gellany_plots

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 --file train.csv --distr distplot --hue Sex --column1 Age --column2 Sex --flask flask

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 --hue Sex --column1 Age --column2 Sex --flask flask

train.csv

• Serving Flask app "gellany_plots" (lazy loading)
• Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
• Debug mode: off
• Running on http://0.0.0.0:5000/ (Press CTRL+C to quit) /home/go/gellany_plots/gellany_plots.py:205: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail. fig,ax=plt.subplots(figsize=(6,6)) QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-root' 127.0.0.1 - - [16/Jun/2022 07:52:56] "GET / HTTP/1.1" 200 -


http://127.0.0.1:5000/ http://172.17.0.2:5000/

python3 gellany_plots.py --file train.csv --distr distplot --hue Sex --column1 Age --column2 Sex --flask flask

train.csv

• Serving Flask app "gellany_plots" (lazy loading)
• Environment: production WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
• Debug mode: off
• Running on http://0.0.0.0:5000/ (Press CTRL+C to quit) /home/go/gellany_plots/gellany_plots.py:205: UserWarning: Starting a Matplotlib GUI outside of the main thread will likely fail. fig,ax=plt.subplots(figsize=(6,6)) QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-root' /usr/local/lib/python3.9/dist-packages/seaborn/distributions.py:2619: FutureWarning: distplot is a deprecated function and will be removed in a future version. Please adapt your code to use either displot (a figure-level function with similar flexibility) or histplot (an axes-level function for histograms). warnings.warn(msg, FutureWarning) 127.0.0.1 - - [16/Jun/2022 08:17:25] "GET / HTTP/1.1" 200 -
  

http://127.0.0.1:5000/ http://172.17.0.2:5000/

python3 gellany_plots.py --file train.csv --distr boxplot --column1 Survived --column2 Age --hue Sex

docker deploy

#/home/go/ = your path your already download git folder in it

docker image build -t gellany_plots /home/go/gellany_plots --no-cache
docker run --publish 5000:5000 -it -d gellany_plots
docker ps
docker exec -it 83ea954d9b5a python3 gellany_plots.py --file train.csv --distr boxplot --column1 Survived --column2 Age --hue Sex --flask flask

http://0.0.0.0:5000/ http://172.17.0.2:5000/

docker stop f77d93571bcc
docker ps

docker pull direct

#/home/go/ = your path your already download git folder in it
docker pull gellany/gellany_plots
docker run --publish 5000:5000 -it -d gellany/gellany_plots
docker ps
docker exec -it 83ea954d9b5a python3 gellany_plots.py --file train.csv --distr boxplot --column1 Survived --column2 Age --hue Sex --flask flask
docker stop f77d93571bcc

http://0.0.0.0:8000/ http://0.0.0.0:8000/polls

docker push

docker login --username username
docker image list
docker tag a2ac10640f5b gellany/gellany_plots
docker push gellany/gellany_plots:latest

docker image list removed

docker images rm

docker image remove all

docker image list|awk '{print $3}'|xargs -I z docker rmi --force z
docker image list

docker system Remove unused data

docker system prune --force

docker check and delete volume

docker system df
docker system prune