plt.figure(figsize=(8,6))plt.plot([1,2,3,4],[1,4,2,3],color=(1,0,0,0.5),label='Red (50% opacity)')plt.plot([1,2,3,4],[2,3,4,1],color=(0,0,1,0.5),label='Blue (50% opacity)')plt.title('RGBA Color Values - how2mat
label='Line 1')plt.plot([1,2,3,4],[2,3,4,1],color='tab:orange',label='Line 2')plt.title('How to use Tab Colors in Matplotlib - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.show()
plt.plot([5,15],label='Rice')plt.plot([3,6],label='Oil')plt.plot([8.0010,14.2],label='Wheat')plt.plot([1.95412,6.98547,5.41411,5.99,7.9999],label='Coffee')# Add labels and title plt.title("Interactive Plot")plt.xlabel("X-axis")plt.ylabel("Y-axis")plt.legend()plt.show() 复制...
plt.bar([2,4,6,8,10],[8,6,2,5,6],label=”Example two”, color=’g’)plt.legend()plt.xlabel(‘bar number’)plt.ylabel(‘bar height’) plt.title(‘Wow! We Got OurFirst Bar Graph’) plt.show() 将以上编码复制粘贴到Jupyter notebook,运行该命令,饼状图如下所示:说明: 导入matplotli...
用于更改 matplotlib 图例样式的模块。 图例中的文本根据相应的线条/散点进行颜色编码。 从图例中删除标记和线条。 安装 git clone https://github.com/roundhead/colorlegend cd colorlegend sudo python2 setup.py install 用法 有关详细信息,请参见示例。
I do not know if it was ever intended to combine the bbox_to_anchor and the loc kwargs in legend. But it results in a behavior that I find rather surprising. Code for reproduction import matplotlib.pyplot as plt def do_plot(ax, loc='best', bbox_to_anchor=(0.5, 0.5), color='bla...
Plot legend example As you can see, the plt.legend() function keeps track of the line style and color, and matches these with the correct label. More information on specifying and formatting plot legends can be found in the plt.legend() docstring; additionally, we will cover some more ...
在legend的参数中, loc参数设置图例的显示位置的: plt.legend([l1, l2], ['first', 'second'], loc = 'upper right') #其中,loc表示位置的; 'best' : 0, (only implemented for axes legends)(自适应方式) 'upper right' : 1, 'upper left' : 2, 'lower left' : 3, 'lower right' : 4...
th=np.linspace(0,2*np.pi,128)defdemo(sty):mpl.style.use(sty)fig,ax=plt.subplots(figsize=(3,3))ax.set_title('style: {!r}'.format(sty),color='C0')ax.plot(th,np.cos(th),'C1',label='C1')ax.plot(th,np.sin(th),'C2',label='C2')ax.legend()demo('default') ...
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