下面是一个利用tick_params的解决方案：
matplotlib.pyplot.pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.6, shadow=False, labeldistance=1.1, startangle=0, radius=1, counterclock=True, wedgeprops=None, textprops=None, center=0, 0, frame=False, rotatelabels=False, *, normalize=None, data=None) 数据: ...
plt.plot() plt.axvline() axhline() plt.title() plt.xticks() plt.tick_params() plt.lengend() plt.grid() plt.scatter() plt.bar() plt.hist() plt.pie() plt.fill_between() plt.imshow() plt.colorbar() plt.pcolormesh() plt.annotate() plt.ylim() 、 plt.xlim() plt.ylabel() ...
ticklabels are often long, and it helps to rotate them on the bottom subplot and turn them off on other subplots, as well as turn off xlabels. Parameters --- bottom : float, default: 0.2 The bottom of the subplots for `subplots_adjust`. rotation : float, default: 30 degrees The ...
(angles):plt.text(0.5,0.8-i*0.15,f'Rotation:{angle}°',rotation=angle,fontsize=14,ha='center',va='center')plt.text(0.5,0.1,'how2matplotlib.com',fontsize=16,ha='center',va='center',rotation=np.random.randint(0,360))plt.xlim(0,1)plt.ylim(0,1)plt.title('Rotated Text')plt....
imshow(units[:,:,i].T, interpolation=interp, cmap=colormap) plt.axis('on') ax1.set_xticklabels([]) ax1.set_yticklabels([]) plt.colorbar() if colormap_lim: plt.clim(colormap_lim[0],colormap_lim[1]) plt.subplots_adjust(wspace=0, hspace=0) plt.tight_layout() # Epochs ...