📜  Python|熊猫面板.pow()

📅  最后修改于: 2022-05-13 01:54:28.150000             🧑  作者: Mango

Python|熊猫面板.pow()

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.pow()函数用于获取系列和数据框/面板的指数幂。

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': [2, 3, 2, 2]}) 
                      
data = {'item1':df1, 'item2':df2}
  
# creating Panel 
panel = pd.Panel.from_dict(data, orient ='minor') 
print("panel['b'] is - \n\n", panel['b']) 
  
print("\nExponential power of panel['b']['item1'] with df2['b'] using pow() method - \n") 
print("\n", panel['b']['item1'].pow(df2['b'], axis = 0)) 

输出:


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("\nExponential power of panel['b'] with df2 using pow() method - \n") 
print(panel['b'].pow(df2, axis = 0)) 

输出:

代码#3:

# importing pandas module 
import pandas as pd 
import numpy as np 
  
df1 = pd.DataFrame({'a': ['Geeks', 'For', 'geeks', 'for', 'real'], 
                    'b': [2, 4, 6, 6, 10]}) 
                      
df2 = pd.DataFrame({'a': ['I', 'am', 'DataFrame', 'number', 'two'], 
                    'b': [10, 5, 3, 6, 7]})                     
                      
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("\nExponential power of panel['b']['item1'] with df2['b'] or panel['b']['item2'] using pow() method - \n") 
print("\n", panel['b']['item1'].pow(df2['b'], axis = 0)) 

输出: