1.1 使用plt.subplot() plt.subplot()函数允许我们更灵活地创建子图。它使用三位数的参数来指定子图的位置。 importmatplotlib.pyplotaspltimportnumpyasnp# 创建一个图形plt.figure(figsize=(12,8))# 创建4个子图plt.subplot(221)x=np.linspace(0,5,100)plt.plot(x,x**2)plt.title('Square Function - how...
参考:How to Create Different Subplot Sizes in Matplotlib Matplotlib是Python中最流行的数据可视化库之一,它提供了强大而灵活的工具来创建各种类型的图表。在数据分析和科学研究中,我们经常需要在同一个图形中展示多个相关但不同的图表。这就需要用到Matplotlib的子图(subplot)功能。本文将详细介绍如何在Matplotlib中创建...
用于绘图 import matplotlib.pyplot as plt # 导入seaborn库并设置别名为sns，用于高级绘图 import seaborn...
subplot(211)把画图区域等分为2行*1列共两个区域, 然后在区域1(上区域)中创建一个轴对象. pl.subplot(212)在区域2(下区域)创建一个轴对象。 You can play around with plotting a variety of layouts. For example, Fig. 11 is created using the following commands: f1 = pl.figure(1) pl.subplot(22...
After the initialization of grid size, we can adjust the size according to your relevance by varying the input coordinates in theadd_subplot()function. The coordinates of the axes which we enter as parameters in thesub_plot()method specify the initial and final position of the plot (i.e. ...
也可以通过fig.add_subplot(2, 2, 1)的方式生成Axes,前面两个参数确定了面板的划分,例如 2, 2会将整个面板划分成 2 * 2 的方格,第三个参数取值范围是 [1, 2*2] 表示第几个Axes。如下面的例子: fig= plt.figure()ax1= fig.add_subplot(221)ax2= fig.add_subplot(222)ax3= fig.add_subplot(224...
222)#2行2列中的第2个图ax2.plot(x,y)ax2.set_title('子图2')# 子图3ax3=plt.subplot(2,2...
(4, 4, hspace=0.5, wspace=0.2) # Define the axes ax_main = fig.add_subplot(grid[:-1, :-1]) ax_right = fig.add_subplot(grid[:-1, -1], xticklabels=[], yticklabels=[]) ax_bottom = fig.add_subplot(grid[-1, 0:-1], xticklabels=[], yticklabels=[]) # Scatterplot on...
The object oriented API usually starts by initializing oneFigureobject and one or moreAxesobject using thesubplot()function. Then the methods of those objects will be used to apply changes to the chart. # import librariesimportpandasaspdimportmatplotlib.pyplotasplt# Create a data framedf=pd.DataFr...
('Different degree curves', fontsize=19, fontweight='bold') # Plot the subplots # Plot 1 plt.subplot(2, 2, 1) plt.plot(x, y1, 'g', linewidth=2) plt.title('Plot 1: 1st Degree curve', fontsize=15) # Plot 2 plt.subplot(2, 2, 2) plt.scatter(x, y2, color='k') plt....