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authorAaron LI <aly@aaronly.me>2017-12-05 14:36:11 +0800
committerAaron LI <aly@aaronly.me>2017-12-05 14:36:11 +0800
commit2839ab8caa0b6c07918dd8284ed6703ca663179b (patch)
tree07acb2b413504f6790f39df212494936d6abf411 /astro
parente44ca5fe5a638bd92459e12e6f0c2a864abc813e (diff)
downloadatoolbox-2839ab8caa0b6c07918dd8284ed6703ca663179b.tar.bz2
astro/fitscube.py: "calibrate": change argument --info-out to --save-info
Also improve saved info text file header
Diffstat (limited to 'astro')
-rwxr-xr-xastro/fits/fitscube.py26
1 files changed, 14 insertions, 12 deletions
diff --git a/astro/fits/fitscube.py b/astro/fits/fitscube.py
index c2f9948..a6ecb1d 100755
--- a/astro/fits/fitscube.py
+++ b/astro/fits/fitscube.py
@@ -317,25 +317,26 @@ def cmd_calibrate(args):
print("* %12.4e: %-12.4e %-12.4e %-12.4e %.6f" %
(z, mean[i], std[i], mean_new[i], coef[i]))
- if args.cal_out:
+ if args.save_info:
data = np.column_stack([zvalues, mean, std, mean_new, coef])
header = [
- "Parameters:",
+ "Arguments:",
"+ center: %s" % args.center,
"+ abs: %s" % args.abs,
"+ threshold (percentile): %.2f" % args.threshold,
"+ polynomial_order: %d" % args.poly_order,
"",
"Columns:",
- "+ z/frequency: z-axis position / frequency [%s]" % cube.zunit,
- "+ mean.old: mean before calibration [%s]" % cube.unit,
- "+ std.old: standard deviation before calibration",
- "+ mean.new: mean after calibration",
- "+ gain_coef: calibration coefficient",
+ "1. z/frequency: z-axis position / frequency [%s]" % cube.zunit,
+ "2. mean.old: mean before calibration [%s]" % cube.unit,
+ "3. std.old: standard deviation before calibration",
+ "4. mean.new: mean after calibration",
+ "5. gain_coef: calibration coefficient",
"",
]
- np.savetxt(args.cal_out, data, header="\n".join(header))
- print("Saved calibration data to file: %s" % args.cal_out)
+ infofile = os.path.splitext(args.outfile)[0] + ".txt"
+ np.savetxt(infofile, data, header="\n".join(header))
+ print("Saved calibration information to file: %s" % infofile)
def main():
@@ -412,9 +413,10 @@ def main():
parser_cal.add_argument("-o", "--outfile", dest="outfile",
help="output calibrated FITS cube (optional " +
"for dry-run model)")
- parser_cal.add_argument("-O", "--cal-out", dest="cal_out",
- help="output TXT file to save the calibration " +
- "coefficients for each channel/slice")
+ parser_cal.add_argument("--save-info", dest="save_info",
+ action="store_true",
+ help="save the calibration information of echo " +
+ "channel/slice to a text file")
parser_cal.set_defaults(func=cmd_calibrate)
#
args = parser.parse_args()