๋ถ„๋ฅ˜ ์ „์ฒด๋ณด๊ธฐ 215

AWS EC2๋กœ ์—ฌ๋Ÿฌ ๊ฐœ ์›นํŽ˜์ด์ง€์—์„œ ์‹คํ–‰ํ•˜๊ธฐ, Potty(ํ‘ธํ‹ฐ) ์šฉ์–ด ์ •๋ฆฌ

์ผ๋ฐ˜ ์›นํŽ˜์ด์ง€ ์ƒ์„ฑ์€https://hope91.tistory.com/20?category=1197140 [AWS] AWS(์•„๋งˆ์กด ์„œ๋ฒ„)์— ์•ฑ ๋ฐฐํฌํ•˜๊ธฐ(1) / EC2 ์ธ์Šคํ„ด์Šค ์ƒ์„ฑํ•˜๋Š” ๋ฐฉ๋ฒ•AWS์— ์•ฑ์„ ๋ฐฐํฌํ•ด๋ณด์žAWS์— ์•ฑ์„ ๋ฐฐํฌํ•˜๋ ค๋ฉด ๋ช‡๊ฐ€์ง€ ๋‹จ๊ณ„๋ฅผ ๊ฑฐ์ณ์•ผ ํ•œ๋‹ค.1. AWS EC2 ์ธ์Šคํ„ด์Šค ์ƒ์„ฑํ•˜๊ธฐ2. windows์—์„œ AWS EC2 ๋ฆฌ๋ˆ…์Šค์— ์ ‘์†ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•putty ์„ค์ •aws ์„ค์ •3. EC2 ๋ฆฌ๋ˆ…์Šค์— ์•„๋‚˜์ฝ˜๋‹ค ์„คhope91.tistory.comํฌ์ŠคํŒ… (1)~(5)๋ฅผ ์ฐธ๊ณ ํ•˜์ž  ๋˜๋Š”https://sorktjrrb.tistory.com/47 AWS EC2 SERVER : (1) EC2 ์ธ์Šคํ„ด์Šค ์ƒ์„ฑํ•˜๊ธฐ(1) AWS EC2 ์ธ์Šคํ„ด์Šค ์ƒ์„ฑํ•˜๊ธฐ # ์‚ฌ์ „์ค€๋น„๋กœ AWS ๊ฐ€์ž…ํ›„ ๋ฉ”์ธ ํ™”๋ฉด์—์„œ region ์„ค์ •!#..

DevOps/AWS 2024.05.03

Streamlit) ๋Œ€์‹œ๋ณด๋“œ์˜ ๊ทธ๋ž˜ํ”„์— ํ•œ๊ธ€ ๋‚˜์˜ค๊ฒŒ ํ•˜๋Š” ์ฝ”๋“œ

https://luvris2.tistory.com/119 AWS EC2 - Streamlit ๋Œ€์‹œ๋ณด๋“œ์— ํ•œ๊ธ€ ์ถœ๋ ฅํ•˜๊ธฐ (ํ•œ๊ธ€ ๊นจ์ง)์ด ๊ธ€์€ ๋ฆฌ๋ˆ…์Šค ํ•œ๊ธ€ ํฐํŠธ๊ฐ€ ์„ค์น˜๋˜์–ด์žˆ๋‹ค๋Š” ๊ฐ€์ •ํ•˜์— ์ง„ํ–‰ํ•ฉ๋‹ˆ๋‹ค. ์•„๋ž˜์˜ ํฌ์ŠคํŒ…์œผ๋กœ ์ด๋™ํ•˜๋ฉด ํ•œ๊ธ€ ํฐํŠธ๋ฅผ ์„ค์น˜ํ•˜๋Š” ์ ˆ์ฐจ๊ฐ€ ๊ธฐ์žฌ๋˜์–ด์žˆ์Šต๋‹ˆ๋‹ค. https://luvris2.tistory.com/118 ๋ฆฌ๋ˆ…์Šค - ํ•œ๊ธ€ ํฐํŠธ ์„คluvris2.tistory.com์„ค์น˜๋Š” ์œ„ ๋ธ”๋กœ๊ทธ๋ฅผ ์ฐธ์กฐํ•œ๋‹ค # ๊ทธ๋ž˜ํ”„์— ํ•œ๊ธ€ ๋‚˜์˜ค๊ฒŒ ํ•˜๋Š” ์ฝ”๋“œimport platformimport matplotlib.pyplot as pltfrom matplotlib import font_manager, rcplt.rcParams['axes.unicode_minus'] = Falseif platform.system() =..

