A Python library for unevenly-spaced time series analysis
Project description
A Python library for unevenly-spaced time series analysis. Greatly inspired by traces.
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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_evenly_spaced = ts.sample(freq=onemin)
# if pandas installed:
df = ts.to_dataframe()
Installation
pip install ticts
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