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| == Lectures == | This page shall be a central help for ZMAW/KlimaCampus users of Python. Contact LarsKaleschke for permission to edit this page. Please help to fill this page with useful information about Python for climate research and data analysis. <<TableOfContents(2)>> == KlimaCampus Lectures == |
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| == Documentation == | == ZMAW Setting == |
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| * http://www.python.org/doc/ * [[http://www.cfa.harvard.edu/~jbattat/computer/python/science/idl-numpy.html|NumPy for IDL users]] * [[http://www.scipy.org/NumPy_for_Matlab_Users|NumPy for Matlab users]] * [[http://www.tau.ac.il/~kineret/amit/scipy_tutorial/|SciPy tutorial]] == Modules for Scientific Computing and Visualization == === SciPy/NumPy === * http://www.scipy.org/ === pylab === * [[http://matplotlib.sourceforge.net/|Matplotlib/pylab]] Plotting functions with a high degree of Matlab compatibility * [[http://matplotlib.sourceforge.net/basemap/doc/html/]] Matplotlib Basemap To enable Basemap (on ZMAW Linux ia32/x64 and solaris10) you have to type before starting Python2.4.4: {{{ module load Python/2.4.4 }}} or to start Python2.6.2 (recommended): |
Python2.6.2 requires |
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| In Python you can import the Basemap module by | == Documentation and further reading == * http://www.python.org/doc/ Standard documentation * [[http://www.cfa.harvard.edu/~jbattat/computer/python/science/idl-numpy.html|NumPy for IDL users]] * [[http://www.scipy.org/NumPy_for_Matlab_Users|NumPy for Matlab users]] * [[http://www.tau.ac.il/~kineret/amit/scipy_tutorial/|SciPy tutorial]] * [[http://software-carpentry.org/|Software Carpentry]] == Modules for Scientific Computing and Visualization == === SciPy/NumPy === * http://www.scipy.org/ === pylab === * [[http://matplotlib.sourceforge.net/|Matplotlib/pylab]] Plotting functions with a high degree of Matlab compatibility * [[http://matplotlib.sourceforge.net/basemap/doc/html/]] Matplotlib Basemap Import the Basemap module |
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| Calling Fortran code from python is easy! Create a file {{{hello.f}}}: | Calling Fortran code from python is easy! [[/F2PY|Fortran to Python]] Create a file {{{hello.f}}}: |
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| == Python and Climate == * [[http://geosci.uchicago.edu/~rtp1/ClimateBook/ClimateBook.html|Principles of Planetary Climate (RAYMOND T. PIERREHUMBERT)]] * [[http://maths.ucd.ie/~rca/climt/|CliMT: An object-oriented Climate Modeling and diagnostics Toolkit]] * [[http://www2-pcmdi.llnl.gov/cdat|Climate Data Analysis Tools (CDAT)]] |
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| === Installation in the home directory === The seawater module is installed on the ZMAW machines for Python 2.6. Use {{{ module load Python/2.6.2 }}} to set up the environment. In the following it is explained how to install the module for the case if it would be not available or if a different version of python has to be used. Installation of module {{{seawater}}} in directory {{{~/modules}}} {{{ python setup.py install --prefix=~/modules/ }}} Usage {{{ import sys,os home=os.getenv('HOME') genpath=home+'/modules/lib/python2.4/site-packages/' if not sys.path.__contains__(genpath): sys.path.append(genpath) from seawater import * }}} == Download == |
== Download (try this at home) == |
Python at KlimaCampus
This page shall be a central help for ZMAW/KlimaCampus users of Python. Contact LarsKaleschke for permission to edit this page. Please help to fill this page with useful information about Python for climate research and data analysis.
Contents
KlimaCampus Lectures
ZMAW Setting
Python2.6.2 requires
module load R/2.7.0 module load Python/2.6.2
Documentation and further reading
http://www.python.org/doc/ Standard documentation
Modules for Scientific Computing and Visualization
SciPy/NumPy
pylab
Matplotlib/pylab Plotting functions with a high degree of Matlab compatibility
http://matplotlib.sourceforge.net/basemap/doc/html/ Matplotlib Basemap
Import the Basemap module
from mpl_toolkits.basemap import Basemap
GDAL
GDAL - Geospatial Data Abstraction Library for various satellite data formats
To enable GDAL use
module load gdal
from osgeo import gdal
PyNGL PyNio
PyNGL/PyNIO Python interface to NCAR Command Language
- Scientific visualization and data formats (netCDF, HDF, GRIB etc.)
To enable PyNGL (on ZMAW Linux ia32/x64 and solaris10) you have to type
module load PyNGL/1.2.0
Please note, that Nio should be on the top of the list, e.g.
import Nio from osgeo import gdal import pylab as pl
Python Interface to GrADS
RPy
RPy (R from Python) Statistical computing and graphics
F2PY: Fortran to Python interface generator
Calling Fortran code from python is easy!
Create a file hello.f:
C File hello.f
subroutine foo (a)
integer a
print*, "Hello from Fortran!"
print*, "a=",a
endRun f2py -c -m hello hello.f
Now in IPython try:
In [1]: import hello In [2]: hello.foo(4) Hello from Fortran! a= 4
Example taken from
Topical Modules
Seawater is a package for computing properties of seawater (UNESCO 1981 and UNESCO 1983).
Escript/Finley: Fast Finite Elements for Partial Differential Equations
More topical software can be found at http://scipy.org/Topical_Software
Python and Climate
Download (try this at home)
A basic system for scientific computing consists of Python, ipython, numpy/scipy, pylab, and an editor of your choice
Editor (a nice editor for Windows user, if you don't like to install xemacs)
The python(x,y) distribution contains all that above.