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author | Aaron LI <aly@aaronly.me> | 2017-11-12 22:49:57 +0800 |
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committer | Aaron LI <aly@aaronly.me> | 2017-11-12 23:05:18 +0800 |
commit | 0ffd1ceef106cd3b54d4b1dd198b4933bfa4e5ae (patch) | |
tree | ae3a7335de4e1a263e7906b5534a92f3e3f4f6f3 /astro | |
parent | 14ae753c7a7afeb81d89247e0f64411414c6959a (diff) | |
download | atoolbox-0ffd1ceef106cd3b54d4b1dd198b4933bfa4e5ae.tar.bz2 |
astro/calc_psd.py: Add bunit to PSD and update ylabel
Diffstat (limited to 'astro')
-rwxr-xr-x | astro/calc_psd.py | 14 |
1 files changed, 11 insertions, 3 deletions
diff --git a/astro/calc_psd.py b/astro/calc_psd.py index 2b57fc9..5a3552d 100755 --- a/astro/calc_psd.py +++ b/astro/calc_psd.py @@ -53,7 +53,8 @@ class PSD: will be calculated for each averaged annulus. If this option is ``True`` then calculate the mean and standard deviation instead. """ - def __init__(self, image, pixel=(1.0, "pixel"), step=None, meanstd=False): + def __init__(self, image, pixel=(1.0, "pixel"), step=None, + meanstd=False, bunit=None): self.image = np.array(image, dtype=float) self.shape = self.image.shape if self.shape[0] != self.shape[1]: @@ -65,6 +66,7 @@ class PSD: raise ValueError("step must be greater than 1") self.meanstd = meanstd + self.bunit = bunit @property @lru_cache() @@ -252,6 +254,11 @@ class PSD: else: label = "median" labelerr = "68% percentile range" + if self.bunit: + ylabel = r"Power [(%s)$^2$]" % self.bunit + else: + ylabel = "Power" + yerr = np.row_stack((self.psd1d_errl, self.psd1d_erru)) ax.errorbar(freqs, self.psd1d, yerr=yerr, fmt="none", label=labelerr) @@ -260,7 +267,7 @@ class PSD: xlim=(xmin, xmax), ylim=(ymin, ymax), title="Radial (Azimuthally Averaged) Power Spectral Density", xlabel=r"k [%s$^{-1}$]" % self.pixel[1], - ylabel="Power") + ylabel=ylabel) ax.legend() if self.pixel[1] != "pixel": @@ -390,7 +397,8 @@ def main(): else: raise ValueError("image has different unit: %s" % bunit2) - psd = PSD(image=image, pixel=pixel, step=args.step, meanstd=args.meanstd) + psd = PSD(image=image, pixel=pixel, step=args.step, + meanstd=args.meanstd, bunit=bunit) psd.calc_psd() psd.save(args.outfile) |