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ggplot2

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57
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Matplotlib

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Matplotlib vs ggplot2: What are the differences?

Matplotlib: A plotting library for the Python programming language. It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits; ggplot2: A data visualization package for the statistical programming language R. It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

Matplotlib and ggplot2 can be categorized as "Charting Libraries" tools.

ggplot2 is an open source tool with 4.04K GitHub stars and 1.51K GitHub forks. Here's a link to ggplot2's open source repository on GitHub.

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Pros of ggplot2
Pros of Matplotlib
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    • 9
      The standard Swiss Army Knife of plotting

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    Cons of ggplot2
    Cons of Matplotlib
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      • 5
        Lots of code

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      - No public GitHub repository available -

      What is ggplot2?

      It is a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers.

      What is Matplotlib?

      It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.

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      What tools integrate with ggplot2?
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      What are some alternatives to ggplot2 and Matplotlib?
      Tableau
      Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
      Base
      The Intelligent Sales Productivity Platform - leveraging Big Data, mobility and real-time computing to give sales teams the tools they need to be successful.
      ApexCharts
      A modern JavaScript charting library to build interactive charts and visualizations with simple API.
      Plotly.js
      It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
      D3.js
      It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
      See all alternatives