ipyregulartable

An ipywidgets wrapper around regular-table for Jupyter.

Examples

Two Billion Rows

Notebook

Click Events

Notebook

Edit Events

Notebook

Styling

Notebook

Pandas Data Model

For interactive or streaming sorting, pivoting, and aggregation, see Perspective, which also uses regular-table.

Series

DataFrame

DataFrame Row Pivots

DataFrame Column Pivots

DataFrame Pivot Table

Installation

PyPI

pip install ipyregulartable

Conda

conda install -c conda-forge ipyregulartable

For Jupyter Notebook 5.2 or earlier, enable the classic notebook extension:

jupyter nbextension enable --py --sys-prefix ipyregulartable

Data Model

Custom data models implement the abstract methods on the base DataModel class:

class DataModel(with_metaclass(ABCMeta)):
    @abstractmethod
    def editable(self, x, y):
        """Return whether the cell at (x, y) is editable."""

    @abstractmethod
    def rows(self):
        """Return the total number of rows."""

    @abstractmethod
    def columns(self):
        """Return the total number of columns."""

    @abstractmethod
    def dataslice(self, x0, y0, x1, y1):
        """Return a data slice, inclusive of both coordinate pairs."""

Any DataModel object can be passed to RegularTableWidget. regular-table may make probing calls with (0, 0, 0, 0) to assess data limits.

License

Licensed under the Apache License 2.0. See LICENSE, NOTICE, and AUTHORS.