cutecharts
is used to create ๐ Hand drawing style charts library for Python- Itโs totally different from the regular
matplotlib
andseaborn
library, it has a lookout of handmade charts and while hovering on the charts it shows us the values. - The hovering effect is not there in the matplotlib chart which is an advantage of cute charts.
- Creating charts in cute charts is a little bit longer compared to seaborn, but a still lesser number of codes than the standard matplotlib library.
- For now, this library support five different charts-
Bar
,Pie
,Radar
,Scatter
, andLine
.
Open command prompt and create new environment
conda create -n your_env_name python = (any_version_number)
Then activate the newly created environment
conda activate your_env_name
Clone the repository using git
git clone https://github.com/Prakashdeveloper03/CuteCharts.git
Change to the cloned directory
cd <directory_name>
Then install all requirement packages for the app
pip install -r requirements.txt
Then, Open the CuteCharts.ipynb
notebook
jupyter notebook CuteCharts.ipynb