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author | Aaron LI <aly@aaronly.me> | 2018-08-09 15:59:21 +0800 |
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committer | Aaron LI <aly@aaronly.me> | 2018-08-09 16:02:13 +0800 |
commit | b407c898d7d4725431c747eab3c8d03bca011c75 (patch) | |
tree | fe82cd7262226a3a9aad932ff89ac5cc29d0cdf8 | |
parent | ad95500cb96003f045565e7aa79cf12141f903b6 (diff) | |
download | atoolbox-b407c898d7d4725431c747eab3c8d03bca011c75.tar.bz2 |
astro/fitscube.py: Calculate rms values with "info" sub-command
-rwxr-xr-x | astro/fits/fitscube.py | 42 |
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) |