In this section, we learn about how to put legend outside plot in matplotlib in Python. Now before starting the topic firstly, we have to understand what does“legend”means. Legendis an area that outlines the elements of the graph. MY LATEST VIDEOS The following steps are used to plot l...
plt.plot(x, np.sin(x),'-g', label='sin(x)') plt.plot(x, np.cos(x),':b', label='cos(x)') plt.axis('equal') plt.legend(); 上图可见,plt.legend()函数绘制的图例线条与图中的折线无论风格和颜色都保持一致。查阅plt.legend文档字...
在Matplotlib中,图例的设置可以使用plt.legend()函数,我们还可以重新定义图例的内容、位置、字体大小等参数。 Matplotlib图例的主要参数配置如下: plt.legend(loc,fontsize,frameon,ncol,title,shadow,markerfirst,markerscale,numpoints,fancybox,framealpha,borderpad,labelspacing,handlelength,bbox_to_anchor,*) 基础图...
plt.plot(x, y[:, 0], label='first') plt.plot(x, y[:, 1], label='second') plt.plot(x, y[:, 2:]) plt.legend(framealpha=1, frameon=True); 多个图例Legends fig, ax = plt.subplots() lines = [] styles = ['-', '--', '-.', ':'] x = np.linspace(0, 10, 1000) ...
colors = ['gray', 'lightpink', 'skyblue'] plt.fill_between(df['value'], color=colors[type], alpha=0.5) plt.legend() plt.show() Out: TypeError: list indices must be integers or slices, not type (查看英文版本获取更加准确信息)
Next, we have defined the plot’s title using the set_title function. We also defined the labels along the x and the y axes using the set_xlabel and the set_ylabel functions. We used the show function at the end of the legend_outside function to display the plot. Note that in Jupyt...
ax.legend(loc="best") plt.show() Output: Plot markers of varying size In the scatter plots that we have seen so far, all the point markers have been of constant sizes. We can alter the size of markers by passing custom values to the parametersof the scatter plot. ...
mode : {"expand", None} If `mode` is set to ``"expand"`` the legend will be horizontally expanded to fill the axes area (or `bbox_to_anchor` if defines the legend's size). bbox_transform : None or :class:`matplotlib.transforms.Transform` The transform for the bounding box (`b...
Provides a new artist for matplotlib to display a scale bar, aka micron bar. - matplotlib-scalebar/matplotlib_scalebar/scalebar.py at 2c57173d67a346b323a4afff7b7dd9c7f1314da4 · ppinard/matplotlib-scalebar
Workaround#2:from outside of matplotlib: save the image in SVG format and then convert to png. For example using--export-area-drawingoption in theinkscapecommand line UI or "resize to page" option in the inkscape's GUI. However, in this case you have to depend on external softwares whic...