Input/output#

Tracking files#

read_file(filename[, to_df])

read_dir(dirname[, to_df])

StravaClient(*args[, token_file, ...])

The StravaClient object is a helper tool for handling the authentication process (i.e.

get_events(identifier[, year, run_type, config])

Returns event results based on year or event name identifier.

read_event(filename[, to_df])

`read_strava`(activity_id[, client, to_df])	This method loads the activity data from Strava into a Pandas DataFrame or runpandas Activity.
`read_nikerun`(file_path[, to_df])	This method loads a NikeRun API response in JSON file into a Pandas DataFrame or runpandas Activity.
`read_dir_nikerun`(dirname, **kwargs)	Read all NikeRun JSON container files from a supplied directory as runpandas.Activity dataframes, and aggregate them to the same session as a pandas.MultiIndex activity dataframe.