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()...
Draw two plots on the same figure: import matplotlib.pyplot as pltimport numpy as np#day one, the age and speed of 13 cars:x = np.array([5,7,8,7,2,17,2,9,4,11,12,9,6]) y = np.array([99,86,87,88,111,86,103,87,94,78,77,85,86])plt.scatter(x, y)#day two, the...
面向对象 API：底层通过 `Figure` 和 `Axes` 对象精细控制 多后端支持：可输出 PNG/PDF/SVG 或嵌入 GUI（如 Tkinter） 与其他库集成： Pandas: `df.plot()` 直接绘图 Seaborn: 提供更美观的统计图表样式 Object-oriented API: Fine-grained control via `Figure` and `Axes` objects Multiple ...
画板（figure）画板存在的意义：1. 控制图像的比例情况（大小） 保存图像2. 创建一个画板plt.figure( ...
So let's 'break' or 'cut-out' the y-axis # into two portions - use the top (ax) for the outliers, and the bottom # (ax2) for the details of the majority of our data f, (ax, ax2) = plt.subplots(2, 1, sharex=True) # plot the same data on both axes ax.plot(pts) ...
# First create a grid of plots # ax will be an array of two Axes objects fig, ax = plt.subplots(2) # Call plot() method on the appropriate object ax[0].plot(x, np.sin(x)) ax[1].plot(x, np.cos(x)); 散点图 散点图表示有不同的方法和自定义。
Then, we create a figur usingfigure()method. To create multiple plots , we usesubplots()function. Next, we define data coordinates. Then, we useplot()function to plot a line graph. After this, we create two empty list defininghandelsandlabels. ...
fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.plot_surface(X, Y, rv.pdf(pos), cmap="plasma") plt.show() Output: Plot two different 3D distributions We can add two different 3D plots to the same figure, with the help of thefig.add_subplotmethod. ...
You can loosely think of it as a process where you create figures one at a time,and all commands affect the current figure and the current plot. 您可以粗略地将其视为一个一次创建一个地物的过程,所有命令都会影响当前地物和当前绘图。 We will mostly use NumPy arrays for storing the data that...
library, we can generate multiple sub-plots in the same graph or figure. Matplotlib provides two interfaces to do this task -plt.subplots( )andplt.figure(). Logic is similar in both the ways - we will have a figure and we'll add multiple axes (sub-plots) on the figure one by one....