timmy / Streamlit 大規模資料表格與互動編輯

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此範例展示如何使用 Streamlit 處理大量資料,並提供可視化表格 (dataframe) 和可編輯表格 (data_editor) 來動態調整資料。支援圖片預覽、進度條顯示及類別選擇,適用於資料分析與管理應用。
1 import streamlit as st
2 import pandas as pd
3 import numpy as np
4
5 st.write("Got lots of data? Great! Streamlit can show [dataframes](https://docs.streamlit.io/develop/api-reference/data) with hundred thousands of rows, images, sparklines – and even supports editing! ✍️")
6
7 num_rows = st.slider("Number of rows", 1, 10000, 500)
8 np.random.seed(42)
9 data = []
10 for i in range(num_rows):
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