Python：使用带有局部函数的for循环将数据帧拆分为多个数据帧

Question

我在下面有一个 csv 文件：

name,apply,percent
A,101,98%
B,388,79%
C,637,88%
D,541,75%
E,345,98%
A,446,85%
D,211,49%

我尝试将数据帧拆分为多个数据帧，如 df_A、df_B、df_C、df_D 和 df_E。

for name in df.groupby('name'):
    locals()['df_'.name]=df[(df.name==name)]
     print(df_A)

没用。如何修复代码？非常感谢。

Answer 1

你可以试试这个，

>>> import pandas as pd
>>> df = pd.read_csv('a.csv')
>>> for name in df['name'].unique():
...     locals()['df_' + name] = df[(df.name == name)]
...
>>> df_A
  name  apply percent
0    A    101     98%
5    A    446     85%
>>> df_B
  name  apply percent
1    B    388     79%
>>> df_C
  name  apply percent
2    C    637     88%
>>> df_D
  name  apply percent
3    D    541     75%
6    D    211     49%
>>> df_E
  name  apply percent
4    E    345     98%

Python：使用带有局部函数的for循环将数据帧拆分为多个数据帧

Python: split dataframe into multiple dataframes by using for loop with locals function

python

pandas

dataframe

for-loop

local-variables