视觉/图像重磅干货，第一时间送达!
使用 Pyplot 模块，将图表视为一个整体； 通过面向对象的界面，当每个形状或其一部分都是单独的对象时，这允许您有选择地更改它们的属性和显示。
pip3 install matplotlibimport matplotlib.pyplot as pltx = [1, 2, 3, 4, 5]y = [24, 29, 33, 19, 24]
plt.plot(x, y)plt.show()
plt.plot(x, y)plt.xlabel('x-axis') #name of the x-axisplt.ylabel('y-axis') #name of the y-axisplt.title('First graph') #name of the graphplt.show()
plt.plot(x, y, color='purple', marker='o', markersize=8)https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.htmlx = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]y = [19, 24, 33, 22, 27, 21, 20, 30, 17, 26]plt.scatter(x, y, color='purple')plt.show()
x = ['January', 'February', 'March', 'April', 'May']y = [2, 4, 3, 1, 7]plt.bar(x, y, color='purple', label='Profit amount') #label parameter allows you to set the name of the value for the legendplt.xlabel('Month')plt.ylabel('$ Profit (in million)')plt.title('Barchart Example')plt.legend()plt.show()
x = ['January', 'February', 'March', 'April', 'May']y = [2, 4, 3, 1, 7]plt.bar(x, y, color='purple', label='Profit amount') #label parameter allows you to set the name of the value for the legendplt.plot(x, y, color='blue', marker='o', markersize=8)plt.xlabel('Month')plt.ylabel('$ Profit (in million)')plt.title('Combining Graphs')plt.legend()plt.show()
一切都顺利。但现在折线图很难看清——它只是在柱状图的紫色背景中消失了。让我们使用参数增加条形图的透明度alpha：
plt.bar(x, y, label='Profit amount', alpha=0.5)values = [23, 16, 55, 19, 37]labels = ["Honda", "Mazda", "BMW", "Mercedes", "Acura"]colors = ( "#9E70F1", "#F52B94", "#FFE174", "#65E9EB", '#F3907F') #identify colorsplt.pie(values, labels=labels, colors=colors)plt.title("Distribution of Car Brands on the Road")plt.show()
values = [23, 16, 55, 19, 37]labels = ["Honda", "Mazda", "BMW", "Mercedes", "Acura"]colors = ( "#9E70F1", "#F52B94", "#FFE174", "#65E9EB", '#F3907F') #identify colorsplt.pie(values, labels=labels, colors=colors, autopct='%1.1f%%')plt.title("Distribution of Car Brands on the Road")plt.show()
labels = ['2019', '2020', '2021', '2022', '2023']users_ios = [52, 52.5, 53.2, 53, 57]users_android = [48, 47.5, 46.8, 47, 43]width = 0.35 #set column widthfig, ax = plt.subplots()ax.bar(labels, users_ios, width, color='#F52B94', label='iOS')ax.bar(labels, users_android, width,bottom=users_ios, color='#15C0C3', label='Android') #indicate with the bottom parameter that the values in the column should be higher than the values of the ios_users variableax.set_ylabel('Ratio %')ax.set_title('Distribution of iOS and Android Devices in US')ax.legend(loc='lower left', title='Devices') #shift the legend to the lower left corner so that it does not overlap part of the chartplt.show()
https://matplotlib.org/3.6.2/users/index.html—THE END—
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觉得有用，麻烦给个赞和在看
