rotation=45) #添加图例 plt.legend(loc = 2) #添加描述信息 plt.xlabel("月份") plt.ylabel("...
loc : str or pair of floats, default: :rc:`legend.loc` ('best' for axes, 'upper right' for figures) The location of the legend. The strings ``'upper left', 'upper right', 'lower left', 'lower right'`` place the legend at the corresponding corner of the axes/figure. The string...
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...
x=range(0,5)y1=[2,5,7,8,10]y2=[3,6,8,9,11]fig,ax=plt.subplots()ax.plot(x,y1)ax.plot(x,y2)print(ax.lines);# 通过直接使用辅助方法画线,打印ax.lines后可以看到在matplotlib在底层创建了两个Line2D对象 #<Axes.ArtistListof2lines>plt.show() ...
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() ...
<matplotlib.axes._subplots.AxesSubplot objectat0x0000028E76D0FFD0>]], dtype=object) ## 调整subplot间距 plt.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) fig, axes = plt.subplots(2,2, sharex=True, sharey=True)foriinrange(2):forjinrange(2): ...
ax3.legend(loc='best')ax4.plot(np.random.randn(50).cumsum(),'darkgoldenrod',drawstyle = 'steps-post', label='step-post',alpha=0.5)ticks = ax4.set_xticks([0,10,20,30,40,50])labels = ax4.set_xticklabels(['one','two','three','four','five','six'],rotation=30,\ fontsize='...
plt.legend(handles=(spring,summer,autumn,winter), labels=('Spring', 'Summer','Fall/Autumn', 'Winter'), title="Season",title_fontsize=16, scatterpoints=1, bbox_to_anchor=(1, 0.7), loc=2,borderaxespad=1., ncol=1, fontsize=14) ...
We have two separate scatter plots in the figure: one represented byxand another by theomark. We assign thelabelto each scatter plot used as a tag while generating the legend. Then, we create the legend in the figure using thelegend()function and finally display the entire figure using the...