Parse Python List To Pandas DataFrame

I have an array that has values separated by '|'. I would like to parse it to a pandas data frame. import pandas as pd arr = ['19345360853|5264654|100530|2017-01-07', '1934536

Solution 1:

First, convert to two dimensional list

arr = [a.split("|") for a in arr]

Second, convert to pandas dataframe

data = pd.DataFrame(arr,columns=['Id','Code_A','Code_B','Reg_Date'])

            Id    Code_A  Code_B    Reg_Date
0  19345360853   5264654  100530  2017-01-07
1  19345360853  13518371  100530  2018-10-08

Convert column Reg_Date using astype (Ref: astype)

a =pd.DataFrame(arr,columns=['Id','Code_A','Code_B','Reg_Date'])
a['Reg_Date'] = a['Reg_Date'].astype('datetime64[ns]')