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2bbf412
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Update app.py

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  1. app.py +58 -58
app.py CHANGED
@@ -1,58 +1,58 @@
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- import streamlit as st
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- import pandas as pd
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- import matplotlib.pyplot as plt
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- from matplotlib import font_manager as fm
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-
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- # ํฐํŠธ ํŒŒ์ผ ๊ฒฝ๋กœ ์„ค์ •
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- font_path = r"C:\Users\user\Desktop\๋„์„œ๊ด€_๊ณต๋ชจ์ „\์ตœ์ข…\H2GTRM.TTF"
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-
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- # ํฐํŠธ ๋“ฑ๋ก
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- font_prop = fm.FontProperties(fname=font_path)
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- plt.rcParams['font.family'] = font_prop.get_name()
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-
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- # Excel ํŒŒ์ผ ๊ฒฝ๋กœ
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- excel_path = "C:/Users/user/Desktop/๋„์„œ๊ด€_๊ณต๋ชจ์ „/์ตœ์ข…/12_๋‹ค๋Œ€์ถœ๊ทธ๋ฃน/๋„์„œ ๋Œ€์ถœ ํŒจํ„ด ๋ถ„์„/์ƒ์œ„_5_๋„์„œ.xlsx"
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-
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- # Excel ํŒŒ์ผ์˜ ์‹œํŠธ๋“ค์„ ์ฝ์–ด์˜ค๊ธฐ
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- @st.cache_data
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- def load_excel_sheets(file_path):
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- xls = pd.ExcelFile(file_path)
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- sheets = {}
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- for sheet_name in xls.sheet_names:
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- sheets[sheet_name] = pd.read_excel(xls, sheet_name)
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- return sheets
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-
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- sheets = load_excel_sheets(excel_path)
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- sheet_names = list(sheets.keys())
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-
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- # Streamlit ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜
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- st.title('์—ฐ๋ น/์„ฑ๋ณ„์— ๋”ฐ๋ฅธ ์ƒ์œ„ 5๊ฐœ ๋Œ€์ถœ ๋„์„œ')
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-
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-
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- # ์นดํ…Œ๊ณ ๋ฆฌ ์„ ํƒ
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- selected_category = st.selectbox('์นดํ…Œ๊ณ ๋ฆฌ๋ฅผ ์„ ํƒํ•˜์„ธ์š”:', sheet_names)
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-
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- # ์„ ํƒํ•œ ์นดํ…Œ๊ณ ๋ฆฌ์˜ Excel ๋ฐ์ดํ„ฐ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ
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- df = sheets[selected_category]
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-
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- # ๋ฐ์ดํ„ฐ ํ”„๋ ˆ์ž„ ํ™•์ธ
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- st.write(f'์„ ํƒํ•œ ์นดํ…Œ๊ณ ๋ฆฌ: {selected_category}')
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- st.dataframe(df)
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-
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- # ๋ฐ์ดํ„ฐ ํ”„๋ ˆ์ž„์—์„œ ์ƒ์œ„ 5๊ฐœ ๋„์„œ์™€ ๋Œ€์ถœ ๊ฑด์ˆ˜ ์ถ”์ถœ
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- top_5_books = df.head(5)
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-
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- # ๋ง‰๋Œ€ ๊ทธ๋ž˜ํ”„ ์ƒ์„ฑ
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- fig, ax = plt.subplots(figsize=(10, 6)) # ๊ทธ๋ž˜ํ”„ ํฌ๊ธฐ ์กฐ์ •
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- ax.bar(top_5_books['๋„์„œ๋ช…'], top_5_books['๋Œ€์ถœ๊ฑด์ˆ˜'])
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-
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- # ๋ ˆ์ด๋ธ” ํšŒ์ „ ๋ฐ ๋ ˆ์ด๋ธ” ๊ฐ„๊ฒฉ ์กฐ์ •
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- ax.set_xlabel('๋„์„œ๋ช…')
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- ax.set_ylabel('๋Œ€์ถœ๊ฑด์ˆ˜')
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- ax.set_title(f'{selected_category} - ์ƒ์œ„ 5๊ฐœ ๋„์„œ ๋Œ€์ถœ ๊ฑด์ˆ˜')
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-
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- # X์ถ• ๋ ˆ์ด๋ธ” ํšŒ์ „
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- plt.xticks(rotation=45, ha='right')
