Timeseries
Timeseries are callable objects that represent a time-series dataset.
Example:
ts = pytimeops.Timeseries(time_indices = [1,2,3], values = [[10,100,105],[2,4,5]], metadata = {"sensillum": "s1", "sugar": "fruc"}, channels = ["GRN1","GRN2"], time_interval = 100)
Overview:
- class pytimeops.Timeseries(time_indices, values, metadata, channels, time_interval)[source]
Class to represent Timeseries data
- time_indices
time indices for each data point.
- Type:
list(int)
- times
times for each data point [ms].
- Type:
list(float)
- values
sensilla valies for each time.
- Type:
list(list(int))
- metadata
metadata, other dataset attributes.
- Type:
dict
- channels
names of each measurement channel: neurons here
- Type:
list(str)
- time_interval
binwidth / time between measurements [ms]
- Type:
float