Python | Pandas Panel.pow()
在熊猫中，面板是一个非常重要的三维数据容器。三个轴的名称旨在为描述涉及面板数据的操作，特别是面板数据的计量经济学分析提供一些语义含义。
熊猫 Panel.pow() 函数用于获得数列和数据框/面板的指数幂。
语法: Panel.pow(其他，轴=0)
参数: 其他:数据框或面板 轴:轴广播结束
返回:面板
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:
