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How to slice a Pandas Dataframe based on datetime index

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to slice a Pandas Dataframe based on datetime index in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to slice a Pandas Dataframe based on datetime index?

  1. How to slice a Pandas Dataframe based on datetime index?

    If you have set the “Timestamp” column as the index , then you can simply use
    df['2009-05-01' :'2010-03-01']

  2. slice a Pandas Dataframe based on datetime index

    If you have set the “Timestamp” column as the index , then you can simply use
    df['2009-05-01' :'2010-03-01']

Method 1

If you have set the “Timestamp” column as the index , then you can simply use

df['2009-05-01' :'2010-03-01']

Method 2

IIUC, a simple slicing?

from datetime import datetime
df2 = df[(df.Timestamp >= datetime(2009, 05, 01)) &
         (df.Timestamp <= datetime(2010, 03, 01))]

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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