PyWaffle | 🧇 Make Waffle Charts in Python | Data Visualization library
kandi X-RAY | PyWaffle Summary
kandi X-RAY | PyWaffle Summary
PyWaffle is an open source, MIT-licensed Python package for plotting waffle charts. It provides a Figure constructor class Waffle, which could be passed to matplotlib.pyplot.figure and generates a matplotlib Figure object.
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Top functions reviewed by kandi - BETA
- Make a Waffle plot
- Make a single plot
- Validate parameter
- Generate blockarrays
- Resize an array with given length
- Process keyword arguments
- Wrapper for division function
- Flips the lines of a matrix
- Splits an iterable into chunks
- Round x to a given base
- Get font file mapping
- Creates a legend class
PyWaffle Key Features
PyWaffle Examples and Code Snippets
Community Discussions
Trending Discussions on PyWaffle
QUESTION
I'd like to create a waffle chart in grey shapes for the following dataFrame
...ANSWER
Answered 2021-Mar-02 at 12:02When using icons as the elements in a waffle chart, internally they are represented as text objects with a special font.
Using patheffects
, hatching can be added, both to the icons in the plot as in the legend.
As you didn't provide toy data, nor an image, I made up some data to show the ideas. As my legend icons are smaller than the icons in the plot, I used a denser hatching for the legend.
QUESTION
I'm learning Python via Jupyter lab and I'm facing a problem with Waffle chart.
I have the following dictionary, which I want to display as a Waffle chart:
...ANSWER
Answered 2020-Jan-10 at 12:50Actually, your code is correct and Waffle properly shows your data (zoom inside your plot to see the squares...)
However, to achieve the desired output, you have to play with the parameters "rows" and "columns", which specify the dimensions of your waffle chart.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install PyWaffle
You can use PyWaffle like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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