Pandas Series Between_time Method

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Introduction

The Pandas between_time() method is used to select values between specified times of the day in a Pandas Series object. It returns a new Series object consisting of the values within the specified time range. If the index is not a DatetimeIndex, it raises a TypeError.

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Create a Series with a DatetimeIndex

The first step is to create a Pandas Series with a DatetimeIndex. This can be done using the pd.date_range() function to generate a range of dates and times, and passing it as the index parameter when creating the Series object.

import pandas as pd

## Generate a range of dates and times
values = pd.date_range('2021-01-01', periods=5, freq='H')

## Create a Series with a DatetimeIndex
series = pd.Series([1, 2, 3, 4, 5], index=values)

## Print the Series
print(series)

Use the between_time() method to select values between a specific start and end time

The between_time() method can be used to select values between a specific start and end time. Simply pass the start time and end time as arguments to the method. The method returns a new Series object that contains only the values within the specified time range.

## Select values between 8:00 and 12:00
selected_values = series.between_time('8:00', '12:00')

## Print the selected values
print(selected_values)

Customize the include_start and include_end parameters

By default, the between_time() method includes the start and end times in the result. However, you can customize this behavior by setting the include_start and include_end parameters to False. This can be useful if you want to exclude the start and end times from the result.

## Select values between 8:00 and 12:00 without including the start and end times
selected_values = series.between_time('8:00', '12:00', include_start=False, include_end=False)

## Print the selected values
print(selected_values)

Summary

The between_time() method in Pandas allows you to select values between specified times of the day in a Series object. By customizing the include_start and include_end parameters, you can control whether the start and end times are included in the result. This method is useful for filtering data based on specific time ranges or intervals.

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