matplotlib-styles
There are 26 repositories under matplotlib-styles topic.
garrettj403/SciencePlots
Matplotlib styles for scientific plotting
dhaitz/matplotlib-stylesheets
Stylesheets for Matplotlib
nschloe/dufte
:chart_with_upwards_trend: Minimalistic Matplotlib style
erwanp/publib
Produce publication-level quality images on top of Matplotlib
cbhua/matplotlib-prefab
A collection of Matplotlib plot templates.
kimichenn/nord-deep-mpl-stylesheet
Nord Deep stylesheets for Matplotlib
alysonsz/Olympics-database-with-charts
Project during College utilizing Python with database and matplotlib -> made on November 21, 2021
dhaitz/matplotlib-style-voting
Matplotlib Style Voting
ninivert/matplotlib_tufte
Styles from Tufte's "Visual Display Of Quantitative Information" for matplotlib
stonerlab/stonerplots
Make plotting physics easier with stylesheets and context manager helpers
klieret/simple-science-style
A simple style for matplotlib.
levintech/data-science-courses
Courses on Data Science Fields
santoshkumarradha/pycolorpalette
Aesthetic color schemes for matplotlib and pther python plotting tools
emprice/nordplotlib
Nord meets Matplotlib
jspieler/aesthema
Modern & visually appealing colormaps for Matplotlib
tom-draper/matplotlib-colors
A collection of curated color profiles for matplotlib.
Apidwalin/matplotblog
Matplotlib
mohd-faizy/Learn_Matplotlib
Matplotlib is a powerful plotting library in Python that allows you to create static, animated, and interactive visualizations. It’s widely used for representing data graphically, making it easier to analyze and understand.
mritunjaysri28/Matplotlib
Matplotlib notes and examples
dancanyego/Data-Visualization-on-Exchange-Rates
This repository contains visualizations of the Euro-USD exchange rates during significant historical periods, highlighting the impact of different U.S. presidential administrations and the 2007-2008 financial crisis.
STATWORX/statworx-theme
A color theme for matplotlib using the official statworx colors.
cynddl/sacredfig
standard styles for scientific figures in matplotlib
harmanveer-2546/Statistics-for-Machine-Learning
Statistical tools help you clean and organize your data. You can identify outliers, manage missing values, and ensure your data is in a format that the ML algorithms can understand.
MairManson/PyBer_Analysis
Use Python Panda to create a summary dataframe of ride-sharing data for three different city types. Then, using Pandas and Matplotlib, create a multiple-line graph that shows the total weekly fares for each city type.
Parashar7/suicide_analysis
Data analysis through visualization to find different causes for suicide.