timmy a révisé ce gist 10 months ago. Aller à la révision
1 file changed, 30 insertions
streamlit_large_dataframe.py(fichier créé)
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| 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): | |
| 11 | + | data.append( | |
| 12 | + | { | |
| 13 | + | "Preview": f"https://picsum.photos/400/200?lock={i}", | |
| 14 | + | "Views": np.random.randint(0, 1000), | |
| 15 | + | "Active": np.random.choice([True, False]), | |
| 16 | + | "Category": np.random.choice(["🤖 LLM", "📊 Data", "⚙️ Tool"]), | |
| 17 | + | "Progress": np.random.randint(1, 100), | |
| 18 | + | } | |
| 19 | + | ) | |
| 20 | + | data = pd.DataFrame(data) | |
| 21 | + | ||
| 22 | + | config = { | |
| 23 | + | "Preview": st.column_config.ImageColumn(), | |
| 24 | + | "Progress": st.column_config.ProgressColumn(), | |
| 25 | + | } | |
| 26 | + | ||
| 27 | + | if st.toggle("Enable editing"): | |
| 28 | + | edited_data = st.data_editor(data, column_config=config, use_container_width=True) | |
| 29 | + | else: | |
| 30 | + | st.dataframe(data, column_config=config, use_container_width=True) | |
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