{ "info": { "author": "Eugenio Panadero", "author_email": "eugenio.panadero@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Scientific/Engineering :: Physics", "Topic :: Scientific/Engineering :: Visualization" ], "description": "\nIt implements a useful collection of\n`psychrometric `_ equations for\nmoisture and humid air calculations, and the generation of beautiful and high\ncustomizable **psychrometric charts in SVG** with ``matplotlib``.\n\nCalculations are made by implementing experimental equations extracted from\nrecognized sources, such as the *2009 ASHRAE Handbook\u2014Fundamentals (SI)*.\n\nInstall\n-------\n\n**Clone it** `from Github `_ if\nyou want to run the tests, or simply:\n\n.. code:: bash\n\n pip install psychrochart\n\nFeatures\n--------\n\n- **SI** units (with temperatures in celsius for better readability).\n- Easy style customization with a **JSON template** (colors, line styles\n and line widths).\n- Psychrometric charts within temperature and humidity ratio ranges,\n for any pressure, with:\n\n - **Saturation line**\n - **Constant RH lines**\n - **Constant enthalpy lines**\n - **Constant wet-bulb temperature lines**\n - **Constant specific volume lines**\n - **Constant dry-bulb temperature lines** (internal orthogonal grid, vertical)\n - **Constant humidity ratio lines** (internal orthogonal grid, horizontal)\n\n- Plot legend for each family of lines\n- Specify labels for each family of lines\n- **Overlay points and zones**\n- **Export SVG files**\n- Tested against example tables from http://www.engineeringtoolbox.com\n- ~100 % code coverage.\n\nThe ranges of temperature, humidity and pressure where this library should\nprovide good results are within the normal environments for people to live in.\nDon't expect right results if doing other type of thermodynamic calculations.\nOver saturated water vapor states are not implemented.\n\nChangelog\n^^^^^^^^^\n\n- **v0.1.0**: Initial version.\n- **v0.1.1**: Minor plotting fixes, set axis position, define P with ``altitude_m`` or ``pressure_kpa``, reuse plot removing annotations (``chart.remove_annotations``). Axes as internal prop, lazy plotting, save to disk helper (``chart.save``).\n- **v0.1.2**: Add ``agg`` module to set that ``matplotlib`` backend.\n- **v0.1.3**: Add custom params for plotting styles, option to exclude first and last tick (``constant_{humid/temp}_label_include_limits``).\n- **v0.1.4**: Customize labels and its locations for families of psychrometric curves.\n- **v0.1.5**: Add Arrows, compatibility with the Home Assistant component `psychrometrics`.\n- **v0.1.6**: Some cleaning, better typing, flake8, added `tox.ini`.\n- **v0.1.7**: Methods to clean the plot (`.close_fig()`) and to remove the legend (`.remove_legend()`).\n- **v0.1.8**: Memleak with `savefig`.\n- **v0.1.10**: Fix plot limits, do not use pyplot, axes are not optional.\n- **v0.1.11**: Add optional `Axes` as argument for `PsychroChart.plot`.\n- **v0.1.12**: Add empiric equation for wet bulb temperature (@ZhukovGreen contribution).\n- **v0.2.0**: Hide output in verbose mode, better convex hull zones syntax, stable.\n- **v0.2.1**: Make `scipy` an optional requirement (it's only used for the ConvexHull zone).\n- **v0.2.2**: Fix initial conditions for iteration solvers.\n- **v0.2.3**: Handle ConvexHull exception, overlay of series of points.\n- **v0.2.4**: Set ASHRAE formulation for `saturation_pressure_water_vapor` as default. Minimal adjustments to iteration solvers for enthalpy and specific volume.\n- **v0.2.5**: Fix coefficient in ASHRAE formulation for `dew_point_temperature`.\n\nUsage\n-----\n\n.. code:: python\n\n from psychrochart.chart import PsychroChart\n import matplotlib.pyplot as plt\n\n axes = PsychroChart().plot(ax=plt.gca())\n plt.show()\n\n\nTests\n-----\n\nTo run the tests, clone the repository and run:\n\n.. code:: bash\n\n py.test --cov=psychrochart -v --cov-report html\n\nto generate the coverage reports.\n\nLicense\n-------\n\n`MIT license `_, so do with it as you like ;-)\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/azogue/psychrochart", "keywords": "psychrometrics,moist,humid air,climate control,matplotlib", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "psychrochart", "package_url": "https://pypi.org/project/psychrochart/", 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