Radar chart for matplotlib
Project description
matplotlib-radar
Feature-rich generation of radar chart based on matplotlib.
Quick start
Install package with pip install matplotlib-radar or uv add matplotlib-radar.
Example code to generate radar chart:
from matplotlib_radar import radar_chart
import numpy as np
radar_chart(
label=["A", "B", "C", "D", "E"],
data={"Sample 1": np.random.rand(5), "Sample 2": np.random.rand(5), "Sample 3": np.random.rand(5)},
rotation=5,
title="Radar chart with multiple samples",
)
For more plotting examples, check out the vignette notebook in the documentation.
Development
# Clone repo
git clone https://github.com/harryhaller001/matplotlib-radar
cd matplotlib-radar
# Setup virtualenv
uv venv
# Install dependencies and setup precommit hook
make install
# Run all checks
make format
make testing
make typing
make build
License
MIT license
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
matplotlib_radar-0.2.0.tar.gz
(145.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file matplotlib_radar-0.2.0.tar.gz.
File metadata
- Download URL: matplotlib_radar-0.2.0.tar.gz
- Upload date:
- Size: 145.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.32.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6e9035142418636595496a1f10f3176bee0f49c378be4de0ba44f6498c6daa2d
|
|
| MD5 |
5871df66e20b8c26c2349d2d55715a69
|
|
| BLAKE2b-256 |
34925e73644d6cfd8142bd11f0a669d1466473cff5be44b4f55c7aeeb0c0fcf5
|
File details
Details for the file matplotlib_radar-0.2.0-py3-none-any.whl.
File metadata
- Download URL: matplotlib_radar-0.2.0-py3-none-any.whl
- Upload date:
- Size: 5.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.32.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
017f5e05c8e6a53bf40104dddea998517bb8737283b281c8af94d1fc56d924f3
|
|
| MD5 |
1443097fa4aea8c40353eb12a919d18a
|
|
| BLAKE2b-256 |
2f57d5ec651456cd022b2ce6047ed7f689c0f899ed794bd3a98d54d675fa56a7
|