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A Python library for unevenly-spaced time series analysis

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codecov travis Python version 3.5+ Pypi package Documentation Status

A Python library for unevenly-spaced time series analysis. Greatly inspired by traces.


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from ticts import TimeSeries
ts = TimeSeries({
   '2019-01-01': 1,
   '2019-01-01 00:10:00': 2,
   '2019-01-01 00:11:00': 3,
assert ts['2019-01-01 00:05:00'] == 1

ts['2019-01-01 00:04:00'] = 10
assert ts['2019-01-01 00:05:00'] == 10

assert ts + ts == 2 * ts

from datetime import timedelta
onemin = timedelta(minutes=1)
ts_evenly_spaced = ts.sample(freq=onemin)

# if pandas installed:
df = ts.to_dataframe()


pip install ticts

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