python

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子主题

import matplotlib.pyplot as plt<br>import numpy as np<br><br><br>labels = ['G1', 'G2', 'G3', 'G4', 'G5']<br>men_means = [20, 34, 30, 35, 27]<br>women_means = [25, 32, 34, 20, 25]<br><br>x = np.arange(len(labels))&nbsp; # the label locations<br>width = 0.35&nbsp; # the width of the bars<br><br>fig, ax = plt.subplots()<br>rects1 = ax.bar(x - width/2, men_means, width, label='Men')<br>rects2 = ax.bar(x + width/2, women_means, width, label='Women')<br><br># Add some text for labels, title and custom x-axis tick labels, etc.<br>ax.set_ylabel('Scores')<br>ax.set_title('Scores by group and gender')<br>ax.set_xticks(x, labels)<br>ax.legend()<br><br>ax.bar_label(rects1, padding=3)<br>ax.bar_label(rects2, padding=3)<br><br>fig.tight_layout()<br><br>plt.show()

import matplotlib.pyplot as plt<br>import numpy as np<br><br>y = np.array([35, 25, 25, 15])<br><br>plt.pie(y)<br>labels=['A','B','C','D'], # 设置饼图标<br>colors=["red", "blue", "yellow", "purple"], # 设置饼图颜色<br>plt.title("各组占比") # 设置标题<br>plt.show()