W. eWatson wrote:
tom wrote:
W. eWatson wrote:
The other night I surveyed a site for astronomical use by measuring the altitude (0-90 degrees above the horizon) and az (azimuth, 0 degrees north clockwise around the site to 360 degrees, almost north again) of obstacles, trees. My purpose was to feed this profile of obstacles (trees) to an astronomy program that would then account for not sighting objects below the trees.

When I got around to entering them into the program by a file, I found it required the alt at 360 azimuth points in order from 0 to 360 (same as 0). Instead I have about 25 points, and expected the program to be able to do simple linear interpolation between those.

Is there some simple operational device in Python that would allow me to create an array (vector) of 360 points from my data by interpolating between azimuth points when necessary? All my data I rounded to the nearest integer. Maybe there's an interpolation operator?

As an example, supposed I had made 3 observations: (0,0) (180,45) and (360,0). I would want some thing like (note the slope of the line from 0 to 179 is 45/180 or 0.25):
alt: 0, 0.25, 0.50, 0.75, ... 44.75, 45.0
az : 0, 1,    2,    3,              180

Of course, I don't need the az.



If I understand you right, I think using interpolation as provided by scipy would do what you need.

Here's an example:

from scipy.interpolate.interpolate import interp1d

angles = [0, 22, 47.5, 180, 247.01, 360]
altitudes = [18, 18, 26, 3, 5, 18]

desired_angles = range(0, 361)

skyline = interp1d(angles, altitudes, kind="linear")
vals = skyline(desired_angles)

# that is, vals will be the interpolated altitudes at each of the
# desired angles.

if 1:  # plot this out with matplotlib
    import pylab as mx
    mx.figure()
    mx.plot(angles, altitudes, 'x')
    mx.plot(desired_angles, vals)
    mx.show()
I decided this morning and roll up my sleeves and write the program. I plan to take a deeper plunge in the next month than my so far erratic look over the last 18 or more months It's working.

The above looks like it's on the right track. Is scipy some collection of astro programs? mx is a graphics character plot?

I just hauled it into IDLE and tried executing it.
    from scipy.interpolate.interpolate import interp1d
ImportError: No module named scipy.interpolate.interpolate

Apparently, something is missing.

I posted a recent msg a bit higher that will probably go unnoticed, so I'll repeat most of it. How do I get my py code into some executable form so that Win users who don't have python can execute it?



Both scipy and matplotlib are not part of the standard Python distribution so they would need to be installed separately. Scipy is useful for scientific data analysis, and matplotlib is useful for making plots.

Since you want to wrap everything into a Windows executable, it's probably easiest for you not to use scipy. At the least, I suspect it would make your executable file much larger, but I've never made a Windows executable so I don't know the details.

As for making an executable, I'm not the one to ask, but googling leads to this:
http://effbot.org/pyfaq/how-can-i-create-a-stand-alone-binary-from-a-python-script.htm
which looks like a good place to start.

Tom

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