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How to Find the Week of a Month in Pandas Python

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by vsasikalabe dot icon Updated: Jan 30, 2023

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Pandas provide a way to extract the week of the month from a date column. Extracting the week of the month from a date column in Pandas can have several applications. Here are a few examples:  

  • Time series analysis: Extracting the week of the month can provide additional information about a time series dataset, such as whether a trend or pattern is consistent across different weeks of the month.  
  • Data visualization: extracting the week of the month can be useful for creating visualizations that show how data changes over time.  
  • Data cleaning: extracting the week of the month can be useful for identifying and cleaning errors in a dataset.  
  • Data pre-processing: extracting the week of the month can be useful for creating new features for use in machine learning models. It can be used to group similar data together and make predictions based on time.  
  • Data manipulation: extracting the week of the month can be used to group data by a specific time frame and perform operations based on it.  


Here is how you can extract the week of the month using Pandas:

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

Code

In this solution we used pandas library of python.

Pandas Week of the Month

PythondotLines of Code : 23dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
# sample data
dow = pd.DataFrame(index=pd.date_range('2020-01-01', '2020-01-31'),
                   columns=['OpexFriday'])

isFriday = dow.index.dayofweek == 5
thirdWeek = dow.index.day.to_series().between(15,21)

# third Friday
dow['OpexFriday'] = (isFriday & thirdWeek).values

# third work week
dow['OpexWeek'] = dow['OpexFriday'].where(dow['OpexFriday']).bfill(limit=4).fillna(0)

# extract the third week:
dow[dow['OpexWeek']==1]

            OpexFriday  OpexWeek
2020-01-14       False       1.0
2020-01-15       False       1.0
2020-01-16       False       1.0
2020-01-17       False       1.0
2020-01-18        True       1.0

Instructions

Follow the steps carefully to get the output easily.

  1. Download and Install the PyCharm Community Edition on your computer.
  2. Install pandas on your IDE from python interpreter in setting options.
  3. Create new python file on your IDE.
  4. Copy the snippet using the 'copy' button and paste it in your python file.
  5. Import Pandas library.
  6. Run the current 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 ' Pandas Week of the Month ' 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 2022.3.
  2. The solution is tested on Python 3.11.1
  3. Pandas version-1.5.2.


Using this solution, we are able to find Pandas Week of the Month 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 find Pandas Week of the Month.

Dependent Libraries

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

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            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

                      If you do not have pandas library that is required to run this code, you can install it by clicking on the above link.

                      You can search for any dependent library on kandi like pandas.

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