Merge, Sort and Filter Data in Python Pandas

Merge, Sort and Filter Data in Python Pandas

Merge, Sort and Filter Data in Python Pandas Taught in English Instructor: David Dalsveen 4,749 already enrolled Included with • Learn more Guided Project Learn, practice, and apply job-ready skills with expert guidance Intermediate level Recommended experience Close Recommended experience Intermediate level Learners should be familiar with some Python, including variables and input/output, and the

Description

Merge, Sort and Filter Data in Python Pandas

Python Pandas is a powerful library for data manipulation and analysis. In this article, we will discuss how to merge, sort, and filter data using the Pandas library.

Merging Data

Merging data is a common operation when working with datasets from various sources. Pandas provides the merge() function to merge DataFrames based on a common column. For example, suppose we have two DataFrames df1 and df2 with a common column ‘key’. We can merge these DataFrames using the following code snippet:

“`

merged_df = pd.merge(df1, df2, on=’key’)

“`

Sorting Data

Sorting data is essential for analyzing the data in a meaningful way. Pandas provides the sort_values

Merge, Sort and Filter Data in Python Pandas

Taught in English

David Dalsveen

Instructor: David Dalsveen

4,749 already enrolled

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

1 hour
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.5

(114 reviews)

What you’ll learn

  • Use a Filter to remove outliers in the data.

  • Combine the data using Pandas Merge.

  • Sort the data by rainfall and temperature.

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