Hướng dẫn how do you label a single point in a matplotlib graph in python? - làm cách nào để bạn gắn nhãn một điểm duy nhất trong biểu đồ matplotlib trong python?

Phiên bản Matplotlib đã sử dụng 3.x. Xem tất cả mã trên sổ ghi chép này3.x. View all code on this notebook

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import matplotlib.pyplot as plt
import numpy as np

plt.clf()

# using some dummy data for this example
xs = np.arange(0,10,1)
ys = np.random.normal(loc=2.0, scale=0.8, size=10)

plt.plot(xs,ys)

# text is left-aligned
plt.text(2,4,'This text starts at point (2,4)')

# text is right-aligned
plt.text(8,3,'This text ends at point (8,3)',horizontalalignment='right')

plt.show()

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Thêm nhãn vào các điểm trong các sơ đồ phân tán

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Thêm nhãn vào các điểm trong các sơ đồ phân tán

import matplotlib.pyplot as plt
import numpy as np

plt.clf()

# using some dummy data for this example
xs = np.arange(0,10,1)
ys = np.random.normal(loc=3, scale=0.4, size=10)

plt.bar(xs,ys)

# zip joins x and y coordinates in pairs
for x,y in zip(xs,ys):

    label = "{:.2f}".format(y)

    plt.annotate(label, # this is the text
                 (x,y), # these are the coordinates to position the label
                 textcoords="offset points", # how to position the text
                 xytext=(0,10), # distance from text to points (x,y)
                 ha='center') # horizontal alignment can be left, right or center

plt.show()

Thêm nhãn vào các điểm trong các sơ đồ phân tán

Thêm văn bản vào trục

import matplotlib.pyplot as plt
import numpy as np

# using some dummy data for this example
xs = np.random.randint( 0, 10, size=10)
ys = np.random.randint(-5, 5,  size=10)

# plot the points
plt.scatter(xs,ys)

# zip joins x and y coordinates in pairs
for x,y in zip(xs,ys):

    label = f"({x},{y})"

    plt.annotate(label, # this is the text
                 (x,y), # these are the coordinates to position the label
                 textcoords="offset points", # how to position the text
                 xytext=(0,10), # distance from text to points (x,y)
                 ha='center') # horizontal alignment can be left, right or center

Thêm văn bản vào trục

Phiên bản Matplotlib đã sử dụng 3.x. Xem tất cả mã trên sổ ghi chép này

Xem tất cả các tùy chọn bạn có thể chuyển đến plt.text tại đây: Từ khóa hợp lệ args cho plt.txtindividual Axes object just call

import matplotlib.pyplot as plt
import numpy as np

plt.clf()

# using some dummy data for this example
xs = np.arange(0,10,1)
ys = np.random.normal(loc=3, scale=0.4, size=10)

# 'bo-' means blue color, round points, solid lines
plt.plot(xs,ys,'bo-')

# zip joins x and y coordinates in pairs
for x,y in zip(xs,ys):

    label = "{:.2f}".format(y)

    plt.annotate(label, # this is the text
                 (x,y), # these are the coordinates to position the label
                 textcoords="offset points", # how to position the text
                 xytext=(0,10), # distance from text to points (x,y)
                 ha='center') # horizontal alignment can be left, right or center

plt.show()

import matplotlib.pyplot as plt
import numpy as np

# generate sample data to plot
x = np.linspace(0.0,100,50)
y = np.random.uniform(low=0,high=10,size=50)

# get references to the 2 axes with plt.subplots()
fig, (ax1, ax2) = plt.subplots(1,2)

ax1.bar(x,y)

# add text to the axes on the left only
ax1.annotate('Some text in axes ax1', 
             (40, 8), # these are the coordinates to position the label
             color='red') # you can pass any extra params too

ax2.bar(x,y)
# add text to the other axes (on the right)
ax2.annotate('More text in axes ax2', 
             (40, 8), # these are the coordinates to position the label
             color='black',
             size=16)

import matplotlib.pyplot as plt
import numpy as np

plt.clf()

# using some dummy data for this example
xs = np.arange(0,10,1)
ys = np.random.normal(loc=3, scale=0.4, size=10)

# 'bo-' means blue color, round points, solid lines
plt.plot(xs,ys,'bo-')

# zip joins x and y coordinates in pairs
for x,y in zip(xs,ys):

    label = "{:.2f}".format(y)

    plt.annotate(label, # this is the text
                 (x,y), # these are the coordinates to position the label
                 textcoords="offset points", # how to position the text
                 xytext=(0,10), # distance from text to points (x,y)
                 ha='center') # horizontal alignment can be left, right or center

plt.show()

Văn bản có thể được liên kết bên trái hoặc phải

Một lần nữa, zip cùng nhau dữ liệu (x và y) và lặp qua nó, hãy gọi plt.annotate(, (,))

import matplotlib.pyplot as plt
import numpy as np

# generate sample data for this example
xs = [1,2,3,4,5,6,7,8,9,10,11,12]
ys = np.random.normal(loc=3.0,size=12)
labels = ['jan','feb','mar','apr','may','jun','jul','aug','sept','oct','nov','dec']

# plot
plt.bar(xs,ys)

# apply custom tick labels
plt.xticks(xs,labels)

# this is the x-axis label you want to write the text for
string_label = "feb"

# figure out which x-axis tick corresponds to that
label_index = labels.index(string_label)
xs_index    = xs[label_index]

# use xs_index to position the text
plt.annotate("foo-bar",
             (xs_index,4)) # these are the coordinates to position the label

import matplotlib.pyplot as plt
import numpy as np

plt.clf()

# using some dummy data for this example
xs = np.arange(0,10,1)
ys = np.random.normal(loc=3, scale=0.4, size=10)

# 'bo-' means blue color, round points, solid lines
plt.plot(xs,ys,'bo-')

# zip joins x and y coordinates in pairs
for x,y in zip(xs,ys):

    label = "{:.2f}".format(y)

    plt.annotate(label, # this is the text
                 (x,y), # these are the coordinates to position the label
                 textcoords="offset points", # how to position the text
                 xytext=(0,10), # distance from text to points (x,y)
                 ha='center') # horizontal alignment can be left, right or center

plt.show()

import matplotlib.pyplot as plt
import numpy as np

plt.clf()

# using some dummy data for this example
xs = np.arange(0,10,1)
ys = np.random.normal(loc=3, scale=0.4, size=10)

# 'bo-' means blue color, round points, solid lines
plt.plot(xs,ys,'bo-')

# zip joins x and y coordinates in pairs
for x,y in zip(xs,ys):

    label = "{:.2f}".format(y)

    plt.annotate(label, # this is the text
                 (x,y), # these are the coordinates to position the label
                 textcoords="offset points", # how to position the text
                 xytext=(0,10), # distance from text to points (x,y)
                 ha='center') # horizontal alignment can be left, right or center

plt.show()