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📜  Pandas中一列的累积和 - Python

📅  最后修改于: 2022-05-13 01:54:33.548000             🧑  作者: Mango

Pandas中一列的累积和 - Python

使用预定义函数cumsum()可以轻松计算 Pandas 中列的累积总和。

示例 1:

Python3
import pandas as pd
import numpy as np
  
# Create a dataframe
df1 = pd.DataFrame({"A":[2, 3, 8, 14], 
                   "B":[1, 2, 4, 3], 
                   "C":[5, 3, 9,2]}) 
  
# Computing sum over Index axis
print(df1.cumsum(axis = 0))


Python3
import pandas as pd
import numpy as np
  
# Create a dataframe
df1 = pd.DataFrame({"A":[None, 3, 8, 14], 
                   "B":[1, None, 4, 3], 
                   "C":[5, 3, 9,None]}) 
  
# Computing sum over Index axis
print(df1.cumsum(axis = 0, skipna = True))


Python3
import pandas as pd
import numpy as np
  
# Create a dataframe
df1 = pd.DataFrame({"A":[2, 3, 8, 14], 
                   "B":[1, 2, 4, 3], 
                   "C":[5, 3, 9,2]}) 
  
# Computing sum over Index axis
print(df1.cumsum(axis = 1))


输出:

A   B   C
0   2   1   5
1   5   3   8
2  13   7  17
3  27  10  19

示例 2:

Python3

import pandas as pd
import numpy as np
  
# Create a dataframe
df1 = pd.DataFrame({"A":[None, 3, 8, 14], 
                   "B":[1, None, 4, 3], 
                   "C":[5, 3, 9,None]}) 
  
# Computing sum over Index axis
print(df1.cumsum(axis = 0, skipna = True))

输出:

A    B     C
0   NaN  1.0   5.0
1   3.0  NaN   8.0
2  11.0  5.0  17.0
3  25.0  8.0   NaN

示例 3:

Python3

import pandas as pd
import numpy as np
  
# Create a dataframe
df1 = pd.DataFrame({"A":[2, 3, 8, 14], 
                   "B":[1, 2, 4, 3], 
                   "C":[5, 3, 9,2]}) 
  
# Computing sum over Index axis
print(df1.cumsum(axis = 1))

输出:

A   B   C
0   2   3   8
1   3   5   8
2   8  12  21
3  14  17  19