Truncate `TimeStamp` column to hour precision in pandas `DataFrame`

Truncate `TimeStamp` column to hour precision in pandas `DataFrame`

To truncate a TimeStamp column to hour precision in a Pandas DataFrame, you can use the dt.floor() method with the pd.DateOffset object. Here's how you can achieve this:

Assuming you have a DataFrame named df with a TimeStamp column:

import pandas as pd # Sample DataFrame data = {'TimeStamp': ['2023-08-27 10:23:45', '2023-08-27 15:45:30', '2023-08-27 22:18:59']} df = pd.DataFrame(data) df['TimeStamp'] = pd.to_datetime(df['TimeStamp']) # Truncate to hour precision df['TruncatedTimeStamp'] = df['TimeStamp'] - pd.DateOffset(minutes=df['TimeStamp'].dt.minute, seconds=df['TimeStamp'].dt.second) print(df)

In this example, the pd.DateOffset object is used to subtract the minutes and seconds from the original TimeStamp column, effectively truncating it to hour precision. The result is stored in a new column named TruncatedTimeStamp.

Here's what the output might look like:

 TimeStamp TruncatedTimeStamp 0 2023-08-27 10:23:45 2023-08-27 10:00:00 1 2023-08-27 15:45:30 2023-08-27 15:00:00 2 2023-08-27 22:18:59 2023-08-27 22:00:00

This approach retains the date information while truncating the timestamp to the nearest hour. You can adjust the offset based on your specific requirements if you need to truncate to a different precision (e.g., day, month) or need to handle time zones.

Examples

  1. How to truncate TimeStamp to hour in pandas?

    • You can use the pd.to_datetime() method along with the dt.floor() function to truncate a TimeStamp to the hour.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"] }) df['timestamp'] = pd.to_datetime(df['timestamp']).dt.floor('H') # Truncate to hour

  2. Pandas: How to remove minutes and seconds from TimeStamp?

    • This code snippet demonstrates how to remove the minute and second components from a TimeStamp to keep only the hour.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"] }) df['timestamp'] = df['timestamp'].dt.round('H') - pd.Timedelta(minutes=df['timestamp'].dt.minute, seconds=df['timestamp'].dt.second) # Remove minutes and seconds

  3. How to group by hour in pandas DataFrame?

    • Grouping by hour involves truncating the TimeStamp to hour precision and then using the groupby() method.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"], 'value': [10, 20] }) df['timestamp'] = pd.to_datetime(df['timestamp']).dt.floor('H') # Truncate to hour grouped = df.groupby('timestamp')['value'].sum() # Group by hour and sum values

  4. Truncate to the beginning of the hour in pandas

    • This example shows how to use the dt.floor() function to truncate to the start of the hour, ensuring all entries align with the exact hour.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"] }) df['timestamp'] = pd.to_datetime(df['timestamp']).dt.floor('H') # Truncate to the beginning of the hour

  5. Convert TimeStamp to hourly intervals in pandas

    • To convert TimeStamp to hourly intervals, use the dt.floor() function to get the beginning of each hour.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"] }) df['timestamp'] = pd.to_datetime(df['timestamp']).dt.floor('H') # Convert to hourly intervals

  6. Pandas: Extract only hour from TimeStamp

    • This snippet extracts only the hour component from a TimeStamp to use it for various operations like grouping or filtering.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"] }) df['hour'] = pd.to_datetime(df['timestamp']).dt.hour # Extract only the hour

  7. Truncate TimeStamp to hour and add time zone information in pandas

    • This example demonstrates how to truncate to hour precision and set a time zone using the tz_localize() function.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"] }) df['timestamp'] = pd.to_datetime(df['timestamp']).dt.floor('H').tz_localize('UTC') # Truncate to hour and set time zone

  8. Truncate TimeStamp to hour and convert to string in pandas

    • This example shows how to truncate a TimeStamp to hour precision and convert it to a string for easier manipulation.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"] }) df['timestamp'] = pd.to_datetime(df['timestamp']).dt.floor('H').astype(str) # Truncate to hour and convert to string

  9. Round TimeStamp to nearest hour in pandas

    • This example demonstrates rounding TimeStamp to the nearest hour, which is different from truncating to hour precision.
    import pandas as pd df = pd.DataFrame({ 'timestamp': ["2024-04-30 12:34:56", "2024-04-30 13:45:12"] }) df['timestamp'] = pd.to_datetime(df['timestamp']).dt.round('H') # Round to nearest hour

  10. How to get the beginning of the hour from a TimeStamp in pandas?

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