Update docstrings

astropy · Feb 7, 2024 · 4a7dd9d · 4a7dd9d
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diff --git a/specutils/manipulation/model_replace.py b/specutils/manipulation/model_replace.py
@@ -65,7 +65,7 @@ def model_replace(spectrum, replace_region, model=10, extrapolation_treatment='d
     >>> input_spectrum = Spectrum1D(spectral_axis=wave_val * u.AA, flux=flux_val * u.mJy)
     >>> spline_knots = [3.5, 4.7, 6.8, 7.1] * u.AA
     >>> model_replace(input_spectrum, None, spline_knots)
-    <Spectrum1D(flux=<Quantity [ 2.,  4.,  6.,  8., 10., 12., 14., 16., 18., 20.] mJy>, spectral_axis=<SpectralAxis [ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10.] Angstrom>)>
+    <Spectrum1D(flux: <Quantity [ 2.,  4.,  6.,  8., 10., 12., 14., 16., 18., 20.] mJy>, mean=11.00000 mJy; spectral_axis: <SpectralAxis [ 1.  2.  3. ...  8.  9. 10.] Angstrom> (length=10))>
 
     """
     if extrapolation_treatment not in ('data_fill', 'zero_fill'):

diff --git a/specutils/manipulation/resample.py b/specutils/manipulation/resample.py
@@ -74,8 +74,7 @@ class FluxConservingResampler(ResamplerBase):
     >>> resample_grid = [1, 5, 9, 13, 14, 17, 21, 22, 23]  *u.nm
     >>> fluxc_resample = FluxConservingResampler()
     >>> fluxc_resample(input_spectra, resample_grid)  # doctest: +FLOAT_CMP
-    <Spectrum1D(flux=<Quantity [  nan,  3.  ,  6.  ,  7.  ,  6.25, 10.  , 20.  ,   nan,   nan] mJy>, spectral_axis=<SpectralAxis [ 1.,  5.,  9., 13., 14., 17., 21., 22., 23.] nm>)>
-    """
+    <Spectrum1D(flux: <Quantity [  nan,  3.  ,  6.  ,  7.  ,  6.25, 10.  , 20.  ,   nan,   nan] mJy>, mean=8.70833 mJy; spectral_axis: <SpectralAxis [ 1.  5.  9. ... 21. 22. 23.] nm> (length=9))>    """
 
     def _fluxc_resample(self, input_bin_centers, output_bin_centers,
                         input_bin_fluxes, errs):
@@ -323,7 +322,7 @@ class LinearInterpolatedResampler(ResamplerBase):
     >>> resample_grid = [1, 5, 9, 13, 14, 17, 21, 22, 23] * u.nm
     >>> fluxc_resample = LinearInterpolatedResampler()
     >>> fluxc_resample(input_spectra, resample_grid)  # doctest: +FLOAT_CMP
-    <Spectrum1D(flux=<Quantity [ nan, 3.5 , 5.5 , 6.75, 6.5 , 9.5 ,  nan,  nan,  nan] mJy>, spectral_axis=<SpectralAxis [ 1.,  5.,  9., 13., 14., 17., 21., 22., 23.] nm>)>
+    <Spectrum1D(flux: <Quantity [ nan, 3.5 , 5.5 , 6.75, 6.5 , 9.5 ,  nan,  nan,  nan] mJy>, mean=6.35000 mJy; spectral_axis: <SpectralAxis [ 1.  5.  9. ... 21. 22. 23.] nm> (length=9))>
 
     """
     def __init__(self, extrapolation_treatment='nan_fill'):
@@ -399,8 +398,8 @@ class SplineInterpolatedResampler(ResamplerBase):
     >>> resample_grid = [1, 5, 9, 13, 14, 17, 21, 22, 23] * u.nm
     >>> fluxc_resample = SplineInterpolatedResampler()
     >>> fluxc_resample(input_spectra, resample_grid)  # doctest: +FLOAT_CMP
-    <Spectrum1D(flux=<Quantity [       nan, 3.98808594, 6.94042969, 6.45869141, 5.89921875,
-               7.29736328,        nan,        nan,        nan] mJy>, spectral_axis=<SpectralAxis [ 1.,  5.,  9., 13., 14., 17., 21., 22., 23.] nm>)>
+    <Spectrum1D(flux: <Quantity [       nan, 3.98808594, 6.94042969, 6.45869141, 5.89921875,
+               7.29736328,        nan,        nan,        nan] mJy>, mean=6.11676 mJy; spectral_axis: <SpectralAxis [ 1.  5.  9. ... 21. 22. 23.] nm> (length=9))>
 
     """
     def __init__(self, bin_edges='nan_fill'):