Shulou(Shulou.com)06/03 Report--

What is the Matplotlib quick look-up table? in view of this problem, this article introduces the corresponding analysis and solutions in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible way.

As we all know, Matplotlib is the basic library of Python visualization, which can draw two-dimensional, three-dimensional, dynamic and interactive charts, and can be used as an image processing tool to make large visual pictures of artistic style.

Matplotlib is also the underlying dependency of many visualization libraries, such as Seaborn, Cartopy, animatplot, ggplot, Geoplot, etc., providing chart suites and basic functions for them, so Matplotlib has almost become a must-learn tool library for Python developers.

From my experience with Matplotlib, although the code is not complex, there are too many functions and parameters to remember or have to check over and over again.

Recently, I inadvertently found the Matplotlib quick look-up table on Github. I cried with joy and felt like a treasure.

This quick look-up table is officially produced by Matplotlib and covers almost most of the chart style, color matching style and layout configuration of Matplotlib. You can look at it anytime and anywhere in the process of using Matplotlib.

Although the quick check list is in English, the instrumental vocabulary is easy to understand. I believe it is not a big problem for my friends who have studied Python to use it.

Github homepage address: https:// github.com/matplotlib/c heatsheets

If Github is slow, I can download it and you can take a look at it.

By the way, translate part of the catalogue of this quick check list for your reference:

Getting started with Quick start-

Anatomy of a figure- chart structure

Subplots layout- subgraph layout

Basic plots- basic Chart

Advanced plots- Advanced Chart

Scales- scale

Projections- projection

Lines- lines

Markers- markers (dots)

Colors- Color

Colormaps- color map

Tick locators- scale positioning

Tick formatters- scale formatting

Ornaments- decoration

Event handling- event handling

Animotion- dynamic graph

Styles- style

Keyboard shortcuts- shortcut key

Axes adjustments- axis adjustment

Text alignments- text alignment

Text parameters- text parameter

Legend- legend

There are a lot of contents that you can look for in the quick check list, which are not listed here.

In addition to this quick check list, it also provides code samples for beginners and beginners, which can be used.

There are also common tips.

And comes with nearly a hundred drawing scripts, including most of the contents of the quick look-up table.

Take the basic chart as an example, the script is as follows:

Speaking of which, I have to praise this treasure cheat sheet, which is simply the sunflower bibliography of Matplotlib.

The answer to the question about the Matplotlib quick look-up table is shared here. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel to learn more about it.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.