📄 Streamlit DataFrame Paginator

A lightweight Streamlit component that displays a paginated table for large DataFrames.
This helps keep your Streamlit apps responsive by showing the data in manageable pages.

✨ Features

• 🔢 Pagination: Displays data with page navigation, improving usability for large DataFrames.

• 🌍 Multilingual Support: You can fully customize all pagination labels to any language, including Japanese. For example:

  # Japanese
  labels = {
      "first": "最初",
      "prev": "前へ",
      "next": "次へ",
      "last": "最後",
      "displayed_record": "表示行数:"
  }
  # English
  labels={
      "first": "First",
      "prev": "Previous",
      "next": "Next",
      "last": "Last",
  }
  

• 📊 Column Sorting: Users can click on any column header to sort the table by that column, toggling between ascending and descending order.

• ↔️ Horizontal Scrolling: If the DataFrame contains many columns, horizontal scrolling is enabled, so you can easily view all data without layout issues.

Installation

pip install st_dataframe_paginator

Usage

import streamlit as st
from st_dataframe_paginator import st_dataframe_paginator
import pandas as pd

# Example DataFrame
df = pd.DataFrame({
    "Name": ["Alice", "Bob", "Charlie", "David", "Eve", "Frank", "Grace", "Hank"],
    "Score": [85, 92, 88, 70, 95, 60, 75, 90]
})

# Use the paginator
st_dataframe_paginator(
    df,
    page_size=3,
    page_size_options=[3, 5, 10],
    labels={
        "first": "⏮️ First",
        "prev": "◀️ Previous",
        "next": "Next ▶️",
        "last": "Last ⏭️",
    },
    key="st_paginator_1"
)

Parameters

Screenshot