Matplotlib中如何在同一坐标轴上绘制两个箱线图 参考:Combining Two Boxplots With the Same Axes 箱线图是一种用于展示数据分布情况的统计图表,它可以直观地显示出一组数据的中位数、四分位数范围、异常值等重要统计信息。在数据分析和可视化中,我们经常需要比较不同
20,200)data2=np.random.normal(90,25,200)# 创建箱线图plt.figure(figsize=(10,6))plt.boxplot([data1,data2],labels=['Group 1','Group 2'])plt.title('Two Boxplots on Same Axes - how2matplotlib.com')plt.ylabel('Values')plt.show()...
plt.plot(np.round(zee),patches,'ro') File "/home/somesh/.local/lib/python3.8/site-packages/matplotlib/pyplot.py", line 2840, in plot return gca().plot( File "/home/somesh/.local/lib/python3.8/site-packages/matplotlib/axes/_axes.py", line 1745, in plot self.add_line(line) File "...
One straightforward method to achieve a square plot with equal axes is by using theset_aspect('equal')function in Matplotlib. We can set the aspect ratio usingmatplotlib.axes.Axes.set_aspect()function. If we use'equal'as an aspect ratio in the function, we get a plot with the same scali...
inaxes: Axes # 所属坐标系 key: str # 按键标识 button: int # 鼠标按钮ID ``` ## 二、交互式图表实现方法 ### 2.1 Widget组件集成 Matplotlib的widgets模块提供预制交互组件,通过`matplotlib.widgets`导入: ```python from matplotlib.widgets import Slider, Button ...
matplotlib.axes.Axes.plot matplotlib.pyplot.plot matplotlib.pyplot.subplots matplotlib.figure.Figure.savefig #First create some toy data:x=np.linspace(0,2*np.pi,400)y=np.sin(x**2)#Creates just a figure and only one subplotfig,ax=plt.subplots()ax.plot(x,y)ax.set_title('Simple plot')#...
(r_eig_vec.T);# Select the first two eigen vectors.w=r_eig_vec[:,0:2]#Project the dataset in to the dimension from 4 dimension to 2 using the right eignen vectorx_rd=x_s.dot(w)fig=plt.figure(1, figsize=(5,4))# Scatter plot the new two dimensionsplt.scatter(x_rd[:,0],...
Use a different bounding box than the plot axes to anchor the scale bar. Thebbox_transformdefines the transform applied to thebbox_to_anchorvalue. Note that thelocationwill influence the position of the scale bar relative to the anchor (see example below). Default:None, the plot axes boundi...
80) text(3.70, 3.60, "Legend") # Axes circle(0.5, 0.5) text(0.5, 0.3, "Axes"...
(r_eig_vec.T);# Select the first two eigen vectors.w=r_eig_vec[:,0:2]#Project the dataset in to the dimension from 4 dimension to 2 using the right eignen vectorx_rd=x_s.dot(w)fig=plt.figure(1,figsize=(5,4))# Scatter plot the new two dimensionsplt.scatter(x_rd[:,0],x...