Official Matplotlib cheat sheets (by matplotlib)


Basic cheatsheets repo stats
16 days ago

matplotlib/cheatsheets is an open source project licensed under BSD 2-clause "Simplified" License which is an OSI approved license.

Cheatsheets Alternatives

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NOTE: The number of mentions on this list indicates mentions on common posts. Hence, a higher number means a better cheatsheets alternative or higher similarity.


Posts where cheatsheets has been mentioned. We have used some of these posts to build our list of alternatives and similar projects - the last one was on 2021-05-10.
  • Data science and visualization with | 2021-05-10
    Here, we'll demonstrate how to do option 3, using Python and Matplotlib.
  • Data analysis of endangered languages with pandas | 2021-05-07
    On the occasion of the International Mother Language Day (21st February), I did and exploratory analysis of the World Language Family Map dataset with two popular Python libraries: pandas and matplotlib. In this post, I'll show you how to analyse and visualise data, and what it reveals about the world's languages.
  • How should I prepare for my Data Science technical interview at Spotify? (sql and Python)
  • looking for a good beginner level project to learn python with
  • Live Graph Plotting with Python | 2021-05-05
    Matplotlib is probably something you can use. Then write a loop that fetches new data and updates the plot.
  • How do I see my python code on the front-end?
    matplotlib is the most popular Python library for plotting. To log the data you need to save it to a file or use a database. Python's csv module would let you write it to a text file in the comma-separated value (CSV) format, and read it back in. This has the advantage of being human readable as well, so you could edit it outside of your program using a text editor or a spreadsheet program. If you want to store it in a database, using the sqlite module is probably the easiest way, but you'll need to learn some SQL to write to and read from the database.
  • [OC] ImolaGP position changes throughout the race | 2021-04-26
    Python with matplotlib to create the graph, and I get my data from ergast. The ergast API is clean, but formatting is abit weird for my use case so each chart takes a minute or 2 due to the amount of requests made.
  • [OC] Teammate vs Teammate laptime comparison | 2021-04-25
    I used python3, queried the ergast API for lap data, and created the graph using matplotlib in python.
  • How do I create a chart like the one on the link? Which library can I use?
    You can do this with Jupyter plus Matplotlib (which works with Jupyter).
  • Looking for a program to help with a work idea I have | 2021-04-18
    First thing that comes to mind is the Python module Matplotlib, specifically the 3D scatterplot function. I'm not sure this will do exactly what you want, but I guess it's a start, although it does come with the requirement of knowing Python.
  • Exploring data with Jupyter Notebook, Pandas and CrateDB | 2021-04-15
    In this post, I'll play a little bit with the NYC taxi dataset using Pandas and Matplotlib. This will be a simple example, but you can take it from here and explore further what you can do with these tools.
  • First Deep Learning Model : Dense Layer | 2021-04-14
    We'll use Matplotlib to visualize this .
  • Looking for an online site that generates code for LaTeX graphs up to the complexity of pareto chart | 2021-04-14
    You can make pretty much any plot you want in Python using the matplotlib and seaborn packages (for color and styling) with a much higher-degree of control than you'll get in either LaTeX or Excel.
  • Curso de programación en Python organizado por estudiantes :) | 2021-04-13
  • Upcoming epispot and epispot nightly features | 2021-04-12
    Epispot Nightly might get some new graphs, and will switch from matplotlib to plotly, with a much better interface. However, it's not final, so don't get too hooked up on this, but we for sure will be getting new graphs in epispot v3.0.