Few cleaning/formatting fixes

ChileanVirtualObservatory · Dec 16, 2016 · dcdc871 · dcdc871
1 parent acde689
commit dcdc871
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diff --git a/acalib/core/analysis.py b/acalib/core/analysis.py
@@ -407,81 +407,3 @@ def vel_stacking(data,data_slice, wcs=None, mask=None,uncertainty=None, meta=Non
     wcs = wcs.dropaxis(2)
 
     return NDData(stacked, uncertainty=uncertainty, mask=mask,wcs=wcs, meta=meta, unit=unit)
-
-
-### DEPRECATED ####
-
-
-# def ndslice(ndd, lower, upper):
-#    """
-#    N-Dimensional slicing.
-#
-#    Arguments:
-#        ndd   -- an astropy.nddata.NDDataArray object.
-#        lower -- n-dimensional point as an n-tuple.
-#        upper -- n-dimensional point as an n-tuple.
-#
-#    Returns:
-#        A sliced astropy.nddata.NDDataArray object.
-#
-#    """
-#    lower = lower if lower is not None else np.zeros(ndd.ndim)
-#    upper = upper if upper is not None else ndd.shape
-#    return ndd[[slice(min(a,b), max(a,b)+1) for a,b in zip(lower, upper)]]
-#
-# def adjust_index(relative, origin):
-#    """
-#    Adjusts an index relative to a subarray to an absolute
-#    index in the superarray.
-#
-#    Arguments:
-#        origin   -- an n-dimensional index of a point as an n-tuple.
-#                    It should be the origin from which the relative
-#                    index was computed.
-#        relative -- an n-dimensional index of a point as an n-tuple.
-#                    The index to be adjusted.
-#
-#    Returns:
-#        The relative index adjusted to the superarray as an n-tuple.
-#    """
-#    return tuple(np.array(origin) + np.array(relative))
-
-# def index_of_max(ndd, lower=None, upper=None):
-#    """
-#    Index of maximum value in an m-dimensional subarray from
-#    an n-dimensional array, specified by lower and upper.
-#
-#    Arguments:
-#        ndd   -- an astropy.nddata.NDDataArray object.
-#        lower -- n-dimensional point as an n-tuple.
-#        upper -- n-dimensional point as an n-tuple.
-#
-#    Returns:
-#        A tuple with the maximum value found in the m-dimensional
-#        subarray and its index in the n-dimensional superarray.
-#
-#    """
-#    ndd = ndslice(ndd, lower, upper)
-#    index = np.unravel_index(ndd.data.argmax(), ndd.data.shape)
-#    value = ndd.data[index]
-#    return (value, adjust_index(index, lower))
-
-# def index_of_min(ndd, lower=None, upper=None):
-#    """
-#    Index of minimum value in an m-dimensional subarray from
-#    an n-dimensional array, specified by lower and upper.
-#
-#    Arguments:
-#        ndd   -- an astropy.nddata.NDDataArray object.
-#        lower -- n-dimensional point as an n-tuple.
-#        upper -- n-dimensional point as an n-tuple.
-#
-#    Returns:
-#        A tuple with the minimum value found in the m-dimensional
-#        subarray and its index in the n-dimensional superarray.
-#
-#    """
-#    ndd = ndslice(ndd, lower, upper)
-#    index = np.unravel_index(ndd.data.argmin(), ndd.data.shape)
-#    value = ndd.data[index]
-#    return (value, adjust_index(index, lower))