Python/Streamlit 2024.05.03

PIE, BAR, LINE, AREA ์ฐจํŠธ๋ฅผ ์ŠคํŠธ๋ฆผ๋ฆฟ(streamlit)์— ํ‘œํ˜„ํ•˜๊ธฐ

#์ŠคํŠธ๋ฆผ๋ฆฟ์˜ ๋‚ด์žฅ ์ฐจํŠธ ํ•จ์ˆ˜์™€ ์œ ๋ช…ํ•œ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ์ธ plotly ์ฐจํŠธimport streamlit as stimport pandas as pdimport matplotlib.pyplot as pltimport plotly.express as pxdef main() : #์ŠคํŠธ๋ฆผ๋ฆฟ์—์„œ ์ œ๊ณตํ•ด์ฃผ๋Š” ์ฐจํŠธ #line_chart, area_chart df1 = pd.read_csv('./data/lang_data.csv') print(df1) print(df1.columns[ 1: ]) column_list = df1.columns[ 1: ] choice_list = st.multiselect('์–ธ์–ด๋ฅผ ์„ ํƒํ•˜์„ธ์š”', column_list) print(c..

Python/Matplotlib 2024.04.26

scatter, histogram ๋“ฑ์˜ ์ฐจํŠธ๋ฅผ ์ŠคํŠธ๋ฆผ๋ฆฟ(streamlit)์œผ๋กœ ํ‘œํ˜„ํ•˜๊ธฐ

# ์ฐจํŠธ ๊ทธ๋ฆฌ๊ธฐ ๋ฐฉ๋ฒ•import streamlit as stimport pandas as pdimport matplotlib.pyplot as pltimport seaborn as sbdef main(): st.title('์ฐจํŠธ ๊ทธ๋ฆฌ๊ธฐ 1') df = pd.read_csv('./data/iris.csv') st.dataframe(df) # sepal_length ์™€ sepal_width์˜ ๊ด€๊ณ„๋ฅผ ์ฐจํŠธ๋กœ ๋‚˜ํƒ€๋‚ด์‹œ์˜ค fig1 = plt.figure() plt.scatter(data=df, x='sepal_length', y='sepal_width') plt.title('Sepal Length vs Width') st.pyplot(fig1..

Python/Matplotlib 2024.04.26

Streamlit) ์—ฌ๋Ÿฌ ๊ฐœ์˜ ํŒŒ์ผ๋กœ ์›นํŽ˜์ด์ง€ ์‹คํ–‰ํ•˜๊ธฐ (๋‹ค๋ฅธ ํŒŒ์ผ์— ์žˆ๋Š” def ํ•จ์ˆ˜ ๊ฐ€์ ธ์˜ค๊ธฐ)

ํŒŒ์ผ์„ ์—ฌ๋Ÿฌ๊ฐœ๋กœ ๋งŒ๋“ค์–ด์„œ, app8.py ๋ฅผ ์‹คํ–‰์‹œํ‚ค๊ณ  ๊ฐ๊ฐ์˜ defํ•จ์ˆ˜๋ฅผ ์ด์šฉํ•˜๋Š” ๋ฐฉ์‹์ด๋‹ค.  app8.py์˜ ๋‚ด์šฉ์ด๋‹ค# ํŒŒ์ผ์„ ๋ถ„๋ฆฌํ•ด์„œ ๊ฐœ๋ฐœํ•˜๋Š” ๋ฐฉ๋ฒ•import streamlit as stfrom app8_home import run_home #๋‹ค๋ฅธ ํŒŒ์ผ์˜ defํ•จ์ˆ˜๋ฅผ ๊ฐ€์ ธ์™€์„œ ์“ฐ๋Š”๋ฐฉ๋ฒ•from app8_eda import run_edafrom app8_ml import run_mlfrom app8_about import run_aboutdef main(): st.title('ํŒŒ์ผ ๋ถ„๋ฆฌ ์•ฑ') menu = ['Home','EDA','ML','About'] choice = st.sidebar.selectbox('๋ฉ”๋‰ด', menu) if choice == men..

