Mastering Matplotlib: A Step-by-Step Tutorial for Beginners

This page summarizes the projects mentioned and recommended in the original post on dev.to

Judoscale - Save 47% on cloud hosting with autoscaling that just works
Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
judoscale.com
featured
CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
coderabbit.ai
featured
  1. Altair

    Declarative visualization library for Python

    Altair - Declarative statistical visualization library for Python.

  2. Judoscale

    Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

    Judoscale logo
  3. bokeh

    Interactive Data Visualization in the browser, from Python

    Bokeh - Interactive Web Plotting for Python.

  4. bqplot

    Discontinued Plotting library for IPython/Jupyter notebooks [Moved to: https://github.com/bqplot/bqplot] (by bloomberg)

    bqplot - Interactive Plotting Library for the Jupyter Notebook.

  5. Cartopy

    Cartopy - a cartographic python library with matplotlib support

    Cartopy - A cartographic Python library with matplotlib support.

  6. PyQtGraph

    Fast data visualization and GUI tools for scientific / engineering applications

    PyQtGraph - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.

  7. diagrams

    :art: Diagram as Code for prototyping cloud system architectures

    diagrams - Diagram as Code.

  8. cheatsheets

    Official Matplotlib cheat sheets (by matplotlib)

    Matplotlib - A Python 2D plotting library.

  9. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo
  10. plotnine

    A Grammar of Graphics for Python

    plotnine - A grammar of graphics for Python based on ggplot2.

  11. seaborn

    Statistical data visualization in Python

    Seaborn - Statistical data visualization using Matplotlib.

  12. VisPy

    Main repository for Vispy

    VisPy - High-performance scientific visualization based on OpenGL.

  13. Matplotlib

    Matplotlib notes and examples (by mritunjaysri28)

    ![Matplotlib_25_1](https://github.com/mritunjaysri28/Matplotlib/assets/25318797/06a2a78f-acb7-4a3e-b3c2-c16d360af70f) ## Scatter Graph * It similar to a line graph * Used to show how one variable is related to another * It consists of data points, if it is linear then it is highly correlated * It only marks the data point. * Syntax: plt.scatter(x,y) ### Parameter of Scatter Graph * c: Sets color of markers. * s: Sets the size of markers. * marker: Select a marker. e.g.: circle, triangle, etc * edgecolor: Sets the color of lines on the edges of markers. ```python x=[1,4,6,8,2] y=[10,10,1,5,0] fig = plt.figure(figsize=(8,4)) ax = fig.add_subplot() ax.scatter(x , y , c='red' , s=500 , marker='*' , edgecolor='blue' , label='scatter') ax.set_title('Scatter') ax.set_xlabel('X-Axis') ax.set_ylabel('Y-Axis') plt.legend()

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • Help shape the future of VisPy 2.0 – ideas, feedback, and contributors welcome

    1 project | news.ycombinator.com | 5 Apr 2025
  • Scientific Visualization: Python and Matplotlib, by Nicolas Rougier

    7 projects | news.ycombinator.com | 17 Sep 2024
  • Как сделать визуализацию?

    2 projects | /r/PikabuStatistics | 30 Dec 2022
  • Как сделать визуализацию?

    2 projects | /r/StatisticsDrugsRu | 30 Dec 2022
  • Seeking library recommendation for 3D visualization of crystal structure

    5 projects | /r/Python | 6 Nov 2022

Did you know that Python is
the 2nd most popular programming language
based on number of references?