ticts 0.3.5

A Python library for unevenly-spaced time series analysis

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