在 For 循环中重命名并创建 dataframe？

Question

i have a list ['jan','feb'] and i am trying to loop in a for loop for creating a dataframe

    name = ['jan','feb']
    for month in name:
       df = pd.DataFrame(name, columns = ['month'])

This is the current output i'm getting.

df

           month
        0    jan
        1    feb

What i required is to creating a df w.r.t to the values in list. So when 1st value in list is passed 'jan' .

Is there a way to rename and creating the df while looping?

jan

           month
        0    jan

feb

           month
        0    feb

Answer 1

In the example you are giving, you are recreating the same dataframe over and over again. You would achieve the same with a simple

   df = pd.DataFrame(name, columns = ['month'])

You are not using the loop variable month in the loop.

I believe you want to create multiple dataframes, one for each month. To do this, you could use a dictionary:

import pandas as pd

df_dict = {}

name = ['jan','feb']
for month in name:
    df_dict[month] = pd.DataFrame([month])

for month in name:
    print("key: ", month)    
    print("dataframe:")
    print(df_dict[month], end='\n\n')

resulting in

key:  jan
dataframe:
     0
0  jan

key:  feb
dataframe:
     0
0  feb

In order to create variables (though I am not sure why you would want to do this), you can modify the above code as follows:

import pandas as pd

name = ['jan','feb']
for month in name:
    globals()[month] = pd.DataFrame([month])

print(jan)
print(feb)