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A Python library for unevenly-spaced time series analysis

Project description

codecov travis Python version 3.5+ Pypi package

A Python library for unevenly-spaced time series analysis.

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Usage

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.sample(freq=onemin)

# if pandas installed:
ts.to_dataframe()

Installation

pip install ticts

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