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-
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- # Streamlit์—์„œ ๊ทธ๋ž˜ํ”„ ํ‘œ์‹œ
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- st.pyplot(fig)
 
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+ import streamlit as st
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+ import pandas as pd
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+ import matplotlib.pyplot as plt
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+ from matplotlib import font_manager as fm
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+
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+ # ํฐํŠธ ํŒŒ์ผ ๊ฒฝ๋กœ ์„ค์ •
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+ font_path = r"H2GTRM.TTF"
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+
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+ # ํฐํŠธ ๋“ฑ๋ก
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+ font_prop = fm.FontProperties(fname=font_path)
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+ plt.rcParams['font.family'] = font_prop.get_name()
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+
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+ # Excel ํŒŒ์ผ ๊ฒฝ๋กœ
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+ excel_path = "์ƒ์œ„_5_๋„์„œ.xlsx"
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+
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+ # Excel ํŒŒ์ผ์˜ ์‹œํŠธ๋“ค์„ ์ฝ์–ด์˜ค๊ธฐ
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+ @st.cache_data
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+ def load_excel_sheets(file_path):
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+ xls = pd.ExcelFile(file_path)
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+ sheets = {}
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+ for sheet_name in xls.sheet_names:
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+ sheets[sheet_name] = pd.read_excel(xls, sheet_name)
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+ return sheets
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+
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+ sheets = load_excel_sheets(excel_path)
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+ sheet_names = list(sheets.keys())
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+
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+ # Streamlit ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜
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+ st.title('์—ฐ๋ น/์„ฑ๋ณ„์— ๋”ฐ๋ฅธ ์ƒ์œ„ 5๊ฐœ ๋Œ€์ถœ ๋„์„œ')
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+
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+
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+ # ์นดํ…Œ๊ณ ๋ฆฌ ์„ ํƒ
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+ selected_category = st.selectbox('์นดํ…Œ๊ณ ๋ฆฌ๋ฅผ ์„ ํƒํ•˜์„ธ์š”:', sheet_names)
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+
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+ # ์„ ํƒํ•œ ์นดํ…Œ๊ณ ๋ฆฌ์˜ Excel ๋ฐ์ดํ„ฐ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ
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+ df = sheets[selected_category]
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+
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+ # ๋ฐ์ดํ„ฐ ํ”„๋ ˆ์ž„ ํ™•์ธ
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+ st.write(f'์„ ํƒํ•œ ์นดํ…Œ๊ณ ๋ฆฌ: {selected_category}')
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+ st.dataframe(df)
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+
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+ # ๋ฐ์ดํ„ฐ ํ”„๋ ˆ์ž„์—์„œ ์ƒ์œ„ 5๊ฐœ ๋„์„œ์™€ ๋Œ€์ถœ ๊ฑด์ˆ˜ ์ถ”์ถœ
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+ top_5_books = df.head(5)
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+
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+ # ๋ง‰๋Œ€ ๊ทธ๋ž˜ํ”„ ์ƒ์„ฑ
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+ fig, ax = plt.subplots(figsize=(10, 6)) # ๊ทธ๋ž˜ํ”„ ํฌ๊ธฐ ์กฐ์ •
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+ ax.bar(top_5_books['๋„์„œ๋ช…'], top_5_books['๋Œ€์ถœ๊ฑด์ˆ˜'])
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+
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+ # ๋ ˆ์ด๋ธ” ํšŒ์ „ ๋ฐ ๋ ˆ์ด๋ธ” ๊ฐ„๊ฒฉ ์กฐ์ •
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+ ax.set_xlabel('๋„์„œ๋ช…')
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+ ax.set_ylabel('๋Œ€์ถœ๊ฑด์ˆ˜')
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+ ax.set_title(f'{selected_category} - ์ƒ์œ„ 5๊ฐœ ๋„์„œ ๋Œ€์ถœ ๊ฑด์ˆ˜')
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+
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+ # X์ถ• ๋ ˆ์ด๋ธ” ํšŒ์ „
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+ plt.xticks(rotation=45, ha='right')
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+
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+ # Streamlit์—์„œ ๊ทธ๋ž˜ํ”„ ํ‘œ์‹œ
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+ st.pyplot(fig)