pandas - Python: how to iterate over dataframes while using their name as a string? -


i have 3 different pandas dataframes

df_1 df_2 df_3

i loop on dataframes, computations, , store output using name of dataframe. in other words, this

for my_df in [df_1, df_2, df_3]:   my_df.reset_index(inplace=true)   my_df.to_csv('mypath/' + my_df +'.csv')

output files expected:

'mypath/df_1.csv', 'mypath/df_2.csv' , 'mypath/df_3.csv'

i struggling doing because df_1 object, , not string. ideas how that?

thanks!

another more general solution create dict column names , loop items():

d = {'df_1':df_1,'df_2':df_3, 'df_3':df_3} k, my_df in d.items():     my_df.reset_index(inplace=true)     my_df.to_csv('mypath/' + k +'.csv')

another possible solution use list dataframes names, enumerate , value of name position:

names = ['a','b','c'] print ({names[i]: df i, df in enumerate([df_1, df_2, df_3])})

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