A Python library for unevenly-spaced time series analysis
Project description
A Python library for unevenly-spaced time series analysis. Greatly inspired by traces.
Get Started Notebook.
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,
})
not_in_index = '2019-01-01 00:05:00'
assert ts[not_in_index] == 1 # step function, previous value
ts['2019-01-01 00:04:00'] = 10
assert ts[not_in_index] == 10
assert ts + ts == 2 * ts
ts_evenly_spaced = ts.sample(freq='1Min')
# From ticts to pandas, and the other way around
assert ts.equals(
ts.to_dataframe().to_ticts(),
)
Installation
pip install ticts
Contributing
pip install pre-commit
pre-commit install --hook-type pre-push
Project details
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