Utilities for fast timeseries analysis
Project description
pyg-timeseries
pandas is great but pyg-timeseries introduces a few improvements.
- pyg is designed so that for dataframes/series without nans, it matches pandas exactly
- consistent treatments of nan's: unlike pandas, pyg ignores nans everywhere in its calculations.
- np.ndarray and pandas dataframes are treated the same and pyg operates on np.arrays seemlessly
- state-management: pyg introduces a framework for returning not just the timeseries, but also the state of the calculation. This can be fed into the next calculation batch, allowing us not to have to 're-run' everything from the distant past.
- performance-wise, pyg is implemented via numba with performance times comparable to pandas
pip install from https://pypi.org/project/pyg-timeseries/
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyg_timeseries-0.0.38.tar.gz
(72.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyg_timeseries-0.0.38.tar.gz.
File metadata
- Download URL: pyg_timeseries-0.0.38.tar.gz
- Upload date:
- Size: 72.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b888eddd959408bab1bdc3ae8b7ffde1a8ac5f66a275562923c505cb06bda26
|
|
| MD5 |
c1f25979e5815331c9c89fd39dd8aa48
|
|
| BLAKE2b-256 |
7d94b9394cb7f675d399725d8ac02ec4c5b04e3b41f5e27be924351643f84153
|
File details
Details for the file pyg_timeseries-0.0.38-py3-none-any.whl.
File metadata
- Download URL: pyg_timeseries-0.0.38-py3-none-any.whl
- Upload date:
- Size: 78.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8aaedf879d20fbd69ee7f1cf071d3bb4993531be9e81810bcc7f96082d040ba5
|
|
| MD5 |
7696d11c6b801176a89afbdba3279cd5
|
|
| BLAKE2b-256 |
8c5fc71133869e3874900fcb1ff2207c12a59937b462c455e16431bf946a11df
|
