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How to Skip Multiple Rows using Pandas

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by vsasikalabe dot icon Updated: Jan 30, 2023

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Several use cases exist for the Python Pandas module when it comes to skipping numerous rows. Here are a few illustrations: 

  • Cleaning up the data: If your data file has extra rows, such as a header or footer, you can skip those rows and only read the necessary information. 
  • Data subsetting: The iloc property or drop method can be used to pick or drop the rows you don't require if you only want to work with a particular subset of your data. 
  • Data exploration: To quickly examine the data when working with huge datasets without having to load the complete dataset into memory, it will help to skip a predetermined number of rows. 
  • Data pre-processing: In some cases, we have to pre-process the data before analyzing it; for example, we have to skip the rows with missing values or the rows that have non-valid entries. 
  • Data manipulation: You may want to remove or keep only certain rows based on certain criteria, such as only keeping rows where a certain column has a specific value. 


Here is how you can skip multiple rows 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.

PythondotLines of Code : 12dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
ro = list(range(0, lengthOfFile + 10, 10))
d = [j + 1 for i in range(1, len(ro), 2) for j in range(ro[i], ro[i + 1])]
# print(ro)
print(d)

pd.read_csv('../input/train.csv',chunksize=10, dtype=dtypes,skiprows=d)

lengthOfFile = 100
ro = list(range(0, lengthOfFile + 10, 10))
d = [j for i in range(1, len(ro), 2) for j in range(ro[i], ro[i + 1])]
print(d)

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 the 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 ' Skip multiple rows using 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 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 Skip multiple rows using 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 Skip multiple rows using pandas.

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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