File: nan_ops_for_numpy.py

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### Note, these are placeholder solutions

# Since this module is meant to offer safety wrappers around some numpy
# functions, if we can't import numpy, then gracefully handle the import error
# and define stubs.

try:
    from numpy import amin, amax, mean, median, reshape, asarray, isnan, \
                      compress, isfinite, where, inf

    def _asarray1d(arr):
        """ Ensure 1d array for one array.
        """
        m = asarray(arr)
        if len(m.shape)==0:
            m = reshape(m,(1,))
        return m


    def nanmin(x,axis=-1):
        """ Find the minimium over the given axis ignoring nans.
        """
        y = where(isnan(x), inf, x)
        return amin(y,axis)

    def nanmax(x,axis=-1):
        """ Find the maximum over the given axis ignoring nans.
        """
        y = where(isnan(x), -inf, x)
        return amax(-1,axis)

    def nanmean(x):
        """ Find the mean of x ignoring nans.
        
            fixme: should be fixed to work along an axis.
        """
        x = _asarray1d(x).copy()
        y = compress(isfinite(x), x)
        return mean(y)

    def nanmedian(x):
        """ Find the median over the given axis ignoring nans.

            fixme: should be fixed to work along an axis.
        """
        x = _asarray1d(x).copy()
        y = compress(isfinite(x), x)
        return median(y)

except ImportError:

    _asarray1d = nanmin = nanmax = nanmean = nanmedian = None