在 Pandas 中,Panel是一个非常重要的三维数据容器。 3个轴的名称旨在为描述涉及面板数据的操作,尤其是面板数据的计量分析提供一些语义上的含义。
在 Pandas Panel.rsub()
函数用于减去系列和 DataFrame /面板。
用法: Panel.rsub(other, axis=0)
参数:
other: DataFrame 或面板
axis:广播轴
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':[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
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注:本文由纯净天空筛选整理自Shivam_k大神的英文原创作品 Python | Pandas Panel.rsub()。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。