在 Pandas 中,Panel是一個非常重要的三維數據容器。 3個軸的名稱旨在為描述涉及麵板數據的操作,尤其是麵板數據的計量分析提供一些語義上的含義。
在 Pandas Panel.mul()
函數用於獲取序列和 DataFrame /麵板的乘積。
用法: Panel.mul(other, axis=0)
參數:
other: DataFrame 或麵板
axis:廣播軸
返回:麵板
代碼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("\nMultiplying panel['b'] with df2['b'] using mul() method - \n")
print("\n", panel['b'].mul(df2['b'], axis = 0))
輸出:
代碼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("\nMultiplying panel['b'] with df2 using mul() method - \n")
print(panel['b'].mul(df2, axis = 0))
輸出:
代碼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("\nMultiplying panel['b']['item1'] with df2['b'] or panel['b']['item2'] using mul() method - \n")
print("\n", panel['b']['item1'].mul(df2['b'], axis = 0))
輸出:
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注:本文由純淨天空篩選整理自Shivam_k大神的英文原創作品 Python | Pandas Panel.mul()。非經特殊聲明,原始代碼版權歸原作者所有,本譯文未經允許或授權,請勿轉載或複製。