Rearrange object DataFrame

Question

I'm trying to rearrange an object dataframe to be in DDMMYYYY format. The original format was MM/DD/YYYY.

import string
import pandas as pd
csv_file = 'export.csv'
df = pd.read_csv(csv_file, index_col=False)

df["Date1"] = df["Order_Date"].str.split(" ").str.get(0)
df["Date"] = df["Date1"].str.split("/")
zz= df["Date"]
print(zz)


>>>

0       [11, 01, 2022]
1       [11, 01, 2022]
2       [11, 01, 2022]
3       [11, 01, 2022]
4       [11, 01, 2022]
             ...      
2768    [11, 22, 2022]
2769    [11, 22, 2022]
2770    [11, 22, 2022]
2771    [11, 22, 2022]
2772    [11, 22, 2022]
Name: Date, Length: 2773, dtype: object

I want the output to be like this

>>>

0       [01112022]
1       [01112022]
2       [01112022]
3       [01112022]
4       [01112022]
             ...      

Answer 1

Use:

df["Date1"] = pd.to_datetime(df["Order_Date"].str.split().str.get(0)).dt.strftime('%d%m%Y')