Pretty Confusion Matrix

Overview

Pretty Confusion Matrix

Why pretty confusion matrix?

  • We can make confusion matrix by using matplotlib.
  • However it is not so pretty. I want to make confusion matrix prettier.

How to Install?

pip install prettycm

Full Code Example

from prettycm import confusion_matrix
from prettycm import palette

pset = palette(size=5, color="blue")
cm = confusion_matrix([[400,0,0,0],[0,156,8,14],[0,18,131,30],[0,60,28,75]])
cm.set_classname(["Acute", "Non-resolving","Normal","Inactive"])
cm.set_title("Retinal Specialist2")
pset.draw(cm, "place_to_save.png")

Result of generated confusion matrix

How to Use? Explain more detail

  1. import package from prettycm
from prettycm import confusion_matrix
from prettycm import palette
  1. build confusion matrix object
cm = confusion_matrix([[10,20],[30,3]])
cm.set_classname(["Lion", "Tiger"]) # You can set the class name.
cm.set_title("Lion or Tiger?") # You can set the title.
  • the input of the confusion_matrix must be two-dimensional array
  • Python list or numpy array are both allowed
  • You can set the name of the class and title.
  1. define palette object
pset = palette(size=5, color="blue")
  • size = the quality and size of output confusion matrix image
  • color = the color of confusion matrix. (Now only blue is supported)
  1. draw confusion matrix and save
pset.draw(confusion_matrix=cm, path="place_to_save.png")
  • confusion_matrix: put confusion matrix object
  • path: path to save

Done

  1. Special function
print(cm)
  • When you print confusion_matrix object, than python will print the confusion matrix like below

Update Plans

1. More color presets

  • Blue
  • Red
  • Green
  • Purple

2. Confusion matrix concat

  • Concat two confusion matrix

3. Pallet Function

  • Text Size control
  • Cleaning the code

Contribute to project

  1. Pull requests after you modify code.
  2. Make more color presets.
Owner
Junseo Ko
🙃 AI Engineer 😊
Junseo Ko
Extract data from ThousandEyes REST API and visualize it on your customized Grafana Dashboard.

ThousandEyes Grafana Dashboard Extract data from the ThousandEyes REST API and visualize it on your customized Grafana Dashboard. Deploy Grafana, Infl

Flo Pachinger 16 Nov 26, 2022
A package for plotting maps in R with ggplot2

Attention! Google has recently changed its API requirements, and ggmap users are now required to register with Google. From a user’s perspective, ther

David Kahle 719 Jan 04, 2023
Small project to recursively calculate and plot each successive order of the Hilbert Curve

hilbert-curve Small project to recursively calculate and plot each successive order of the Hilbert Curve. After watching 3Blue1Brown's video on Hilber

Stefan Mejlgaard 2 Nov 15, 2021
Data parsing and validation using Python type hints

pydantic Data validation and settings management using Python type hinting. Fast and extensible, pydantic plays nicely with your linters/IDE/brain. De

Samuel Colvin 12.1k Jan 06, 2023
JupyterHub extension for ContainDS Dashboards

ContainDS Dashboards for JupyterHub A Dashboard publishing solution for Data Science teams to share results with decision makers. Run a private on-pre

Ideonate 179 Nov 29, 2022
Dimensionality reduction in very large datasets using Siamese Networks

ivis Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets. Ivis

beringresearch 284 Jan 01, 2023
Create animated and pretty Pandas Dataframe or Pandas Series

Rich DataFrame Create animated and pretty Pandas Dataframe or Pandas Series, as shown below: Installation pip install rich-dataframe Usage Minimal exa

Khuyen Tran 92 Dec 26, 2022
A minimalistic wrapper around PyOpenGL to save development time

glpy glpy is pyOpenGl wrapper which lets you work with pyOpenGl easily.It is not meant to be a replacement for pyOpenGl but runs on top of pyOpenGl to

Abhinav 9 Apr 02, 2022
A Graph Learning library for Humans

A Graph Learning library for Humans These novel algorithms include but are not limited to: A graph construction and graph searching class can be found

Richard Tjörnhammar 1 Feb 08, 2022
Homework 2: Matplotlib and Data Visualization

Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python

Sophia Huang 12 Oct 20, 2022
This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played till Jan 2022.

Scraping-test-matches-data This is a Web scraping project using BeautifulSoup and Python to scrape basic information of all the Test matches played ti

Souradeep Banerjee 4 Oct 10, 2022
Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from time series data.

ts2vg: Time series to visibility graphs The Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from t

Carlos Bergillos 26 Dec 17, 2022
Data science project for exploratory analysis on the kcse grades dataset (Kamilimu Data Science Track)

Kcse-Data-Analysis Data science project for exploratory analysis on the kcse grades dataset (Kamilimu Data Science Track) Findings The performance of

MUGO BRIAN 1 Feb 23, 2022
100 Days of Code The Complete Python Pro Bootcamp for 2022

100-Day-With-Python 100 Days of Code - The Complete Python Pro Bootcamp for 2022. In this course, I spend with python language over 100 days, and I up

Rajdip Das 8 Jun 22, 2022
A customized interface for single cell track visualisation based on pcnaDeep and napari.

pcnaDeep-napari A customized interface for single cell track visualisation based on pcnaDeep and napari. 👀 Under construction You can get test image

ChanLab 2 Nov 07, 2021
This is a small repository for me to implement my simply Data Visualisation skills through Python.

Data Visualisations This is a small repository for me to implement my simply Data Visualisation skills through Python. Steam Population Chart from 10/

9 Dec 31, 2021
2D maze path solver visualizer implemented with python

2D maze path solver visualizer implemented with python

SS 14 Dec 21, 2022
Visualize large time-series data in plotly

plotly_resampler enables visualizing large sequential data by adding resampling functionality to Plotly figures. In this Plotly-Resampler demo over 11

PreDiCT.IDLab 604 Dec 28, 2022
A simple interpreted language for creating basic mathematical graphs.

graphr Introduction graphr is a small language written to create basic mathematical graphs. It is an interpreted language written in python and essent

2 Dec 26, 2021
The official colors of the FAU as matplotlib/seaborn colormaps

FAU - Colors The official colors of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) as matplotlib / seaborn colormaps. We support the old colo

Machine Learning and Data Analytics Lab FAU 9 Sep 05, 2022