runpandas.types.acessors.session._SessionAcessor

class runpandas.types.acessors.session._SessionAcessor(session)

Dataframe Accessor to compute the aggregated metrics from a MultiIndex runpandas.types.Activity object.

Raises

AttributeError – if it is not a runpandas.types.Activity instance or not have a pd.MultiIndex or not have the index levels of type pd.DateTimeIndex or pd.TimedeltaIndex.

__init__(session)

Methods

__init__(session)
count()	Returns the total number of activities in the session.
distance([correct_distance, to_special_column])	Compute the distance per position and total distance acummulative over all the activities.
gradient([to_special_column])	Compute the gradient ratio over all the activities.
heart_zone(bins, labels, **kwargs)	Compute the heart zone (with the training zone labels for each heart rate record) over all the activities.
only_moving([threshold])	Impute the periods of inactivity, as such periods must be detected and ignored from the analysis for moving time, heart rate, speed, and power-based calculations for all the activities in the session.
pace([to_special_column])	Compute the pace (the time that it takes to cover distances in your activities) over all the activities.
speed([from_distances, to_special_column])	Compute the speed in meters over all the activities.
summarize()	Summarize the session of activities by returning a Dataframe of the aggregated main statistics.
vertical_speed([to_special_column])	Compute the vertical climbing speed (VAM) in meters over all the activities.