Python/Streamlit 2024.04.26

Streamlit) ์›นํŽ˜์ด์ง€์— ํŒŒ์ผ ์—…๋กœ๋“œ ์žฅ์น˜๋ฅผ ๋งŒ๋“ค๊ณ  ํŒŒ์ผ ์ €์žฅ์‹œํ‚ค๊ธฐ

# ํŒŒ์ผ์„ ์—…๋กœ๋“œ ํ•˜๋Š” ๋ฐฉ๋ฒ•# ์ด๋ฏธ์ง€ ํŒŒ์ผ ์—…๋กœ๋“œ, csv ํŒŒ์ผ ์—…๋กœ๋“œimport streamlit as stfrom datetime import datetime # ํ˜„์žฌ์‹œ๊ฐ„์„ ๊ฐ€์ ธ์™€์„œ ์œ ๋‹ˆํฌํ•œ ํŒŒ์ผ๋ช…์„ ๋งŒ๋“œ๋Š”๋ฐ ์‚ฌ์šฉํ•  ๋ชฉ์ ์œผ๋กœ ์ž„ํฌํŠธimport pandas as pdfrom PIL import Image# ๋””๋ ‰ํ† ๋ฆฌ ์ •๋ณด์™€ ํŒŒ์ผ์„ ์•Œ๋ ค์ฃผ๋ฉด# ํ•ด๋‹น ๋””๋ ‰ํ† ๋ฆฌ์— ํŒŒ์ผ์„ ์ €์žฅํ•˜๋Š” ํ•จ์ˆ˜def save_uploaded_file(directory, file): # 1. ๋””๋ ‰ํ† ๋ฆฌ๊ฐ€ ์žˆ๋Š”์ง€ ํ™•์ธํ•˜์—ฌ ์—†์œผ๋ฉด ๋””๋ ‰ํ† ๋ฆฌ๋ถ€ํ„ฐ ๋งŒ๋“ ๋‹ค. import os if not os.path.exists(directory): os.makedirs(directory) # 2. ๋””๋ ‰ํ† ๋ฆฌ๊ฐ€ ์กด์žฌํ•˜๋ฉด, ..

Python/Streamlit 2024.04.26

Streamlit) ์›นํŽ˜์ด์ง€์—์„œ ์œ ์ €์—๊ฒŒ ์ˆซ์ž, ๋ฌธ์ž, ์‹œ๊ฐ„, ์ƒ‰ ์ž…๋ ฅ ๋ฐ›๊ธฐ

#์œ ์ €ํ•œํ…Œ ์ˆซ์ž, ๋ฌธ์ž, ์‹œ๊ฐ„, ์ƒ‰์„ ์ž…๋ ฅ๋ฐ›๋Š” ๋ฐฉ๋ฒ•import streamlit as stdef main() : #1. ์ด๋ฆ„ ์ž…๋ ฅ๋ฐ›๊ธฐ name = st.text_input('์ด๋ฆ„์„ ์ž…๋ ฅํ•˜์„ธ์š”!') if name : st.text( name + "๋‹˜ ์•ˆ๋…•ํ•˜์„ธ์š”") else : st.text('') #2. ์ž…๋ ฅ ๊ธ€์ž ๊ฐฏ์ˆ˜ ์ œํ•œ address = st.text_input('์ฃผ์†Œ๋ฅผ ์ž…๋ ฅํ•˜์„ธ์š”', max_chars=10) st.text(address) #3. ์—ฌ๋Ÿฌ ํ–‰์„ ์ž…๋ ฅ๊ฐ€๋Šฅํ† ๋ก message = st.text_area('๋ฉ”์„ธ์ง€๋ฅผ ์ž…๋ ฅํ•˜์„ธ์š”', height=3) st.text(message) #4. ..

