- #INSTALL PYTHON ON MAC 10.10.5 MAC OS#
- #INSTALL PYTHON ON MAC 10.10.5 INSTALL#
- #INSTALL PYTHON ON MAC 10.10.5 LICENSE#
I need day-to-day image quicklook from the Worked exactly the way I wanted, with the right (for me) mix ofĬomplexity and simplicity. They each doesn’t scratch my itch in some way. (See next sectionįor some links.) But, inevitably as I’ve played with them I’ve found Of which are great and can do much of what I needed. In python there are already a multitude of possible image viewers. Language that could effectively be on every machine I touch, from my They could raise the prices on me massively. History to it that makes the maintenance fees moderate.
#INSTALL PYTHON ON MAC 10.10.5 LICENSE#
It helps that my license has some obscure (To be fair, how much I pay every year to keep my IDL license current Were to avoid IDL licensing issues and being beholden to one company. I’ve written about this choice elsewhere, but some of the basic reasons Things you want when working with typical astronomical image data.Īfter graduate school I began migrating toward python and away from IDL. Incredibly useful for quick-looks at image data, analysis, and all the I even contributed a little to a now-outdated version of In graduate school in the late 1990’s I learnedĮxtensively.
#INSTALL PYTHON ON MAC 10.10.5 INSTALL#
Obviously may need to update exact file path to the pkg.) sudo installer -pkg /Volumes/wxPython3.0-osx-3.0.2.0-cocoa-py2.7/wxPython3.0-osx-cocoa-py2.7.pkg -target /įinally, install ztv: sudo -H pip install ztv
(This is necessary because package isn’t properly signed & is an Open disk image and install with the following command line.Download OS X cocoa version of wxPython version 3 from.Run following command lines in a terminal: curl -o ~/Downloads/get-pip.py Install pip and other necessary python packages.Launch Xcode one time to accept licenses.The following steps worked on a fresh install of OS X Yosemite 10.10.5
#INSTALL PYTHON ON MAC 10.10.5 MAC OS#
If proper FITS header keywords are available, ztv will display theĮxample of installation using Mac OS X’s included Python
Panel is included that generates faked images in the FITS format.) Plots, statistics, and aperture photometry. setting colormap, stretch, and lower/upper limits - doing basic slice sky or dark) and a flat field frame to divide by Input source (FITS file, auto-reload from FITS file, etc) - selecting aįrame to subtract (e.g. Ztv comes with a number of built-in control panels, for: - selecting Intended to produce publication quality figures. Ztv is intended for real-time display and analysis. ItĬan also receive new images via an ActiveMQ message The most recently acquired image by watching a directory for new FITSįiles to appear or watching a single FITS file for when it changes. Loaded in to numpy arrays, as well as FITS Ztv is useful as-is for display and simple analysis of images already Ztv is an astronomical image viewer designed to be used from a python
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