An ipywidgets wrapper of regular-table for Jupyter.

Examples

Two Billion Rows

Notebook

Click Events

Notebook

Edit Events

Notebook

Styling

Notebook

Pandas Data Model

For interactive/streaming sorting/pivoting/aggregation, take a look at Perspective, Streaming pivot visualization via WebAssembly, which also leverages regular-table.

Notebook

Series

DataFrame

DataFrame - Row Pivots

DataFrame - Column Pivots

DataFrame - Pivot Table

Installation

PyPI

ipyregulartable is available on PyPI:

pip install ipyregulartable

Conda

ipyregulartable is also available on conda-forge:

conda install -c conda-forge ipyregulartable

Jupyter Server/JupyterLab Extension

 jupyter labextension install ipyregulartable
 jupyter serverextension enable --py ipyregulartable

If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable the nbextension:

jupyter nbextension enable --py [--sys-prefix|--user|--system] ipyregulartable

Data Model

It is very easy to construct a custom data model. Just implement the abstract methods on the base DataModel class.

class DataModel(with_metaclass(ABCMeta)):
    @abstractmethod
    def editable(self, x, y):
        '''Given an (x,y) coordinate, return if its editable or not'''

    @abstractmethod
    def rows(self):
        '''return total number of rows'''

    @abstractmethod
    def columns(self):
        '''return total number of columns'''

    @abstractmethod
    def dataslice(self, x0, y0, x1, y1):
        '''get slice of data from (x0, y0) to (x1, y1) inclusive'''

Any DataModel object can be provided as the argument to RegularTableWidget. Note that regular-table may make probing calls of the form (0, 0, 0, 0) to assess data limits.

Development

See CONTRIBUTING.md for guidelines.

License

This software is licensed under the Apache 2.0 license. See the LICENSE and AUTHORS files for details.