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sheetframe

An interactive DataFrame table for Jupyter notebooks and Google Colab. Browse pandas data like a spreadsheet: select cells, rows, or columns; resize them; and copy selections into a spreadsheet or document. Turn on a compact summary when you want row counts, missing values, duplicates, and memory usage at a glance.

Install

%pip install sheetframe

Use

import pandas as pd
import sheetframe as sf

df = pd.DataFrame({
    "Student": ["Ada", "Lin", "Sam"],
    "Score": [91.25, 87.5, 94.0],
})

sf.table(df)

The table appears in the notebook output. You can customize it:

sf.table(
    df,
    decimal=2,
    showIndex=True,
    include_header=True,
    kpi=True,
)
Option What it does Default
decimal Decimal places shown for numbers; 0 keeps their original text 2
showIndex Shows the DataFrame index when the table opens False
include_header Includes column names when copying a selection True
kpi Shows a summary above the table False

Pass a pandas DataFrame or Series. You can also call sf.sheetframe(df) or use from sheetframe import sheetframe.

Release files for sheetframe 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sheetframe 0.1.3
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sheetframe-0.1.3.tar.gz 11.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for sheetframe 0.1.3
File Interpreter ABI Platform
sheetframe-0.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 20.7 kB

Release files / sheetframe-0.1.3.tar.gz

Download URL sheetframe-0.1.3.tar.gz
Size 11.1 kB
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Release files / sheetframe-0.1.3-py3-none-any.whl

Download URL sheetframe-0.1.3-py3-none-any.whl
Size 9.6 kB
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0.1.3 This release

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0.1.2

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0.1.1

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0.1.0

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