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139 lines
4.1 KiB
ReStructuredText
139 lines
4.1 KiB
ReStructuredText
.. _Python:
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**************
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Python Wrapper
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**************
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.. contents:: :depth: 2
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Automatic installation
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======================
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Using the ``pip`` installation program, you can install the official release from the pypi server using::
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pip install CoolProp
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If you dare, you can also try the latest nightly release from :sfnightly:`Python`
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or get it directly from the development server using::
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pip install -vvv --pre --trusted-host www.coolprop.dreamhosters.com --find-links http://www.coolprop.dreamhosters.com/binaries/Python/ -U --force-reinstall CoolProp
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.. For those of you who prefer the Anaconda or Miniconda distributions, you can run::
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conda install -c https://conda.binstar.org/coolprop coolprop
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You can also find our nightly development snapshots on binstar::
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conda install -c https://conda.binstar.org/coolprop/label/dev coolprop
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Manual installation
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===================
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Compilation of the python wrapper requires a few :ref:`common wrapper pre-requisites <wrapper_common_prereqs>`
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On all platforms, if it is not already there, you need Cython to be installed::
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sudo pip install Cython
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Then, follow the commands::
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# Check out the sources for CoolProp
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git clone https://github.com/CoolProp/CoolProp --recursive
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# Move into the folder you just created
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cd CoolProp/wrappers/Python
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# Start the installation
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sudo python setup.py install
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If you would like to install CoolProp just for a given version of Python (for
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example if ``python`` links to ``python3.4`` and you also have a ``python2.7``
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executable), simply use this version of python to execute the ``setup.py``
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script::
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sudo python2.7 setup.py install
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Local installation
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------------------
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If you prefer not to be sudoer when compiling coolprop on Linux/MacOS, you can
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also install it locally using the ``--user`` switch::
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# Check out the sources for CoolProp
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git clone https://github.com/CoolProp/CoolProp --recursive
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# Move into the folder you just created
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cd CoolProp/wrappers/Python
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# Start the installation
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python setup.py install --user
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For Pyzo users
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--------------
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Suppose the directory containing pyzo is on your Desktop in
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``~/Desktop/pyzo2014a/``. Then you can install CoolProp to be used within pyzo
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by following the same lines as above::
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# Check out the sources for CoolProp
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git clone https://github.com/CoolProp/CoolProp --recursive
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# Move into the folder you just created
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cd CoolProp/wrappers/Python
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# Start the installation (~/Desktop/pyzo2014a/ to be changed according to
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# your effective installation)
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sudo ~/Desktop/pyzo2014a/bin/python setup.py install
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Usage
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=====
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There is example code :ref:`at the end of this page <python_example>`
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Once installed, you can use CoolProp for various things:
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* Compute special values in SI units::
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import CoolProp.CoolProp as CP
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fluid = 'Water'
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pressure_at_critical_point = CP.PropsSI(fluid,'pcrit')
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# Massic volume (in m^3/kg) is the inverse of density
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# (or volumic mass in kg/m^3). Let's compute the massic volume of liquid
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# at 1bar (1e5 Pa) of pressure
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vL = 1/CP.PropsSI('D','P',1e5,'Q',0,fluid)
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# Same for saturated vapor
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vG = 1/CP.PropsSI('D','P',1e5,'Q',1,fluid)
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* Get some nice graphs::
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import CoolProp.Plots as CPP
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ph_plot = CPP.PropertyPlot('Water','Ph')
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ph_plot.savefig('enthalpy_pressure_graph_for_Water.png')
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* Solve `thermodynamics exercices`_
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* Make you own `more complex graphs`_ if you feel the graphing interface is lacking something
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* Make even more complex graphs using `3D stuff`_
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.. _thermodynamics exercices: https://github.com/jjfPCSI1/py4phys/blob/master/lib/T6_resolution_cycle_diesel.py
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.. _more complex graphs: https://github.com/jjfPCSI1/py4phys/blob/master/lib/T6_diagramme_Ph_coolprop.py
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.. _3D stuff: https://github.com/CoolProp/CoolProp/blob/master/dev/TTSE/TTSE_ranges.py
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.. _python_example:
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Example Code
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============
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.. literalinclude:: Example.py
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:language: python
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Example Code Output
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===================
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.. literalinclude:: Example.out
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Module Documentation
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====================
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.. toctree::
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../../../apidoc/CoolProp.rst
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