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。
Syntax: Panel.pow(other, axis=0)
Parameters:
other : DataFrame or Panel
axis : Axis to broadcast over
Returns: Panel
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： _0.png)
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： _1.png)
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： _2.png)