Installation

Windows:

1. Download Python Anaconda 2.7
2. Open a terminal, nagvigate to the Anaconda installation directory and type conda install numpy, y, exit
3. Grab the basemap package

• Execute basemap-1.0.2_py27.exe
• The destination directory is \Anaconda\Lib\site-packages\basemap

4. To Install CCPLOT:

• Get http://sourceforge.net/projects/ccplot/files/ccplot/ccplot-1.5-rc7.win32-py2.7.exe from http://ccplot.org/
• Run ccplot-1.5-rc7.win32-py2.7.exe
• Browse to Anaconda install directory and install in \Anaconda\Lib\site-packages\
• More information is at http://ccplot.org/

5. Install Eclipse Luna, then once Eclipse is installed and running

• Within Eclipse, go to Help --> Install New Software
  • input PyDev Website (http://pydev.org/updates)
• Under Windows --> Preferences --> PyDev --> Interpretors --> Python
  • "Advanced Auto-Config" or manually find Anaconda

6. Import existing "CALIPSO_Visualizer" package under the file menu

NOTE

• Remember windows must be 32-bit due to dependency requirements

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Linux:

1. Start off by grabbing the SciPy Stack

• sudo apt-get install python-numpy python-scipy python-matplotlib

2. Install Basemap

• sudo apt-get install python-mpltoolkits.basemap

3. Installing CCPLOT

• CCPLOT has quite a bit of dependencies, so run
  • sudo apt-get install --no-intall-recommends cython libhdf4-dev libhdfeos-dev python-imaging ttf-bitstream-vera
• Now CCPLOT must be built yourself, so first grab the source
• Extarct the source anywhere you'd like, the directory does not matter
• cd into the CCPLOT folder
• run python setup.py build
• note if python cannot find HdfEosDef.h
  • run dpkg -L
  • search for the location of HdfEosDef.h, in my case it was located in usr/include/x86_64-linux-gnu/hdf/
  • open setup.py in the CCPLOT folder, and change line 24 to include your path
  • the new line would look like hdf_include_dirs = ['/usr/include/x86_64-linux-gnu/hdf', '/usr/include/hdf', '/usr/local/include/hdf/', '/opt/local/include']
  • rerun python setup.py build with the new modification
• run sudo python setup.py install
• now CCPLOT should be installed. You can also view CCPLOTs installation instructions

4. Install bokeh.color

• sudo pip install bokeh

5. Run the application with python CALIPSO_Visualization_Tool.py

NOTE

• The package list for Linux may not be comprehensive, if any dependencies are missing please create an issue in the bug tracker so we can add them to the install instructions