graph_generator module

Generate Graph for cycling power.

This module provides the necessary functions to generate graphical views of a strava user’s power over time.

graph_generator.activity_zone(connection, activity_data_frame)

Heart rate zone of activity

If a user is a premium member, add the zone of their activities to their activity dataframe. This is determined by finding the max time spent in each heart rate zone for an activity defined by its id.

Parameters:

• connection (object) – an instance of urllib3 Pool Manager

• activity_data_frame (dataframe) – dataframe containing id, date, avg watts, max watts

Returns:

returns an updated dataframe with zone data

Return type:

dataframe

graph_generator.connect_to_strava()

Connect to strava API

Connect to Strava API by creating an instance of urllib3 pool manager.

Parameters:

None –

Returns:

An instance of urllib3 Pool Manager

Return type:

object

graph_generator.dict_to_df(dictionary)

Dictionary to dataframe conversion kit.

Converts a dictionary of authorized user’s activities to a dataframe

Parameters:

dictionary (dict) – dictionary containing list of activities

Returns:

dataframe containing all activities

Return type:

dataframe

graph_generator.is_user_premium(connection)

Is strava user a premium subscriber

Determines if a strava user is a premium subscriber. This is to determine if I can access their zone data through the API.

Parameters:

connection (object) – an instance of urllib3 Pool Manager

Returns:

returns boolean value for if the user is a strava

premium member

Return type:

boolean

graph_generator.json_to_dict(activity_data)

json to dictionary conversion kit.

Converts list of acitvities in json form to a Python dictionary.

Parameters:

activity_data (json) – a json containing list of activities

Returns:

dictionary containing list of activities

Return type:

dictionary

graph_generator.strava_data_for_graph()

Gather data for graphical view

Retreives a list of authorized users’ activities, and converts json containing activities into a dataframe.

Parameters:

None –

Returns:

dataframe containing all activities

Return type:

dataframe