gslides 0.1.1
Wrapper around Google APIs to create charts in Google Slides with python
License: MIT License
Requires Python: >=3.7.0

gslides: Creating charts in Google slides
=========================================

``gslides`` is a Python package that helps analysts turn ``pandas`` dataframes into Google slides & sheets charts by configuring and executing Google API calls.

The package provides a set of classes that enable the user full control over the creation of new visualizations through configurable parameters while eliminating the complexity of working directly with the Google API.

Quick Installation
------------------

.. code-block:: bash

  pip install gslides


Usage
------------------

Below is an example that only showcases a simple workflow. Full discussion around features can be found in the docs.

**1. Initialize package and connection**

.. code-block:: python

  import gslides
  from gslides import (
      Frame,
      Presentation,
      Spreadsheet,
      Table,
      Series, Chart
  )
  from sklearn import datasets
  gslides.initialize_credentials(creds) #BringYourOwnCredentials


**2. Create a presentation**

.. code-block:: python

  prs = Presentation.create(name = 'demo pres')

**3. Create a spreadsheet**

.. code-block:: python

  spr = Spreadsheet.create(
      title = 'demo spreadsheet',
      sheet_names = ['demo sheet']
  )

**4. Load the data to the spreadsheet**

.. code-block:: python

  plt_df = #Iris data
  frame = Frame.create(df = plt_df,
            spreadsheet_id = spr.spreadsheet_id,
            sheet_id = spr.sheet_names['demo sheet'],
            sheet_name = 'demo sheet',
            overwrite_data = True
  )

**5. Create a scatterplot**

.. code-block:: python

  sc = Series.scatter(series_columns = target_names)
  ch = Chart(
      data = frame.data,
      x_axis_column = 'sepal length (cm)',
      series = [sc],
      title = f'Demo Chart',
      x_axis_label = 'Sepal Length',
      y_axis_label = 'Petal Width',
      legend_position = 'RIGHT_LEGEND',
  )

**6. Create a table**

.. code-block:: python

  tbl = Table(
      data = plt_df.head()
  )

**7. Create a slide with the scatterplot**

.. code-block:: python

  prs.add_slide(
    objects = [ch, tbl],
    layout = (1,2),
    title = "Investigation into Fischer's Iris dataset",
    notes = "Data from 1936"
  )

**8. Preview the slide you have just created in your notebook**

.. code-block:: python

  prs.show_slide(prs.slide_ids[-1])

.. image:: img/usage.png

``gslides`` also supports basic templating functionality. See this `notebook <https://github.com/michael-gracie/gslides/blob/main/notebooks/usage.ipynb>`_ for an example.

Advanced Usage
----------------------

Find this `Jupyter notebook <https://github.com/michael-gracie/gslides/blob/main/notebooks/advanced_usage.ipynb>`_ detailing advanced usage of ``gslides``.

Developer Instructions
----------------------

To install the package with development dependencies run the command

.. code-block:: bash

  pip install -e .[dev]

This will enable the following

- Unit testing using `pytest <https://docs.pytest.org/en/latest/>`_
  - Run ``pytest`` in root package directory
- Pre commit hooks ensuring codes style using `black <https://github.com/ambv/black>`_ and `isort <https://github.com/pre-commit/mirrors-isort>`_
- Sphinx documentation
  - To create sphinx run ``make html`` in package docs folder
  - To view locally run ``python -m http.server``