Filtering Pandas DataFrames on dates

Filtering Pandas DataFrames on dates

Filtering Pandas DataFrames based on dates involves selecting rows that meet certain date-related conditions. Here are some common ways to filter DataFrames on dates using Pandas:

Assuming you have a DataFrame with a column named 'date' containing datetime objects:

import pandas as pd from datetime import datetime # Sample DataFrame data = {'date': ['2023-09-01', '2023-09-02', '2023-09-03'], 'value': [10, 20, 15]} df = pd.DataFrame(data) df['date'] = pd.to_datetime(df['date']) # Convert 'date' column to datetime objects # Filter rows for a specific date specific_date = datetime(2023, 9, 2) filtered_df = df[df['date'] == specific_date] # Filter rows within a date range start_date = datetime(2023, 9, 1) end_date = datetime(2023, 9, 2) date_range_filtered_df = df[(df['date'] >= start_date) & (df['date'] <= end_date)] print(filtered_df) print(date_range_filtered_df)

These are just some basic examples of how you can filter Pandas DataFrames based on dates. You can combine date-related conditions, use comparison operators (>, <, >=, <=, ==), and perform other operations to create more complex filters based on your specific requirements.

Examples

  1. Filtering Pandas DataFrame rows by specific date

    • Description: This query aims to filter rows in a Pandas DataFrame based on a specific date in a date column.
    • Code:
      filtered_df = df[df['date_column'] == '2022-01-15']

  2. Selecting Pandas DataFrame rows within a date range

    • Description: This query seeks to select rows in a Pandas DataFrame falling within a specified date range.
    • Code:
      filtered_df = df[(df['date_column'] >= '2022-01-01') & (df['date_column'] <= '2022-01-31')]

  3. Pandas DataFrame filter rows by date after a specific date

    • Description: This query focuses on filtering Pandas DataFrame rows with dates occurring after a specified date.
    • Code:
      filtered_df = df[df['date_column'] > '2022-01-15']

  4. Filtering Pandas DataFrame rows by month and year

    • Description: This query is about filtering Pandas DataFrame rows based on a specific month and year.
    • Code:
      filtered_df = df[(df['date_column'].dt.month == 1) & (df['date_column'].dt.year == 2022)]

  5. Selecting Pandas DataFrame rows on a specific day of the week

    • Description: This query aims to select rows in a Pandas DataFrame corresponding to a specific day of the week.
    • Code:
      filtered_df = df[df['date_column'].dt.dayofweek == 0] # 0 represents Monday

  6. Filtering Pandas DataFrame rows by date before a specific date

    • Description: This query focuses on filtering Pandas DataFrame rows with dates occurring before a specified date.
    • Code:
      filtered_df = df[df['date_column'] < '2022-01-15']

  7. Pandas DataFrame filter rows by date using between dates

    • Description: This query seeks to filter Pandas DataFrame rows within a date range using the between() function.
    • Code:
      filtered_df = df[df['date_column'].between('2022-01-01', '2022-01-31')]

  8. Selecting Pandas DataFrame rows based on month

    • Description: This query aims to select rows in a Pandas DataFrame based on a specific month.
    • Code:
      filtered_df = df[df['date_column'].dt.month == 1] # Selects rows for January

  9. Filtering Pandas DataFrame rows by year

    • Description: This query focuses on filtering Pandas DataFrame rows based on a specific year.
    • Code:
      filtered_df = df[df['date_column'].dt.year == 2022] # Selects rows for the year 2022

  10. Pandas DataFrame filter rows by date using date range

    • Description: This query is interested in filtering Pandas DataFrame rows within a specified date range using the between() function.
    • Code:
      start_date = pd.to_datetime('2022-01-01') end_date = pd.to_datetime('2022-01-31') filtered_df = df[df['date_column'].between(start_date, end_date)]

More Tags

in-clause jquery compiler-construction symfony4 html5-audio backtracking soql angular-service-worker graph format

More Python Questions

More Entertainment Anecdotes Calculators

More Chemical thermodynamics Calculators

More Weather Calculators

More Internet Calculators