A lightweight data model for time series data with pandas, numpy, and polars support
Project description
TimeDataModel
A lightweight Python data model for time series data.
Features
TimeSeriesclass with typed timestamps and float/None values- Flexible
Resolution(frequency + timezone) andMetadata - Geographic location support (
GeoLocation,GeoArea) - Native bridges to pandas DataFrames and numpy arrays
- Optional polars support
- JSON and CSV serialization
Installation
pip install timedatamodel
# With polars support
pip install timedatamodel[polars]
Quick Start
from datetime import datetime, timezone
from timedatamodel import TimeSeries, Resolution, Metadata
from timedatamodel.enums import Frequency
res = Resolution(Frequency.PT1H, "UTC")
ts = TimeSeries(
resolution=res,
metadata=Metadata(name="power", unit="kW"),
timestamps=[datetime(2024, 1, 1, i, tzinfo=timezone.utc) for i in range(3)],
values=[100.0, 110.0, 95.0],
)
df = ts.to_pandas_dataframe()
Requirements
Python >= 3.11
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
timedatamodel-0.1.1.tar.gz
(31.7 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 timedatamodel-0.1.1.tar.gz.
File metadata
- Download URL: timedatamodel-0.1.1.tar.gz
- Upload date:
- Size: 31.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.18 {"installer":{"name":"uv","version":"0.9.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
81a78e887cec8e45076f48595147e84a97742a10ed399b2cac805e1e6749a272
|
|
| MD5 |
b98db6904f39020790b4d80f13703449
|
|
| BLAKE2b-256 |
9160acaafc2496015dbe202e36681c87f3702c04a8c1d9ef8a727b8d5158749b
|
File details
Details for the file timedatamodel-0.1.1-py3-none-any.whl.
File metadata
- Download URL: timedatamodel-0.1.1-py3-none-any.whl
- Upload date:
- Size: 11.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.9.18 {"installer":{"name":"uv","version":"0.9.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2ac4d6486af7e48542deb5c396b7a6e2b9802848e0e1b25400aaf5ff81d8bd11
|
|
| MD5 |
19b74091205bbac866e006fff543f7fd
|
|
| BLAKE2b-256 |
90697c7159316653d89c20dc5607877d2e53ad89ba8174c286361ccee822b1af
|
