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authorAaron LI <aly@aaronly.me>2018-08-09 15:59:21 +0800
committerAaron LI <aly@aaronly.me>2018-08-09 16:02:13 +0800
commitb407c898d7d4725431c747eab3c8d03bca011c75 (patch)
treefe82cd7262226a3a9aad932ff89ac5cc29d0cdf8 /astro/fits
parentad95500cb96003f045565e7aa79cf12141f903b6 (diff)
downloadatoolbox-b407c898d7d4725431c747eab3c8d03bca011c75.tar.bz2
astro/fitscube.py: Calculate rms values with "info" sub-command
Diffstat (limited to 'astro/fits')
-rwxr-xr-xastro/fits/fitscube.py42
1 files changed, 23 insertions, 19 deletions
diff --git a/astro/fits/fitscube.py b/astro/fits/fitscube.py
index 3eb6999..404425d 100755
--- a/astro/fits/fitscube.py
+++ b/astro/fits/fitscube.py
@@ -278,28 +278,32 @@ def cmd_info(args):
else:
pzunit = ""
zvalues = cube.zvalues
+ nslice = cube.nslice
print("Data cube unit: %s" % cube.unit)
print("Image/slice size: %dx%d" % (cube.width, cube.height))
- print("Number of slices: %d" % cube.nslice)
+ print("Number of slices: %d" % nslice)
print("Slice step/spacing: %s%s" % (cube.zstep, pzunit))
print("Slice positions: %s <-> %s%s" %
(zvalues.min(), zvalues.max(), pzunit))
- if args.meanstd:
- mean = np.zeros(cube.nslice)
- std = np.zeros(cube.nslice)
- for i in range(cube.nslice):
+ if args.stats:
+ mean = np.zeros(nslice)
+ std = np.zeros(nslice)
+ rms = np.zeros(nslice)
+ for i in range(nslice):
image = cube.get_slice(i, csize=args.center)
if args.abs:
image = np.abs(image)
mean[i] = np.mean(image)
std[i] = np.std(image)
- print("Slice <z> <mean> +/- <std>:")
+ rms[i] = np.sqrt(np.mean(image**2))
+ print("Slice <z> <mean> <std> <rms>")
for i, z in enumerate(zvalues):
- print("* %12.4e: %12.4e %12.4e" % (z, mean[i], std[i]))
+ print("* %12.4e: %12.4e %12.4e %12.4e" %
+ (z, mean[i], std[i], rms[i]))
if args.outfile:
- data = np.column_stack([zvalues, mean, std])
- np.savetxt(args.outfile, data, header="z mean std")
- print("Saved mean/std data to file: %s" % args.outfile)
+ data = np.column_stack([zvalues, mean, std, rms])
+ np.savetxt(args.outfile, data, header="z mean std rms")
+ print("Saved statistics data to file: %s" % args.outfile)
def cmd_create(args):
@@ -587,16 +591,16 @@ def main():
# sub-command: "info"
parser_info = subparsers.add_parser("info", help="show FITS cube info")
- parser_info.add_argument("-c", "--center", dest="center", type=int,
- help="crop the central box region of specified " +
- "size to calculate the mean/std.")
- parser_info.add_argument("-m", "--mean-std", dest="meanstd",
- action="store_true",
- help="calculate mean+/-std for each slice")
- parser_info.add_argument("-a", "--abs", dest="abs", action="store_true",
+ parser_info.add_argument("-a", "--abs", action="store_true",
help="take absolute values for image pixels")
- parser_info.add_argument("-o", "--outfile", dest="outfile",
- help="outfile to save mean/std values")
+ parser_info.add_argument("-c", "--center", type=int,
+ help="crop the central box region of specified " +
+ "size to calculate the statistics")
+ parser_info.add_argument("-s", "--stats", action="store_true",
+ help="calculate statistics (mean, std, rms) "
+ "for each slice")
+ parser_info.add_argument("-o", "--outfile",
+ help="outfile to save the statistics")
parser_info.add_argument("infile", help="FITS cube filename")
parser_info.set_defaults(func=cmd_info)