Streamlit Matplotlib-Seaborn 한글폰트 적용

$ virtualenv venv
created virtual environment CPython3.9.13.final.0-64 in 606ms
  creator CPython3Windows(dest=C:\Users\YONSAI\Desktop\streamlit-korean-fonts\venv, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=C:\Users\YONSAI\AppData\Local\pypa\virtualenv)
    added seed packages: pip==23.1.2, setuptools==67.6.1, wheel==0.40.0
  activators BashActivator,BatchActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator
$ source venv/Scripts/activate
(venv)
$ 

sudo apt update
sudo apt install -y python3 python3-pip
python3

$ sudo apt-get install apt-transport-https ca-certificates gnupg

$ echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | sudo tee -a /etc/apt/sources.list.d/google-cloud-sdk.list

$ curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -

$ sudo apt-get update && sudo apt-get install google-cloud-cli

$ exec -l $SHELL
$ gcloud version
Google Cloud SDK 419.0.0
alpha 2023.02.17
beta 2023.02.17
bq 2.0.85
bundled-python3-unix 3.9.16
core 2023.02.17
gcloud-crc32c 1.0.0
gsutil 5.20

$ gcloud init
Welcome! This command will take you through the configuration of gcloud.

Your current configuration has been set to: [default]

You can skip diagnostics next time by using the following flag:
  gcloud init --skip-diagnostics

Network diagnostic detects and fixes local network connection issues.
Checking network connection...done.                                                                      
Reachability Check passed.
Network diagnostic passed (1/1 checks passed).

You must log in to continue. Would you like to log in (Y/n)?  Y

Go to the following link in your browser:

    https://accounts.google.com/o/oauth2/auth?response_type=...

Enter authorization code: your_code
You are logged in as: [your_email@gmail.com].

Pick cloud project to use: 
 [1] Enter a project ID
 ...
 [2] Create a new project
Please enter numeric choice or text value (must exactly match list item):  

Your current project has been set to: [your_project_name].

...

Some things to try next:

* Run `gcloud --help` to see the Cloud Platform services you can interact with. And run `gcloud help COMMAND` to get help on any gcloud command.
* Run `gcloud topic --help` to learn about advanced features of the SDK like arg files and output formatting
* Run `gcloud cheat-sheet` to see a roster of go-to `gcloud` commands.

import numpy as np 
import pandas as pd 
import matplotlib 
import sklearn 
import scipy
import plotly
import streamlit as st

def main():
    st.write(np.__version__)
    st.write(pd.__version__)
    st.write(matplotlib.__version__)
    st.write(sklearn.__version__)
    st.write(scipy.__version__)
    st.write(plotly.__version__)

if __name__ == "__main__":
    main()

streamlit
numpy
scipy
pandas
matplotlib
plotly
scikit-learn

$ streamlit run app.py 

  You can now view your Streamlit app in your browser.

  Local URL: http://localhost:8501
  Network URL: http://192.168.0.49:8501

C:\Users\human>docker run -it ubuntu:18.04
Unable to find image 'ubuntu:18.04' locally
18.04: Pulling from library/ubuntu
72d9f18d70f3: Pull complete
Digest: sha256:a3765b4d74747b5e9bdd03205b3fbc4fa19a02781c185f97f24c8f4f84ed7bbf
Status: Downloaded newer image for ubuntu:18.04
root@7a7a49e2d83e:/# ls
bin  boot  dev  etc  home  lib  lib64  media  mnt  opt  proc  root  run  sbin  srv  sys  tmp  usr  var
root@7a7a49e2d83e:/#

$ docker ps -a
CONTAINER ID   IMAGE          COMMAND       CREATED        STATUS         PORTS     NAMES
7a7a49e2d83e   ubuntu:18.04   "/bin/bash"   18 hours ago   Up 5 minutes             practical_euler

docker exec -it 7a7a49e2d83e /bin/bash

docker stop 7a7a49e2d83e

docker start 7a7a49e2d83e

$ docker login -u your_id
Password:
Login Succeeded
Authenticating with existing credentials...
Login Succeeded

Logging in with your password grants your terminal complete access to your account.
For better security, log in with a limited-privilege personal access token. Learn more at https://docs.docker.com/go/access-tokens/

docker commit 7a7a49e2d83e your_id/mlearn:latest

$ docker images
REPOSITORY        TAG       IMAGE ID       CREATED          SIZE
your_id/mlearn    latest    b26bdf7b071e   29 minutes ago   63.1MB
ubuntu            18.04     5d2df19066ac   2 weeks ago      63.1MB
hello-world       latest    feb5d9fea6a5   16 months ago    13.3kB

docker push your_id/mlearn:latest

$ docker run -it -v C:\Users\human\Desktop\dockerhome:/home mlearn

root@5c950356cfc3:/# cd home/
root@5c950356cfc3:/home# mkdir temp

set root=C:\Users\human\Desktop\streamlit-predictions
call git add .
call git commit -m "updated from batch file"
call git push