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Matplotlib

1.5K
319
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10
Pandas

2K
1.3K
+ 1
23
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Pros of Matplotlib
Pros of Pandas
  • 10
    The standard Swiss Army Knife of plotting
  • 21
    Easy data frame management
  • 2
    Extensive file format compatibility

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Cons of Matplotlib
Cons of Pandas
  • 5
    Lots of code
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    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.

    What is Pandas?

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

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    What companies use Matplotlib?
    What companies use Pandas?
    See which teams inside your own company are using Matplotlib or Pandas.
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    What tools integrate with Matplotlib?
    What tools integrate with Pandas?

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    What are some alternatives to Matplotlib and Pandas?
    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.
    MATLAB
    Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
    Bokeh
    Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.
    R Language
    R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
    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.
    See all alternatives