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Flip the movie frames when RA or DEC are inverted #10

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Flip the movie frames when RA or DEC are inverted #10

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29 changes: 28 additions & 1 deletion k2mosaic/movie.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@

from astropy import visualization
import fitsio
from astropy.wcs import WCS
import imageio
import numpy as np

Expand All @@ -23,6 +24,29 @@ class KeplerMosaicMovieFrame(object):
def __init__(self, fits_filename):
self.fits_filename = fits_filename

def flip_frame(self, image, wcs):
"""Flips the image if the RA or DEC axes are inverted

Parameters
----------
image : array
Frame to be shown in the output movie.

wcs : WCS
Object containing information about the WCS transformation and
distortion. The header keywords are copied from the available K2
FFI's.
"""
ra_0, dec_0 = wcs.all_pix2world(0, 0, 0)
ra_1, dec_1 = wcs.all_pix2world(*(image.shape+(0,)))
if ra_0 < ra_1:
# Reverse the array in RA
image = image[:,::-1]
if dec_1 < dec_0:
# Reverse the array in DEC
image = image[::-1,:]
return image

def to_fig(self, rowrange, colrange, extension=1, cmap='Greys_r', cut=None, dpi=50):
"""Turns a fits file into a cropped and contrast-stretched matplotlib figure."""
fts = fitsio.FITS(self.fits_filename)
Expand All @@ -35,13 +59,16 @@ def to_fig(self, rowrange, colrange, extension=1, cmap='Greys_r', cut=None, dpi=
image_scaled = visualization.scale_image(image, scale="log",
min_cut=cut[0], max_cut=cut[1]) #min_percent=0.5, max_percent=99.5)

wcs = WCS(fts[extension].header)

px_per_kepler_px = 20
dimensions = [image.shape[0] * px_per_kepler_px, image.shape[1] * px_per_kepler_px]
figsize = [dimensions[1]/dpi, dimensions[0]/dpi]
dpi = 440 / float(figsize[0])
fig = pl.figure(figsize=figsize, dpi=dpi)
ax = fig.add_subplot(1, 1, 1, axisbg='green')
ax.matshow(image_scaled, aspect='auto',
ax.matshow(self.flip_frame(image_scaled, wcs),
aspect='auto',
cmap=cmap, origin='lower',
interpolation='nearest')
ax.set_xticks([])
Expand Down