automate you csv files to presenation as model plot as easy way in command line
git clone https://github.com/gellanyhassan0/gellany_plots.git
cd gellany_plots
pip install -r requirements.txt
python3 gellany_plots.py
python3 gellany_plots.py --file train.csv
python3 gellany_plots.py --file train.csv --distr multi
python3 gellany_plots.py --file train.csv --distr single
python3 gellany_plots.py --file train.csv --distr double
python3 gellany_plots.py --file train.csv --distr single --transformed Fare
python3 gellany_plots.py --file train.csv --distr double --column1 'Age' --column2 'Sex'
python3 gellany_plots.py --file train.csv --distr pie_binary --column1 Survived
python3 gellany_plots.py --file train.csv --distr countplot --column1 Pclass
python3 gellany_plots.py --file train.csv --distr boxplot --column1 Pclass
python3 gellany_plots.py --file train.csv --distr distplot --column1 Pclass
python3 gellany_plots.py --file train.csv --distr count_multi --column1 Survived
python3 gellany_plots.py --file train.csv --distr boxplot --column1 Survived --column2 Age --hue Sex
python3 gellany_plots.py --file train.csv --distr corr
python3 gellany_plots.py --file train.csv --distr kdeplot --column1 Pclass
python3 gellany_plots.py --file train.csv --distr boxplot --hue Survived --column1 Age --column2 Sex
python3 gellany_plots.py -h
python3 gellany_plots.py -h
usage: gellany_plots.py [-h] [--file FILE] [--distribution DISTRIBUTION] [--transformed TRANSFORMED] [--column1 COLUMN1]
[--column2 COLUMN2] [--hue HUE]
optional arguments:
-h, --help show this help message and exit
--file FILE
--distribution DISTRIBUTION
--transformed TRANSFORMED
--column1 COLUMN1
--column2 COLUMN2
--hue HUE
python3 gellany_plots.py --file train.csv --distr boxplot --column1 Survived --column2 Age --hue Sex
