086]]] [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446 -0.0082296 ]]] [[[ 0.01028957 0.01005326 0.0098298 ..., -0.01043341 -0.01050019 -0.01059523]]] ..., [[[ 0.00614908 0.00581004 0.00549154 ..., -0.00814741 -0.00813457 -0.00809347]]] [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789 -0.00784175]]] [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842 -0.03575151]]]]
2
[[[[-0.00824758 -0.0081808 -0.00811402 ..., -0.0077236 -0.00765425 -0.00762086]]] [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446 -0.0082296 ]]] [[[ 0.01028957 0.01005326 0.0098298 ..., -0.01043341 -0.01050019 -0.01059523]]] ..., [[[ 0.00614908 0.00581004 0.00549154 ..., -0.00814741 -0.00813457 -0.00809347]]] [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789 -0.00784175]]] [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842 -0.03575151]]]]
3
[[[[-0.00824758 -0.0081808 -0.00811402 ..., -0.0077236 -0.00765425 -0.00762086]]] [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446 -0.0082296 ]]] [[[ 0.01028957 0.01005326 0.0098298 ..., -0.01043341 -0.01050019 -0.01059523]]] ..., [[[ 0.00614908 0.00581004 0.00549154 ..., -0.00814741 -0.00813457 -0.00809347]]] [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789 -0.00784175]]] [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842 -0.03575151]]]]
4
[[[[-0.00824758 -0.0081808 -0.00811402 ..., -0.0077236 -0.00765425 -0.00762086]]] [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446 -0.0082296 ]]] [[[ 0.01028957 0.01005326 0.0098298 ..., -0.01043341 -0.01050019 -0.01059523]]] ..., [[[ 0.00614908 0.00581004 0.00549154 ..., -0.00814741 -0.00813457 -0.00809347]]] [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789 -0.00784175]]] [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842 -0.03575151]]]]
5

Python3

plt.show (): Nó hiển thị tất cả các biểu đồ cho bảng điều khiển.

Ví dụ 1 :

x ____10

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

1

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

2

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

3

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

4

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

Các

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

1

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

2

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

4

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

5

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

7

import matplotlib.pyplot as plt 
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()

8

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425


     -0.00762086]


     [-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
        -0.0082296 ]


     [ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
        -0.01059523]


     ..., 
     [0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
        -0.00809347]


     [-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
        -0.00784175]


     [-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
        -0.03575151]]

0

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

0matplotlib.pyplot as plt0

[[[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425
    -0.00762086]]]


 [[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
    -0.0082296 ]]]


 [[[ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
    -0.01059523]]]


 ..., 
 [[[ 0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
    -0.00809347]]]


 [[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
    -0.00784175]]]


 [[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
    -0.03575151]]]]

5

[[-0.00824758 -0.0081808  -0.00811402 ..., -0.0077236  -0.00765425


     -0.00762086]


     [-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
        -0.0082296 ]


     [ 0.01028957  0.01005326  0.0098298  ..., -0.01043341 -0.01050019
        -0.01059523]


     ..., 
     [0.00614908  0.00581004  0.00549154 ..., -0.00814741 -0.00813457
        -0.00809347]


     [-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
        -0.00784175]


     [-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
        -0.03575151]]

4

& nbsp; đầu ra: & nbsp;
Output :

Làm thế nào để bạn vẽ một mảng của một dòng trong Python?

Để tạo biểu đồ dòng, hãy truyền một mảng hoặc danh sách các số làm đối số cho hàm plt.plot () của matplotlib.Lệnh plt.Show () là cần thiết ở cuối để hiển thị cốt truyện.pass an array or list of numbers as an argument to Matplotlib's plt. plot() function. The command plt. show() is needed at the end to show the plot.

Làm thế nào để bạn vẽ 3 mảng trong Python?

Làm thế nào để bạn vẽ 3 mảng trong Python ?..

Gọi plt.Lô đất () bao nhiêu lần cần thiết để thêm các dòng bổ sung để vẽ ..

Nhập matplotlib.pylot như plt ..

x_coordinates = [1, 2, 3].

y1_coordinates = [1, 2, 3].

y2_coordinates = [3, 4, 5].

plt.Lô đất (x_coordinates, y1_coordinates) # Lô đường đầu tiên ..

programming python Plot list Python Matplotlib pyplot Py plot Matplotlib Python Plot numpy array Plot array Python Plt show image Plot function matplotlib

Hướng dẫn can you plot arrays in python? - bạn có thể vẽ các mảng trong python không?

Python3

Python3

Làm thế nào để bạn vẽ một mảng của một dòng trong Python?

Làm thế nào để bạn vẽ 3 mảng trong Python?

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