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How to Change the Pandas Datetime Format in Python

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by Abdul Rawoof A R dot icon Updated: Jan 31, 2023

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Time formats refer to how time is represented and displayed, such as hours, minutes, and seconds. Some common time formats include the 12-hour clock format with AM/PM notation, the 24-hour clock format, and ISO 8601 format. Additionally, there are different ways to display timezone, like UTC offset, or timezone names. 


In pandas, time formats can be created using the "to_datetime()" function, which can convert various formats into a datetime object. 

  • to_datetime(): This function is useful when working with time-series data, as it allows you to easily manipulate and analyze the data using the powerful datetime functionality provided by pandas. 

You can also specify the time string format using the “format” parameter. This is useful when the time string does not match the default format. 

  • format: This parameter is used to specify the desired format of the output when using certain programming functions or methods. This can be useful for creating dynamic strings that include variables or other data. 


You may have a look at the code given below for knowing more about Time Formats in Pandas. 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using Pandas library.

Time format on pandas

PythondotLines of Code : 19dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import pandas as pd
df = pd.DataFrame({'year': [2001, 2012],
                   'month': [1, 12],
                   'day': [16, 19],
                   'hour': [1, 23],
                   'minutes': [5, 35],
                   'val1': [1.23, 1.151]})

df['Date'] = pd.to_datetime(df[['year', 'month', 'day', 'hour', 'minutes']])
print(df)
#   year  month  day  hour  minutes   val1                Date
#0  2001      1   16     1        5  1.230 2001-01-16 01:05:00
#1  2012     12   19    23       35  1.151 2012-12-19 23:35:00

df.set_index('Date').between_time('19:00', '23:40')
#                     year  month  day  hour  minutes   val1
#Date                                                       
#2012-12-19 23:35:00  2012     12   19    23       35  1.151

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Add required dependencies and import them in Python file.
  4. Run the file to generate the output.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for 'Time format on pandas' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.
  3. Pandas version-v1.5.2.


Using this solution, we are able to implement time format on pandas with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to implement time format on pandas.

Dependent Library

pandasby pandas-dev

Python doticonstar image 38689 doticonVersion:v2.0.2doticon
License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Support
    Quality
      Security
        License
          Reuse

            pandasby pandas-dev

            Python doticon star image 38689 doticonVersion:v2.0.2doticon License: Permissive (BSD-3-Clause)

            Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
            Support
              Quality
                Security
                  License
                    Reuse

                      You can also search for any dependent libraries on kandi like 'pandas'.

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