Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,58 +1,58 @@
|
|
| 1 |
-
import streamlit as st
|
| 2 |
-
import pandas as pd
|
| 3 |
-
import matplotlib.pyplot as plt
|
| 4 |
-
from matplotlib import font_manager as fm
|
| 5 |
-
|
| 6 |
-
# ํฐํธ ํ์ผ ๊ฒฝ๋ก ์ค์
|
| 7 |
-
font_path = r"
|
| 8 |
-
|
| 9 |
-
# ํฐํธ ๋ฑ๋ก
|
| 10 |
-
font_prop = fm.FontProperties(fname=font_path)
|
| 11 |
-
plt.rcParams['font.family'] = font_prop.get_name()
|
| 12 |
-
|
| 13 |
-
# Excel ํ์ผ ๊ฒฝ๋ก
|
| 14 |
-
excel_path = "
|
| 15 |
-
|
| 16 |
-
# Excel ํ์ผ์ ์ํธ๋ค์ ์ฝ์ด์ค๊ธฐ
|
| 17 |
-
@st.cache_data
|
| 18 |
-
def load_excel_sheets(file_path):
|
| 19 |
-
xls = pd.ExcelFile(file_path)
|
| 20 |
-
sheets = {}
|
| 21 |
-
for sheet_name in xls.sheet_names:
|
| 22 |
-
sheets[sheet_name] = pd.read_excel(xls, sheet_name)
|
| 23 |
-
return sheets
|
| 24 |
-
|
| 25 |
-
sheets = load_excel_sheets(excel_path)
|
| 26 |
-
sheet_names = list(sheets.keys())
|
| 27 |
-
|
| 28 |
-
# Streamlit ์ ํ๋ฆฌ์ผ์ด์
|
| 29 |
-
st.title('์ฐ๋ น/์ฑ๋ณ์ ๋ฐ๋ฅธ ์์ 5๊ฐ ๋์ถ ๋์')
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
# ์นดํ
๊ณ ๋ฆฌ ์ ํ
|
| 33 |
-
selected_category = st.selectbox('์นดํ
๊ณ ๋ฆฌ๋ฅผ ์ ํํ์ธ์:', sheet_names)
|
| 34 |
-
|
| 35 |
-
# ์ ํํ ์นดํ
๊ณ ๋ฆฌ์ Excel ๋ฐ์ดํฐ ๋ถ๋ฌ์ค๊ธฐ
|
| 36 |
-
df = sheets[selected_category]
|
| 37 |
-
|
| 38 |
-
# ๋ฐ์ดํฐ ํ๋ ์ ํ์ธ
|
| 39 |
-
st.write(f'์ ํํ ์นดํ
๊ณ ๋ฆฌ: {selected_category}')
|
| 40 |
-
st.dataframe(df)
|
| 41 |
-
|
| 42 |
-
# ๋ฐ์ดํฐ ํ๋ ์์์ ์์ 5๊ฐ ๋์์ ๋์ถ ๊ฑด์ ์ถ์ถ
|
| 43 |
-
top_5_books = df.head(5)
|
| 44 |
-
|
| 45 |
-
# ๋ง๋ ๊ทธ๋ํ ์์ฑ
|
| 46 |
-
fig, ax = plt.subplots(figsize=(10, 6)) # ๊ทธ๋ํ ํฌ๊ธฐ ์กฐ์
|
| 47 |
-
ax.bar(top_5_books['๋์๋ช
'], top_5_books['๋์ถ๊ฑด์'])
|
| 48 |
-
|
| 49 |
-
# ๋ ์ด๋ธ ํ์ ๋ฐ ๋ ์ด๋ธ ๊ฐ๊ฒฉ ์กฐ์
|
| 50 |
-
ax.set_xlabel('๋์๋ช
')
|
| 51 |
-
ax.set_ylabel('๋์ถ๊ฑด์')
|
| 52 |
-
ax.set_title(f'{selected_category} - ์์ 5๊ฐ ๋์ ๋์ถ ๊ฑด์')
|
| 53 |
-
|
| 54 |
-
# X์ถ ๋ ์ด๋ธ ํ์
|
| 55 |
-
plt.xticks(rotation=45, ha='right')
|
| 56 |
-
|
| 57 |
-
# Streamlit์์ ๊ทธ๋ํ ํ์
|
| 58 |
