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pythonstringpandasdataframefpgrowth

Convert string formatted as Pandas DataFrame into an actual DataFrame

I am trying to convert a formatted string into a pandas data frame.

[['CD_012','JM_022','PT_011','CD_012','JM_022','ST_049','MB_021','MB_021','CB_003'
,'FG_031','PC_004'],['NL_003','AM_006','MB_021'],
['JA_012','MB_021','MB_021','MB_021'],['JU_006'],
['FG_002','FG_002','CK_055','ST_049','NM_004','CD_012','OP_002','FG_002','FG_031',
'TG_005','SP_014'],['FG_002','FG_031'],['MD_010'],
['JA_012','MB_021','NL_003','MZ_020','MB_021'],['MB_021'],['PC_004'],
['MB_021','MB_021'],['AM_006','NM_004','TB_006','MB_021']]

I am trying to use the pandas.DataFrame method to do so but the result is that this whole string is placed inside one element in the DataFrame.

Solution

  • Best approach would be to split the string with the '],[' delimeter and then convert to df. 

    
import numpy as np
import pandas as pd

def stringToDF(s):
    array = s.split('],[')

    # Adjust the constructor parameters based on your string
    df = pd.DataFrame(data=array,    
              #index=array[1:,0],    
             #columns=array[0,1:]
             ) 

    print(df)
    return df

stringToDF(s)

    Good luck!