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
Create HTML profiling reports from pandas DataFrame objects

Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great

10k Jan 01, 2023
A python package for animating plots build on matplotlib.

animatplot A python package for making interactive as well as animated plots with matplotlib. Requires Python = 3.5 Matplotlib = 2.2 (because slider

Tyler Makaro 394 Dec 18, 2022
Sentiment Analysis application created with Python and Dash, hosted at socialsentiment.net

Social Sentiment Dash Application Live-streaming sentiment analysis application created with Python and Dash, hosted at SocialSentiment.net. Dash Tuto

Harrison 456 Dec 25, 2022
A small timeseries transformation API built on Flask and Pandas

#Mcflyin ###A timeseries transformation API built on Pandas and Flask This is a small demo of an API to do timeseries transformations built on Flask a

Rob Story 84 Mar 25, 2022
Analysis and plotting for motor/prop/ESC characterization, thrust vs RPM and torque vs thrust

esc_test This is a Python package used to plot and analyze data collected for the purpose of characterizing a particular propeller, motor, and ESC con

Alex Spitzer 1 Dec 28, 2021
nvitop, an interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management

An interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management.

Xuehai Pan 1.3k Jan 02, 2023
Geospatial Data Visualization using PyGMT

Example script to visualize topographic data, earthquake data, and tomographic data on a map

Utpal Kumar 2 Jul 30, 2022
Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.

Make Complex Heatmaps Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns. H

Zuguang Gu 973 Jan 09, 2023
Python script for writing text on github contribution chart.

Github Contribution Drawer Python script for writing text on github contribution chart. Requirements Python 3.X Getting Started Create repository Put

Steven 0 May 27, 2022
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

Biomedical Visual Analytics Unit LUMC - TU Delft 29 Jul 05, 2022
Realtime Viewer Mandelbrot set with Python and Taichi (cpu, opengl, cuda, vulkan, metal)

Mandelbrot-set-Realtime-Viewer- Realtime Viewer Mandelbrot set with Python and Taichi (cpu, opengl, cuda, vulkan, metal) Control: "WASD" - movement, "

22 Oct 31, 2022
Flame Graphs visualize profiled code

Flame Graphs visualize profiled code

Brendan Gregg 14.1k Jan 03, 2023
A napari plugin for visualising and interacting with electron cryotomograms.

napari-tomoslice A napari plugin for visualising and interacting with electron cryotomograms. Installation You can install napari-tomoslice via pip: p

3 Jan 03, 2023
The interactive graphing library for Python (includes Plotly Express) :sparkles:

plotly.py Latest Release User forum PyPI Downloads License Data Science Workspaces Our recommended IDE for Plotly’s Python graphing library is Dash En

Plotly 12.7k Jan 05, 2023
Visualizing weather changes across the world using third party APIs and Python.

WEATHER FORECASTING ACROSS THE WORLD Overview Python scripts were created to visualize the weather for over 500 cities across the world at varying di

G Johnson 0 Jun 12, 2021
China and India Population and GDP Visualization

China and India Population and GDP Visualization Historical Population Comparison between India and China This graph shows the population data of Indi

Nicolas De Mello 10 Oct 27, 2021
Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects

carcassonne_tools Graphical display tools, to help students debug their class implementations in the Carcassonne family of projects NOTE NOTE NOTE The

1 Nov 08, 2021
Data visualization using matplotlib

Data visualization using matplotlib project instructions Top 5 Most Common Coffee Origins In this visualization I used data from Ankur Chavda on Kaggl

13 Oct 27, 2021
Info for The Great DataTas plot-a-thon

The Great DataTas plot-a-thon Datatas is organising a Data Visualisation competition: The Great DataTas plot-a-thon We will be using Tidy Tuesday data

2 Nov 21, 2021
A custom qq-plot for two sample data comparision

QQ-Plot 2 Sample Just a gist to include the custom code to draw a qq-plot in python when dealing with a "two sample problem". This means when u try to

1 Dec 20, 2021