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Understanding pandas DataFrame join, pd.join() function
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DATA SCIENCE, EDITORIAL, PROGRAMMING

Deep Dive Into Pandas DataFrame Join — pd.join()

15 min readApr 30, 2021

Author(s): Pratik Shukla, Roberto Iriondo

The join( ) function of the pandas' library is used to join columns of another DataFrame. It can efficiently join columns with another DataFrame on index or on a key column. We can also join multiple DataFrame objects by passing a list. Let’s start by understanding its’ syntax and parameters. The companion materials for this tutorial can be found under our resources section.

Table of Content:

  1. Syntax
  2. Create DataFrames
  3. Understanding lsuffix and rsuffix parameters
  4. Joining DataFrames by Index Values
  5. Set index to join DataFrames
  6. Understanding the on parameter
  7. Joining multiple DataFrames

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Towards AI
Towards AI

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Towards AI Editorial Team
Towards AI Editorial Team

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