pipeline.src.flows.activity_visualizations
==========================================

.. py:module:: pipeline.src.flows.activity_visualizations


Functions
---------

.. autoapisummary::

   pipeline.src.flows.activity_visualizations.extract_activity_overview_data
   pipeline.src.flows.activity_visualizations.get_time_range
   pipeline.src.flows.activity_visualizations.make_config
   pipeline.src.flows.activity_visualizations._df_to_dict
   pipeline.src.flows.activity_visualizations._normalize_data
   pipeline.src.flows.activity_visualizations.data_to_json
   pipeline.src.flows.activity_visualizations._repr_html_
   pipeline.src.flows.activity_visualizations.generate_html
   pipeline.src.flows.activity_visualizations.create_data_frame_to_load
   pipeline.src.flows.activity_visualizations.load_activity_visualization
   pipeline.src.flows.activity_visualizations.activity_visualizations_flow


Module Contents
---------------

.. py:function:: extract_activity_overview_data(from_datetime_utc: datetime.datetime, to_datetime_utc: datetime.datetime) -> pandas.DataFrame

.. py:function:: get_time_range(df: pandas.DataFrame) -> list

.. py:function:: make_config(time_range: list) -> dict

.. py:function:: _df_to_dict(df)

   Create an input dict for Kepler.gl using a DataFrame object

   Inputs:
   - df: a DataFrame object

   Returns:
   - dictionary: a dictionary variable that can be used in Kepler.gl



.. py:function:: _normalize_data(data)

.. py:function:: data_to_json(data)

   Serialize a Python data object.
   Attributes of this dictionary are to be passed to the JavaScript side.


.. py:function:: _repr_html_(data=None, config=None, read_only=False, center_map=False)

.. py:function:: generate_html(df: pandas.DataFrame, config: dict) -> str

.. py:function:: create_data_frame_to_load(html: str, from_datetime_utc: datetime.datetime, to_datetime_utc: datetime.datetime) -> pandas.DataFrame

.. py:function:: load_activity_visualization(df: pandas.DataFrame, truncate_table: bool)

.. py:function:: activity_visualizations_flow(start_months_ago: int = 12, end_months_ago: int = 0, truncate_table: bool = False, get_utcnow_fn=get_utcnow)