To convert a Pandas column to a datetime format, you can use the to_datetime method. This method is part of the Pandas library and allows you to convert a column of strings to a datetime format.
Pandas Column to DateTime
import pandas as pd
df = pd.DataFrame({'date': ['05SEP2014:00:00:00.000']})
df['date'] = pd.to_datetime(df['date'], format='%d%b%Y:%H:%M:%S.%f')
print(df['date'])
Output:
The output of the above code shows that the date column has been converted to a datetime format.
0 2014-09-05
Name: date, dtype: datetime64[ns]
To filter based on a specific date, you can use the loc method of the DataFrame to select only the rows where the date column matches the desired date.
import pandas as pd
df = pd.DataFrame({'date': ['05SEP2014:00:00:00.000']})
df['date'] = pd.to_datetime(df['date'], format='%d%b%Y:%H:%M:%S.%f')
date_filter = df.loc[df['date'] == '2014-09-05']
print(date_filter)
Summary and Conclusion
In this article, we have learned how to convert pandas to datetime in python. I hope this was helpful. If you have any questions please comment below or reach out to me via my socials.