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    "info": {
        "author": "Yann B\u00fcchau",
        "author_email": "nobodyinperson@gmx.de",
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        "classifiers": [
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)"
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        "description": "# Polt\n\nLive data visualisation via Matplotlib\n\n[![pipeline status](https://gitlab.com/nobodyinperson/python3-polt/badges/master/pipeline.svg)](https://gitlab.com/nobodyinperson/python3-polt/commits/master)\n[![coverage report](https://gitlab.com/nobodyinperson/python3-polt/badges/master/coverage.svg)](https://nobodyinperson.gitlab.io/python3-polt/coverage-report/)\n[![documentation](https://img.shields.io/badge/docs-sphinx-brightgreen.svg)](https://nobodyinperson.gitlab.io/python3-polt/)\n[![PyPI](https://badge.fury.io/py/polt.svg)](https://badge.fury.io/py/polt)\n\n`polt` is a Python package for live data visualisation via\n[Matplotlib](https://matplotlib.org/).\n\n## What can `polt` do?\n\n### Reading Numbers from STDIN\n\n```bash\npolt generate -c walk --max-rate 20 | polt live\n```\n\n![polt-random-walk-stdin](https://gitlab.com/nobodyinperson/python3-polt/uploads/5b869729f3abc5a630c1fc2861c9a012/polt-live-random-walk.png)\n\n### Reading CSV from STDIN\n\n```bash\npolt generate \\\n     -c \"sensor1_temperature_celsius=uniform(20,25)\" \\\n     -c \"sensor1_pressure_hPa=uniform(990,1020)\" \\\n     -c \"sensor2_pressure_hPa=uniform(990,1020)\" \\\n     -c \"sensor3_humidity_percent=uniform(10,90)\" \\\n     -c \"sensor3_temperature_kelvin=uniform(0,300)\" \\\n     --max-rate 5 \\\n     | polt \\\n         add-source -p csv -o name=Data -o header-regex=key-quantity-unit \\\n         live -o extrapolate=yes -o subplots-for=unit\n```\n\n![polt-csv-stdin](https://gitlab.com/nobodyinperson/python3-polt/uploads/2e6c1c25d6a828bff4c075dec980e6a2/polt-live-5-random-sensors-by-unit.png)\n\n### Reading Live Data from Logfiles\n\nImagine you have a file `data.txt` where another process constantly writes\nlines of numbers into. `polt` can then use the common `tail` program to watch\nthat data:\n\n```bash\npolt add-source -c \"tail -fn0 data.txt\" live\n```\n\n### Configuration Files\n\n`polt` can use configuration files (by default `~/.config/polt/polt.conf` and\n`.polt.conf` in the current directory) to simplify invocation. It is also\npossible to read and save the current configuration with the `polt config`\ncommand.\n\n### Easy to Customize\n\nIt is easy to extend `polt` with your own data parsers, filters or animation\nroutines.  Check [the\ndocumentation](https://nobodyinperson.gitlab.io/python3-polt/) for further\ninformation.\n\n## Why on Earth is it called `polt` and not `plot`!?\n\nI am a big fan of swapping syllables or characters around resulting in\nridiculously-sounding words. `polt` is one of those words which I am generating\nquite frequently when typing quickly.\n\n## Installation\n\nThe `polt` package is best installed via `pip`. Run from anywhere:\n\n```bash\npython3 -m pip install --user polt\n```\n\nThis downloads and installs the package from the [Python Package\nIndex](https://pypi.org).\n\nYou may also install `polt` from the repository root:\n\n```bash\npython3 -m pip install --user .\n```\n\n## Translations\n\nCurrently, the following languages are available:\n\n- English\n- German\n\nIf you are interested in adding another language, just [open a New Issue\n](https://gitlab.com/nobodyinperson/python3-polt/issues/new) and we will get\nyou going.\n\n## Documentation\n\nDocumentation of the `polt` package can be found [here on\nGitLab](https://nobodyinperson.gitlab.io/python3-polt/).\n\nAlso, the command-line help page `polt -h` is your friend.",
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