Skip to content
#

pandas-tricks-for-data-manipulation

Here are 38 public repositories matching this topic...

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

  • Updated Dec 9, 2022
  • Jupyter Notebook

Instead of making comparisons between two Excel documents reading line-by-line, this program utilizes data manipulation techniques to make correlations between Excel documents and creates a new Excel document based on these correlations.

  • Updated Jun 21, 2023
  • Python

Improve this page

Add a description, image, and links to the pandas-tricks-for-data-manipulation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the pandas-tricks-for-data-manipulation topic, visit your repo's landing page and select "manage topics."

Learn more