如何在matplotlib中添加图例 参考:how to add a legend in matplotlib Matplotlib是一个用于创建可视化图表的Python库,图例是图表中的关键组成部分,能够帮助我们更好地理解图表中的数据。本文将详细介绍如何在Matplotlib中添加图例,让您的可视化图表更加清晰易懂。 1. 在图表中添加基本图例
Here, we will add a legend to the scatter plot created in the previous example: In thesns.scatterplot()function, we defined a new argumenthue =to which we parsed day. That argument colored the points by the day of the week to which they belong. ...
linestyle='--') line2, = plt.plot([3,2,1], label="Line 2", linewidth=4) # 为第一个线条创建图例 first_legend = plt.legend(handles=[line1], loc=1) # 手动将图例添加到当前轴域 ax = plt.gca().add_artist(first_legend) # 为第二个线条创建另一个图例 plt.legend(handles=[line2]...
red_dot, = ax.plot(z,"ro", markersize=15)# Put a white cross over some of the data.white_cross, = ax.plot(z[:5],"w+", markeredgewidth=3, markersize=15)# 下面代码将red_dot和white_cross的图例合在一起变成红圈中含白十字ax.legend([red_dot, (red_dot, white_cross)], ["Attr ...
plt.legend([p3, p4], ['label', 'label1'], loc='lower right', scatterpoints=1) # Add l1 as a separate artist to the axes plt.gca().add_artist(l1) import matplotlib.pyplot as plt line1, = plt.plot([1,2,3], label="Line 1", linestyle='--') ...
x=np.linspace(0,10,100)functions=[np.sin,np.cos,np.tan,np.exp,np.log]plt.figure(figsize=(12,8))forfuncinfunctions:plt.plot(x,func(x),label=f'{func.__name__}(x) - how2matplotlib.com')plt.title('Multiple Mathematical Functions')plt.xlabel('x')plt.ylabel('y')plt.legend(ncol=...
In the code snippet above, we created two line plots using theplotfunction and specified labels for each plot. By calling thelegendfunction without any additional arguments, both line plots will be included in the legend. To add a legend to only one of the line plots, we can modify the ...
Add a colormap to the set recognized by get_cmap(). It can be used in two ways: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 register_cmap(name='swirly', cmap=swirly_cmap) register_cmap(name='choppy', data=choppydata, lut=128) In the first case, cmap must be a matplotlib.co...
ax.legend() # Add a legend. 或者pyplot-style x = np.linspace(0, 2, 100) plt.plot(x, x, label='linear') # Plot some data on the (implicit) axes. plt.plot(x, x**2, label='quadratic') # etc. plt.plot(x, x**3, label='cubic') plt.xlabel('x label') plt.ylabel('y la...
Matplotlib是一个Python绘图库,可用于创建各种类型的图表,包括直方图。要为直方图子图添加全局图例,可以按照以下步骤进行操作: 1. 导入Matplotlib库和Numpy库: ```...