以下是一个将图例放置在图表底部的示例: importmatplotlib.pyplotaspltimportnumpyasnp# 创建示例数据x=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)# 创建2x2的子图网格fig,axs=plt.subplots(2,2,figsize=(10,10))# 在每个子图中绘制数据foraxinaxs.flat:ax.plot(x,y1,label='Sine - how2matplo...
place the legend at the corresponding corner of the axes/figure. The strings ``'upper center', 'lower center', 'center left', 'center right'`` place the legend at the center of the corresponding edge of the axes/figure. The string ``'center'`` places the legend at the center of the...
fig = plt.figure(figsize=(6, 5))plt.subplots_adjust(bottom = 0., left = 0, top = 1., right = 1)# 创建第一个轴,左上角的图用绿色的图sub1 = fig.add_subplot(2,2,1) # 两行两列,第一单元格# 创建第二个轴,即左上角的橙色轴sub2 = fig.add_subplot(2,2,2) # 两行两列,第...
如果尝试使用 plt.legend 或ax.legend 创建第二个图例,它将覆盖第一个图例。 为了解决这个问题,我们可以从头开始创建一个新的图例艺术家(Artist 是Matplotlib 用于视觉属性的基类),然后使用较低级别的 ax.add_artist 方法手动将第二个艺术家添加到绘图中(见下图): fig, ax = plt.subplots() lines = [] style...
fig, ax = plt.subplots() # the histogram of the data n, bins, patches = ax.hist(x, num_bins, normed=1) # add a 'best fit' line y = mlab.normpdf(bins, mu, sigma) ax.plot(bins, y, '--') ax.set_xlabel('Smarts')
x=np.linspace(0,2,100)fig,ax=plt.subplots()ax.plot(x,x,label='linear')ax.plot(x,x**2,label='quadratic')ax.plot(x,x**3,label='cubic')ax.set_xlabel('x label')ax.set_ylabel('y label')ax.set_title("Simple Plot")ax.legend() ...
cm.Spectral(i/float(len(vals)-1)) for i in range(len(vals))] n, bins, patches = plt.hist(vals, 30, stacked=True, density=False, color=colors[:len(vals)]) # Decoration plt.legend({group:col for group, col in zip(np.unique(df[groupby_var]).tolist(), colors[:len(vals)])}...
plot() 函数中的 label 参数，为每条线条设置一个标签。最后，我们调用 matplotlib.pyplot.legend() 来...
, left = left, color=colors[idx]) left = left + df_grouped[name]# 标题、图例、标签plt.title('Video Game Sales By Platform and Region\n', loc='left')plt.legend(labels, bbox_to_anchor=([0.55, 1, 0, 0]), ncol=4, frameon=False)plt.xlabel('Millions of copies of all games...
Matplotlib subplot legendWe can also add a legend that is shared with all the subplots in the figure in matplotlib. We have to plot the figure by defining the axes and the figure using matplotlib.pyplot.subplots() function, and defining a global legend for the figure using figure.legend() ...