epinzur / itables

Pandas DataFrames as Interactive DataTables

Interactive Tables

Pandas DataFrames and Series as interactive datatables!

Install the package with

pip install itables

Activate the interactive mode for all series and dataframes with

from itables import init_notebook_mode
init_notebook_mode(all_interactive=True)

or use itables.show to show just one Series or DataFrame as an interactive table.

(NB: In Jupyter Notebook, Jupyter NBconvert and Jupyter Book, you need to call init_notebook_mode() before using show).

Documentation

Read more about itables and advanced use cases in the documentation.

In particular, the show method let you pass custom parameters to datatables.net's DataTable()'s constructor - see the advanced parameters examples.

Supported environments

itables has been tested in the following editors:

• Jupyter Notebook
• Jupyter Lab
• Jupyter nbconvert (i.e. the tables are still interactive in the HTML export of a notebook)
• Jupyter Book
• Google Colab
• VS Code (for both Jupyter Notebooks and Python scripts)
• PyCharm (for Jupyter Notebooks)

Try ITables on Binder

You can run our examples notebooks directly on , without having to install anything on your side.

Table not loading?

If the table just says "Loading...", then maybe

• You loaded a notebook that is not trusted (run "Trust Notebook" in View / Activate Command Palette)
• Or you are offline?

At the moment itables does not have an offline mode. While the table data is embedded in the notebook, the jquery and datatables.net are loaded from a CDN, see our require.config and our table template, so an internet connection is required to display the tables.

Downsampling

When the data in a table is larger than maxBytes, which is equal to 64KB by default, itables will display only a subset of the table - one that fits into maxBytes. If you wish, you can deactivate the limit with maxBytes=0, change the value of maxBytes, or similarly set a limit on the number of rows (maxRows, defaults to 0) or columns (maxColumns, defaults to pd.get_option('display.max_columns')).

Note that datatables support server-side processing. At a later stage we may implement support for larger tables using this feature.

from itables.sample_dfs import get_indicators
import itables.options as opt

opt.lengthMenu = [2, 5, 10, 20, 50, 100, 200, 500]
opt.maxBytes = 10000

df = get_indicators()
df.values.nbytes

df

To show the table in full, we can modify the value of maxBytes either locally:

show(df, maxBytes=0)

or globally:

opt.maxBytes = 2 ** 20
df