القائمة
Sub-skill of great-tables: Great Tables with Streamlit (+1).
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عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | great-tables-great-tables-with-streamlit |
| description | Sub-skill of great-tables: Great Tables with Streamlit (+1). |
| version | 1.0.0 |
| category | data-analysis |
| type | reference |
| scripts_exempt | true |
import streamlit as st
from great_tables import GT
import pandas as pd
st.set_page_config(page_title="Table Demo", layout="wide")
st.title("Great Tables in Streamlit")
# Sample data
df = pd.DataFrame({
"Product": ["Widget A", "Widget B", "Gadget X"],
"Price": [29.99, 49.99, 19.99],
"Stock": [150, 85, 200],
"Rating": [4.5, 4.2, 4.8]
})
# Create table
table = (
GT(df)
.tab_header(title="Product Catalog")
.fmt_currency(columns="Price", currency="USD")
.fmt_number(columns="Rating", decimals=1)
)
# Display in Streamlit
st.html(table.as_raw_html())
from great_tables import GT
import polars as pl
# Create Polars DataFrame
df_polars = pl.DataFrame({
"name": ["Alice", "Bob", "Charlie"],
"score": [95, 87, 92],
"grade": ["A", "B+", "A-"]
})
# Convert to pandas for Great Tables
df_pandas = df_polars.to_pandas()
# Create table
table = (
GT(df_pandas)
.tab_header(title="Student Scores")
.cols_label(
name="Student",
score="Score",
grade="Grade"
)
)
table.save("polars_table.html")