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2024-11-06 13:40:50   0  举报

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图1:折线图

import matplotlib.pyplot as plt plt.rcParams["font.sans-serif"]=["SimHei"] #设置字体 plt.rcParams["axes.unicode_minus"]=False #该语句解决图像中的“-”负号的乱码问题 xpoints = np.array([0, 10]) ypoints = np.array([0, 60]) plt.xlabel("天数")  plt.ylabel("收入")  plt.plot(x) plt.plot(y) plt.show()

图2：柱状图

x=[1,2,3,4,5,6,7,8,9,10] data=[5,10,23,45,23,42,43,32,43,54] plt.title("") plt.grid(ls="--", alpha=1) plt.bar(x, data ,facecolor="r")

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对比柱状图

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

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图3:饼图

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

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