Dropping time from datetime <[M8] in Pandas

Dropping time from datetime <[M8] in Pandas

To drop the time component from a datetime column in a Pandas DataFrame, you can use the .dt.date accessor. This will extract only the date part of the datetime column. Here's how you can do it:

Assuming you have a DataFrame named df with a datetime column named 'datetime_column':

import pandas as pd # Sample DataFrame with a datetime column data = {'datetime_column': ['2023-09-01 14:30:00', '2023-09-01 18:45:00']} df = pd.DataFrame(data) df['datetime_column'] = pd.to_datetime(df['datetime_column']) # Drop time component and keep only date df['date_column'] = df['datetime_column'].dt.date # Drop the original datetime column if not needed df = df.drop(columns=['datetime_column']) print(df)

Output:

 date_column 0 2023-09-01 1 2023-09-01

In this example, the .dt.date accessor is used to extract the date part from the 'datetime_column' and create a new column 'date_column' containing only the date component. The original datetime column is dropped from the DataFrame, resulting in a DataFrame with just the date values.

Examples

  1. How to drop time from datetime column in pandas DataFrame?

    Description: This query seeks a method to remove the time component from a datetime column in a pandas DataFrame.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = df['datetime_column'].dt.date

  2. Drop time part from datetime column in pandas DataFrame?

    Description: This query focuses on dropping the time part from a datetime column in a pandas DataFrame while retaining the date component.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = df['datetime_column'].dt.floor('d')

  3. How to remove time from datetime column in pandas Series?

    Description: This query addresses the need to remove the time component from a datetime column stored as a pandas Series.

    import pandas as pd # Assuming s is your Series of datetime values s = s.dt.normalize()

  4. Drop time information from datetime column in pandas DataFrame?

    Description: This query seeks a method to drop the time information from a datetime column in a pandas DataFrame, leaving only the date component.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = pd.to_datetime(df['datetime_column']).dt.date

  5. How to truncate time from datetime column in pandas DataFrame?

    Description: This query focuses on truncating or removing the time component from a datetime column in a pandas DataFrame.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = df['datetime_column'].dt.normalize()

  6. Drop hours and minutes from datetime column in pandas DataFrame?

    Description: This query addresses the need to drop hours and minutes from a datetime column in a pandas DataFrame while retaining the date component.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = df['datetime_column'].dt.floor('d')

  7. How to remove time portion from datetime column in pandas DataFrame without changing dtype?

    Description: This query seeks a method to remove the time portion from a datetime column in a pandas DataFrame without changing the data type.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = df['datetime_column'].dt.date

  8. Drop time from datetime column in pandas DataFrame without converting to string?

    Description: This query focuses on dropping the time component from a datetime column in a pandas DataFrame without converting the datetime values to strings.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = df['datetime_column'].dt.floor('d')

  9. How to eliminate time from datetime column in pandas DataFrame while preserving the datetime dtype?

    Description: This query addresses the need to eliminate the time component from a datetime column in a pandas DataFrame while maintaining the datetime data type.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = df['datetime_column'].dt.normalize()

  10. Drop time part from datetime column in pandas DataFrame and keep dtype as datetime64?

    Description: This query seeks a method to drop the time part from a datetime column in a pandas DataFrame while ensuring that the dtype remains as datetime64.

    import pandas as pd # Assuming df is your DataFrame and 'datetime_column' is the datetime column df['datetime_column'] = df['datetime_column'].dt.floor('d')

More Tags

viewchild javafx destroy interface rownum pyyaml gherkin python-extensions cursor-position checkboxfor

More Python Questions

More Chemistry Calculators

More Various Measurements Units Calculators

More Fitness-Health Calculators

More Electronics Circuits Calculators