Skip to main content

ticts logo

Test Suite Coverage Package version MKDocs github page

A Python library for unevenly-spaced time series analysis. Greatly inspired by traces

Example plot

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

Metadata

Release files for ticts 0.6.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ticts 0.6.1
File Size Uploaded Provenance
ticts-0.6.1.tar.gz 79.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for ticts 0.6.1
File Interpreter ABI Platform
ticts-0.6.1-py3-none-any.whl Python 3 none any Details

Total release size: 92.1 kB

Release files / ticts-0.6.1.tar.gz

Download URL ticts-0.6.1.tar.gz
Size 79.6 kB
Tags Source
SHA-256 checksum
How to use checksums
8b7adbba34a1a605f99bd70f58cb19b12119d129c7eb8fc93b8201e1e10ec529
BLAKE2b-256 checksum
How to use checksums
12cc91182c42e16ca3d9b0578370ce283ae57e571e45eacc30af36643f06bdef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.14

Release files / ticts-0.6.1-py3-none-any.whl

Download URL ticts-0.6.1-py3-none-any.whl
Size 12.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
552f250366087129c60541aa48557dbdfae57709dee768d084ec86b799897322
BLAKE2b-256 checksum
How to use checksums
21af4be9884c01330187faeac44d5f7e5d4c089cd85e786c82ee3f4cb7a9d137
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.14

Security for ticts 0.6.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page