how to convert a str column to datemonth format

To convert a string column to the date-month format, you can use the `to_datetime` function from the pandas library. Here's an example:

import pandas as pd

# Create an example DataFrame with a string column
df = pd.DataFrame({'Date': ['2022-01-01', '2022-02-01', '2022-03-01']})

# Convert the string column to date-month format
df['Date'] = pd.to_datetime(df['Date']).dt.strftime('%b-%Y')

print(df)

Output:

      Date
0  Jan-2022
1  Feb-2022
2  Mar-2022

In the above code, we use the `to_datetime` function to convert the string column `Date` to a datetime format. Then, we use the `dt.strftime('%b-%Y')` method to format the datetime values as month abbreviations followed by the year. The result is assigned back to the `Date` column in the DataFrame.