Python/Streamlit 2024.04.26

Streamlit) ์ด๋ฏธ์ง€/๋™์˜์ƒ/์Œ์•…ํŒŒ์ผ์„ ์›น ํŽ˜์ด์ง€ ํ™”๋ฉด์— ๋„์šฐ๋Š” ๋ฐฉ๋ฒ•

#์ด๋ฏธ์ง€/๋™์˜์ƒ/์Œ์•…ํŒŒ์ผ์„ ํ™”๋ฉด์— ๋ณด์—ฌ์ฃผ๋Š” ๋ฐฉ๋ฒ•import streamlit as st#์ด๋ฏธ์ง€ ์ฒ˜๋ฆฌ๋ฅผ ์œ„ํ•œ ๋ผ์ด๋ธŒ๋Ÿดfrom PIL import Image #ํŒŒ์ด์ฌ ์ด๋ฏธ์ง€ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ PILdef main(): # 1. ์ €์žฅ๋˜์–ด์žˆ๋Š” ์ด๋ฏธ์ง€ ํŒŒ์ผ์„ ํ™”๋ฉด์— ํ‘œ์‹œํ•˜๋Š” ๋ฐฉ๋ฒ• img = Image.open('./data/image_03.jpg') st.image(img) st.image(img, width=500) st.image(img, use_column_width=True) #width=Trueํ•ด์ฃผ๋ฉด ์ž๋™์œผ๋กœ ํญ์„ ๋งž์ถฐ์ค€๋‹ค #2. ์ธํ„ฐ๋„ท์ƒ์— ์žˆ๋Š” ์ด๋ฏธ์ง€๋ฅผ ํ™”๋ฉด์— ํ‘œ์‹œํ•˜๋Š” ๋ฐฉ๋ฒ• ์ธํ„ฐ๋„ท์ƒ์˜ ์ด๋ฏธ์ง€:URL์ด ์žˆ๋‹ค #์‚ฌ์ง„ ํŒŒ์ผ (์›€์ง์ด๋Š” gif์‚ฌ์ง„๋„ ๊ฐ€๋Šฅํ•˜๋‹ค) ..

Python/Streamlit 2024.04.26

Streamlit) UIํ•จ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ฒ„ํŠผ ๋งŒ๋“ค๊ธฐ

# UI ํ•จ์ˆ˜๋“ค (๋ฒ„ํŠผ ๋“ฑ๋“ฑ)import streamlit as stimport pandas as pddef main() : df = pd.read_csv('./data/iris.csv') #๋ฒ„ํŠผ ๋งŒ๋“ค๊ธฐ #์œ ์ €๊ฐ€ ๋ฒ„ํŠผ์„ ๋ˆ„๋ฅด๋ฉด ๋ฐ์ดํ„ฐํ”„๋ ˆ์ž„์„ ๋ณด์—ฌ์ค€๋‹ค if st.button(label='๋ฐ์ดํ„ฐ๋ณด๊ธฐ') : st.dataframe(df) #'๋Œ€๋ฌธ์ž' ๋ฒ„ํŠผ์„ ๋งŒ๋“ค๊ณ , ๋ฒ„ํŠผ์„ ๋ˆ„๋ฅด๋ฉด species ์ปฌ๋Ÿผ์˜ ๊ฐ’๋“ค์„ ๋Œ€๋ฌธ์ž๋กœ ๋ณ€๊ฒฝํ•œ ๋ฐ์ดํ„ฐ ํ”„๋ ˆ์ž„์„ ํ™”๋ฉด์— ๋ณด์—ฌ์ฃผ์„ธ์š” if st.button(label='๋Œ€๋ฌธ์ž'): df['species'] = df['species'].str.upper() st.dataframe(df)..

Python/Streamlit 2024.04.26

Streamlit) ์›น ํŽ˜์ด์ง€์— ๋‹ค์–‘ํ•œ ํ…์ŠคํŠธ ํ‘œ์‹œํ•˜๊ธฐ

import streamlit as stdef main() : #ํ…์ŠคํŠธ๋ฅผ ํ‘œ์‹œํ•˜๋Š” ๋ฐฉ๋ฒ• st.title('์›น ๋Œ€์‹œ๋ณด๋“œ') st.text('์›น ๋Œ€์‹œ๋ณด๋“œ ๊ฐœ๋ฐœํ•˜๊ธฐ') name = 'ํ™๊ธธ๋™' #ํ”„๋ฆฐํŠธ ํ•จ์ˆ˜๋Š” ๋””๋ฒ„๊น…์šฉ์ž…๋‹ˆ๋‹ค!!! print(f'์ œ ์ด๋ฆ„์€ {name}์ž…๋‹ˆ๋‹ค' ) st.text(f'์ œ ์ด๋ฆ„์€ {name}์ž…๋‹ˆ๋‹ค') st.header('์ด ์˜์—ญ์€ ํ—ค๋”') st.subheader('์„œ๋ธŒ ํ—ค๋”') st.success('์ž‘์—…์ด ์„ฑ๊ณตํ–ˆ์„ ๋•Œ ์‚ฌ์šฉํ•˜์ž.') st.warning('๊ฒฝ๊ณ  ๋ฌธ๊ตฌ๋ฅผ ๋ณด์—ฌ์ฃผ๊ณ  ์‹ถ์„ ๋•Œ ์‚ฌ์šฉํ•˜์ž') st.info('์ •๋ณด๋ฅผ ๋ณด์—ฌ์ฃผ๊ณ  ์‹ถ์„ ๋•Œ ์‚ฌ์šฉํ•˜์ž') st.error('๋ฌธ์ œ๊ฐ€ ์žˆ..

Python/Streamlit 2024.04.26