Visually Analyze and Clean Python Data

April 30, 2025
PyCharm 2025.1 introduces Data Wrangler which simplifies how Python users clean and transform their data for analysis.

PyCharm by JetBrains is a comprehensive Integrated Development Environment (IDE) specifically designed for Python programming. It offers a range of features to enhance productivity, including code analysis for error detection, a visual debugger for troubleshooting, integrated unit testing for code verification, and support for version control systems to manage code changes. PyCharm also caters to web development using frameworks like Django, making it a powerful tool for both experienced developers and beginners in the Python world.

The PyCharm 2025.1 release introduces a new Data Wrangler, giving data professionals an efficient, code-light interface for managing dataframes. This new feature enables users to inspect data, explore column-level statistics, and visualize patterns directly within the IDE. Instead of writing tedious, repetitive code, users can now apply transformations like filtering, cleaning, and managing outliers through an interactive UI that automatically generates the corresponding Python code. Data Wrangler also supports tracking changes, exporting datasets in accessible formats, and inserting transformations as new cells in notebooks, making it especially useful for exploratory analysis and reproducibility in data science processes.

To see a full list of what's new in version 2025.1, see our release notes.

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