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📜  Python|熊猫面板.rsub()

📅  最后修改于: 2022-05-13 01:54:40.604000             🧑  作者: Mango

Python|熊猫面板.rsub()

在 Pandas 中，Panel 是一个非常重要的 3D 数据容器。 3 个轴的名称旨在为描述涉及面板数据的操作提供一些语义含义，特别是面板数据的计量经济学分析。

在 Pandas Panel.rsub()函数用于获取系列和数据框/面板的减法。

代码#1： 

# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'real'], 
                    'b': [111, 123, 425, 1333]}) 
  
df2 = pd.DataFrame({'a': ['I', 'am', 'dataframe', 'two'], 
                    'b': [100, 100, 100, 100]}) 
                      
data = {'item1':df1, 'item2':df2}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor') 
print("panel['b'] is - \n\n", panel['b']) 
  
print("\nSubtracting panel['b'] with df2['b'] using rsub() method - \n") 
print("\n", panel['b'].rsub(df2['b'], axis = 0)) 
输出： 
panel['b'] is - 

    item1  item2
0    111    100
1    123    100
2    425    100
3   1333    100

Subtracting panel['b'] with df2['b'] using rsub() method - 

    item1  item2
0    -11      0
1    -23      0
2   -325      0
3  -1233      0

代码#2： 

# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 
                    'b': [11, 1.025, 333, 114.48, 1333]}) 
  
data = {'item1':df1, 'item2':df1} 
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor') 
print("panel['b'] is - \n\n", panel['b'], '\n') 
  
# Create a 5 * 5 dataframe 
df2 = pd.DataFrame(np.random.rand(5, 2), columns =['item1', 'item2']) 
print("Newly create dataframe with random values is - \n\n", df2)
  
print("\nSubtracting panel['b'] with df2 using rsub() method - \n") 
print(panel['b'].rsub(df2, axis = 0)) 
输出： 
panel['b'] is - 

       item1     item2
0    11.000    11.000
1     1.025     1.025
2   333.000   333.000
3   114.480   114.480
4  1333.000  1333.000 

Newly create dataframe with random values is - 

       item1     item2
0  0.159943  0.383040
1  0.769608  0.776670
2  0.038762  0.889516
3  0.672955  0.094725
4  0.127130  0.729699

Subtracting panel['b'] with df2 using rsub() method - 

         item1        item2
0   -10.840057   -10.616960
1    -0.255392    -0.248330
2  -332.961238  -332.110484
3  -113.807045  -114.385275
4 -1332.872870 -1332.270301

代码#3： 

# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 
                    'b': [11, 1.025, 333, 114.48, 1333]}) 
                      
df2 = pd.DataFrame({'a': ['I', 'am', 'DataFrame', 'number', 'two'], 
                    'b': [10, 10, 10, 110, 110]})                     
                      
data = {'item1':df1, 'item2':df2} 
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor') 
  
print("panel['b'] is - \n\n", panel['b'], '\n') 
  
print("\nSubtracting panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rsub() method - \n") 
print("\n", panel['b']['item1'].rsub(df2['b'], axis = 0)) 
输出： 
panel['b'] is - 

       item1  item2
0    11.000     10
1     1.025     10
2   333.000     10
3   114.480    110
4  1333.000    110 


Subtracting panel['b']['item1'] with df2['b'] or panel['b']['item2'] using rsub() method - 


 0      -1.000
1       8.975
2    -323.000
3      -4.480
4   -1223.000
dtype: float64