Excel2Table

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Simple command-line utility to convert csv, xls, xlsx, ods files to searchable and sortable HTML table. Supports large datasets and horizontal scrolling for large number of columns.

It is a variant of csvtotable <https://github.com/vividvilla/csvtotable>_.

Demo

Here is a demo_ of sample ods_ file converted to HTML table with charts.

.. image:: https://user-images.githubusercontent.com/4280312/30404140-006c035e-98dd-11e7-9cfd-1fcf3e405e2f.gif

Installation

::

pip install --upgrade excel2table

Get started

::

excel2table --help

Convert data.ods file to data.html file

::

excel2table data.ods data.html

Open output file in a web browser instead of writing to a file

::

excel2table data.ods --serve

Options

::

-c,  --caption          Table caption
-d,  --delimiter        CSV delimiter. Defaults to ','
-e,  --encoding         CSV encoding. Defaults to 'utf-8'.
-q,  --quotechar        Quote chracter. Defaults to '"'
-dl, --display-length   Number of rows to show by default. Defaults to -1 (show all rows)
-o,  --overwrite        Overwrite the output file if exists. Defaults to false.
-s,  --serve            Open html output in a web browser.
-h,  --height           Table height in px or in %. Default is 75% of the page.
-p,  --pagination       Enable/disable pagination. Enabled by default.
-vs, --virtual-scroll   Number of rows after which virtual scroll is enabled. Default is set to 1000 rows.
                        Set it to -1 to disable and 0 to always enable.
-nh, --no-header        Show default headers instead of picking first row as header. Disabled by default.
-e,  --export           Enable filtered rows export options.
-eo, --export-options   Enable specific export options. By default shows all.
                        For multiple options use -eo flag multiple times. For ex. -eo json -eo csv

Credits

Datatables_

.. _Here is a demo: https://github.com/pyexcel/excel2table/master/sample/goog.html .. _sample ods: https://github.com/pyexcel/excel2table/blob/master/sample/goog.ods .. _Datatables: https://datatables.net