It implements a useful collection of psychrometric equations for moisture and humid air calculations, and the generation of beautiful and high customizable psychrometric charts in SVG with matplotlib.
Calculations are made by implementing experimental equations extracted from recognized sources, such as the 2009 ASHRAE Handbook—Fundamentals (SI).
Install
Clone it from Github if you want to run the tests, or simply:
pip install psychrochartFeatures
SI units (with temperatures in celsius for better readability).
Easy style customization with a JSON template (colors, line styles and line widths).
Psychrometric charts within temperature and humidity ratio ranges, for any pressure, with:
Saturation line
Constant RH lines
Constant enthalpy lines
Constant wet-bulb temperature lines
Constant specific volume lines
Constant dry-bulb temperature lines (internal orthogonal grid, vertical)
Constant humidity ratio lines (internal orthogonal grid, horizontal)
Plot legend for each family of lines
Specify labels for each family of lines
Overlay points and zones
Export SVG files
Tested against example tables from http://www.engineeringtoolbox.com
100 % code coverage.
The ranges of temperature, humidity and pressure where this library should provide good results are within the normal environments for people to live in. Don’t expect right results if doing other type of thermodynamic calculations. Over saturated water vapor states are not implemented.
Changelog
v0.1.0: Initial version.
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).
v0.1.2: Add agg module to set that matplotlib backend.
v0.1.3: Add custom params for plotting styles, option to exclude first and last tick (constant_{humid/temp}_label_include_limits).
v0.1.4: Customize labels and its locations for families of psychrometric curves.
Usage
from psychrochart.chart import PsychroChart
# Load default style:
chart_default = PsychroChart()
axes = chart_default.plot()Tests
To run the tests, clone the repository and run:
py.test --cov=psychrochart -v --cov-report htmlto generate the coverage reports.
License
MIT license, so do with it as you like ;-)
1 maintainer
Metadata
1 maintainer
Release files for psychrochart 0.1.4
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| psychrochart-0.1.4.tar.gz | 19.4 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| psychrochart-0.1.4-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 42.1 kB
Release files / psychrochart-0.1.4.tar.gz
| Download URL | psychrochart-0.1.4.tar.gz |
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| Size | 19.4 kB |
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| Size | 22.7 kB |
| Tags | Python 2 Python 3 |
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