The location can also be a 2-tuple giving the coordinates of the lower-left corner of the legend in axes coordinates (in which case *bbox_to_anchor* will be ignored). For back-compatibility, ``'center right'`` (but no other location) can also be spelled ``'right'``, and each "s...
theta1=np.linspace(0,2*np.pi,50)r1=np.random.rand(50)theta2=np.linspace(0,2*np.pi,50)r2=np.random.rand(50)fig,ax=plt.subplots(subplot_kw=dict(projection='polar'))ax.scatter(theta1,r1,label='Group 1')ax.scatter(theta2,r2,label='Group 2')ax.legend()ax.set_title('How2matplo...
'label2', 'label3')) Parameters: loc : int or string or pair of floats, default: ‘upper right’ The location of the legend. Possible codes are: Location String Location Code ‘best’ 0 ‘upper right’ 1 ‘upper left’ 2 ‘lower left’ 3 ‘lower right’ 4 ‘right’ 5 ‘center l...
box = AnchoredAuxTransformBox(ax.transData, loc=2) el = Ellipse((0,0), width=0.1, height=0.4, angle=30) # in data coordinates! box.drawing_area.add_artist(el) 1. 2. 3. 4. 5. 上述示例中的椭圆具有在数据坐标中对应于 0.1 和 0.4 的宽度和高度,并且当轴域的视图限制改变时将自动缩放。
el= Ellipse((0,0), width=0.1, height=0.4, angle=30)#in data coordinates!box.drawing_area.add_artist(el) 上述示例中的椭圆具有在数据坐标中对应于 0.1 和 0.4 的宽度和高度,并且当轴域的视图限制改变时将自动缩放。 源代码 如图例所示,可以设置bbox_to_anchor参数。 使用HPacker和VPacker,你可以像图...
Alternatively can be a 2-tuple giving x, y of the lower-left corner of the legend in axes coordinates (in which case bbox_to_anchor will be ignored). In [44]: plt.axis([0,5,0,20]) ...: plt.title('_Kazusa', fontsize=20, fontname='Times New Roman') ...: plt.xlabel('x...
43 堆积面积图 (Stacked Area Chart) 44 未堆积的面积图 (Area Chart UnStacked) 45 日历热力图 (Calendar Heat Map) 46 季节图 (Seasonal Plot) 七、分组 (Groups) 47 树状图 (Dendrogram) 48 簇状图 (Cluster Plot) 49 安德鲁斯曲线 (Andrews Curve) 50 平行坐标 (Parallel Coordinates)加入...
d、Legend e、Grid f、Text g、Annotation 网格系统 importmatplotlib.pyplotasplt plt.figure() ax1 = plt.subplot2grid((3,3), (0,0), colspan=3, rowspan=1) ax1.plot([1,2],[1,2]) ax1.set_title("ax1_title") ax2 = plt.subplot2grid((3,3), (1,0), colspan=2) ...
legends:Legend 对象列表,用于显示图示; lines: Line2D对象列表; patches: Patch对象列表; texts:Text 对象列表,用于显示文字; axes容器: 它是整个matplotlib的核心,它包含了组成图表的众多的artist对象。并且有很多方法。我们常用的Line2D啦,Xaxis,YAxis等都是它的性哦;可以通过这个对象的属性来设置坐标轴的label啦...
plt.legend() plt.savefig("stackplot_demo.png") 例子二: importnumpy as npimportmatplotlib.pyplot as plt x= [1, 2, 3, 4, 5] y1= [1, 1, 2, 3, 5] y2= [0, 4, 2, 6, 8] y3= [1, 3, 5, 7, 9] y=np.vstack([y1, y2, y3]) ...