-
st.pyplot(fig)
|
|
|
|
| 1 |
+
import streamlit as st
|
| 2 |
+
import pandas as pd
|
| 3 |
+
import matplotlib.pyplot as plt
|
| 4 |
+
from matplotlib import font_manager as fm
|
| 5 |
+
|
| 6 |
+
# ํฐํธ ํ์ผ ๊ฒฝ๋ก ์ค์
|
| 7 |
+
font_path = r"H2GTRM.TTF"
|
| 8 |
+
|
| 9 |
+
# ํฐํธ ๋ฑ๋ก
|
| 10 |
+
font_prop = fm.FontProperties(fname=font_path)
|
| 11 |
+
plt.rcParams['font.family'] = font_prop.get_name()
|
| 12 |
+
|
| 13 |
+
# Excel ํ์ผ ๊ฒฝ๋ก
|
| 14 |
+
excel_path = "์์_5_๋์.xlsx"
|
| 15 |
+
|
| 16 |
+
# Excel ํ์ผ์ ์ํธ๋ค์ ์ฝ์ด์ค๊ธฐ
|
| 17 |
+
@st.cache_data
|
| 18 |
+
def load_excel_sheets(file_path):
|
| 19 |
+
xls = pd.ExcelFile(file_path)
|
| 20 |
+
sheets = {}
|
| 21 |
+
for sheet_name in xls.sheet_names:
|
| 22 |
+
sheets[sheet_name] = pd.read_excel(xls, sheet_name)
|
| 23 |
+
return sheets
|
| 24 |
+
|
| 25 |
+
sheets = load_excel_sheets(excel_path)
|
| 26 |
+
sheet_names = list(sheets.keys())
|
| 27 |
+
|
| 28 |
+
# Streamlit ์ ํ๋ฆฌ์ผ์ด์
|
| 29 |
+
st.title('์ฐ๋ น/์ฑ๋ณ์ ๋ฐ๋ฅธ ์์ 5๊ฐ ๋์ถ ๋์')
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
# ์นดํ
๊ณ ๋ฆฌ ์ ํ
|
| 33 |
+
selected_category = st.selectbox('์นดํ
๊ณ ๋ฆฌ๋ฅผ ์ ํํ์ธ์:', sheet_names)
|
| 34 |
+
|
| 35 |
+
# ์ ํํ ์นดํ
๊ณ ๋ฆฌ์ Excel ๋ฐ์ดํฐ ๋ถ๋ฌ์ค๊ธฐ
|
| 36 |
+
df = sheets[selected_category]
|
| 37 |
+
|
| 38 |
+
# ๋ฐ์ดํฐ ํ๋ ์ ํ์ธ
|
| 39 |
+
st.write(f'์ ํํ ์นดํ
๊ณ ๋ฆฌ: {selected_category}')
|
| 40 |
+
st.dataframe(df)
|
| 41 |
+
|
| 42 |
+
# ๋ฐ์ดํฐ ํ๋ ์์์ ์์ 5๊ฐ ๋์์ ๋์ถ ๊ฑด์ ์ถ์ถ
|
| 43 |
+
top_5_books = df.head(5)
|
| 44 |
+
|
| 45 |
+
# ๋ง๋ ๊ทธ๋ํ ์์ฑ
|
| 46 |
+
fig, ax = plt.subplots(figsize=(10, 6)) # ๊ทธ๋ํ ํฌ๊ธฐ ์กฐ์
|
| 47 |
+
ax.bar(top_5_books['๋์๋ช
'], top_5_books['๋์ถ๊ฑด์'])
|
| 48 |
+
|
| 49 |
+
# ๋ ์ด๋ธ ํ์ ๋ฐ ๋ ์ด๋ธ ๊ฐ๊ฒฉ ์กฐ์
|
| 50 |
+
ax.set_xlabel('๋์๋ช
')
|
| 51 |
+
ax.set_ylabel('๋์ถ๊ฑด์')
|
| 52 |
+
ax.set_title(f'{selected_category} - ์์ 5๊ฐ ๋์ ๋์ถ ๊ฑด์')
|
| 53 |
+
|
| 54 |
+
# X์ถ ๋ ์ด๋ธ ํ์
|
| 55 |
+
plt.xticks(rotation=45, ha='right')
|
| 56 |
+
|
| 57 |
+
# Streamlit์์ ๊ทธ๋ํ ํ์
|
| 58 |
+
st.pyplot(fig)
|