在 Matplotlib 中放置具有不同列和行大小的子图

Question

我正在尝试创建 6 个子图。 2 个线图位于同一行，其下方的行将具有累积图，它将占据 2 列的 space。它将为 col1 和 col2 执行此操作，总共创建 6 个图（每个范围 3 个）。然而，这些图重叠了，我该如何修复它并使其符合 Format of the Plots.

中提到的格式

图表格式：

-line plot `col1`(column=1, row=1), line plot `col1` (column=2, row=1)
-cumulative plot `col1`(column= 1 and 2, row=2)
-line plot `col2`(column=1, row=3), line plot `col2` (column=2, row=3)
-cumulative plot `col2`(column= 1 and 2, row=4)

代码：

import matplotlib.pyplot as plt
import pandas as pd 
import numpy as np 


df = pd.DataFrame({
    'x': [1,2,3,4,5,6],
    'col1': [5,3,4,8,9,11],
    'col2': [2,6,3,11,3,6]
})


def Graphing():
    # Size of the figure 
    fig = plt.figure(figsize=(16, 9))
    
    for count, (y,plots,iterator,title) in enumerate(zip(                             
        [df['col1'],df['col2']],   # Range Columns 
        [[(4, 2, 1), (4, 2, 2), (4, 1, 2)], [(4, 2, 1), (4, 2, 2), (4, 1, 4)]], #Columns 
        [0,3], #iterator used to give different names to subplot_
        ['Column 1', 'Column 2'])): #Column used 
    
        for subplot_,add_plot,y,title2 in zip(
                             [f'sub{iterator+0}',f'sub{iterator+1}',f'sub{iterator+2}'],  #Name of the subplot sub0, sub1..
                             [plots[0],plots[1],plots[2]], # cordinates of the subplot 4, 2, 1), (4, 2, 2) ...
                             [y,y,np.cumsum(y)],
                             ['Line Plot','Line Plot', 'Cumulative Plot']):  # Range values for the plot 
            
            #Adds Subplot
            subplot_ = fig.add_subplot(*add_plot)
            
            #Title
            subplot_.set(title=f'{title} {title2}')
            
            # Sets up the x,y, color of the plot 
            getattr(subplot_, 'plot')(df['x'],y,color='r', marker='o')
                
    # Show Graph 
    plt.show()  
        
Graphing()

输出：

Answer 1

将它移到第一个 for 循环中

        fig = plt.figure(figsize=(16, 9))

其次，在你的内部循环完成后显示情节

        plt.show()

三、修改sub-plot索引

[[(4, 2, 1), (4, 2, 2), (4, 1, 3)], [(4, 2, 1), (4, 2, 2), (4, 1, 3)]], #Columns

这里是修改后的绘图函数

def Graphing():
    # Size of the figure 
    
    for count, (y,plots,iterator,title) in enumerate(zip(                             
        [df['col1'],df['col2']],   # Range Columns 
        [[(4, 2, 1), (4, 2, 2), (4, 1, 3)], [(4, 2, 1), (4, 2, 2), (4, 1, 3)]], #Columns 
        [0,3], #iterator used to give different names to subplot_
        ['Column 1', 'Column 2'])): #Column used 

        fig = plt.figure(figsize=(16, 9))
    
        for subplot_,add_plot,y,title2 in zip(
                             [f'sub{iterator+0}',f'sub{iterator+1}',f'sub{iterator+2}'],  #Name of the subplot sub0, sub1..
                             [plots[0],plots[1],plots[2]], # cordinates of the subplot 4, 2, 1), (4, 2, 2) ...
                             [y,y,np.cumsum(y)],
                             ['Line Plot','Line Plot', 'Cumulative Plot']):  # Range values for the plot 
            
            #Adds Subplot
            subplot_ = fig.add_subplot(*add_plot)
            
            #Title
            subplot_.set(title=f'{title} {title2}')
            
            # Sets up the x,y, color of the plot 
            getattr(subplot_, 'plot')(df['x'],y,color='r', marker='o')
            
        plt.show()
    # Show Graph 
#     plt.show()

在 Matplotlib 中放置具有不同列和行大小的子图

Placing Subplots in Matplotlib with Occupying Different column and row sizes

python

numpy

matplotlib

dataframe

pandas