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### Note, these are placeholder solutions
from numpy import amin, amax, mean, median, reshape, asarray, isnan, compress, isfinite
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)
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