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/\u003e\n\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://github.com/gjeusel/ticts/actions?query=workflow%3ACI+branch%3Amain\"\u003e\n      \u003cimg src=\"https://github.com/gjeusel/ticts/actions/workflows/ci.yml/badge.svg?event=push\u0026branch=main\" alt=\"Test Suite\" onerror=\"this.style.display='none'\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://codecov.io/gh/gjeusel/ticts\"\u003e\n      \u003cimg src=\"https://codecov.io/gh/gjeusel/ticts/branch/main/graph/badge.svg\" alt=\"Coverage\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://pypi.org/project/ticts/\"\u003e\n      \u003cimg src=\"https://img.shields.io/pypi/v/ticts\" alt=\"Package version\" onerror=\"this.style.display='none'\"\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://gjeusel.github.io/ticts/\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/mkdocs-pages-brightgreen\" alt=\"MKDocs github page\"\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003cem\u003e\n    A Python library for unevenly-spaced time series analysis.\n    Greatly inspired by \u003ca href=\"https://github.com/datascopeanalytics/traces\"\u003etraces\u003c/a\u003e\n  \u003c/em\u003e\n\u003c/p\u003e\n\n\u003cimg src=\"https://github.com/gjeusel/ticts/blob/main/docs/img/example.png?raw=true\" alt=\"Example plot\" /\u003e\n\nGet Started [Notebook](https://mybinder.org/v2/gh/gjeusel/ticts/main?labpath=docs%2FTutorial.ipynb).\n\n---\n\n## Usage\n\n```python\nfrom ticts import TimeSeries\nts = TimeSeries({\n  '2019-01-01': 1,\n  '2019-01-01 00:10:00': 2,\n  '2019-01-01 00:11:00': 3,\n})\n\nnot_in_index = '2019-01-01 00:05:00'\nassert ts[not_in_index] == 1  # step function, previous value\n\nts['2019-01-01 00:04:00'] = 10\nassert ts[not_in_index] == 10\n\nassert ts + ts == 2 * ts\n\nts_evenly_spaced = ts.sample(freq='1Min')\n\n# From ticts to pandas, and the other way around\nassert ts.equals(\n  ts.to_dataframe().to_ticts(),\n)\n```\n\n## Installation\n\n```bash\npip install ticts\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgjeusel%2Fticts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgjeusel%2Fticts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgjeusel%2Fticts/lists"}