1 files changed, 0 insertions, 36 deletions
diff --git a/numpy/oldnumeric/rng_stats.py b/numpy/oldnumeric/rng_stats.py
deleted file mode 100644
index dd450343d..000000000
--- a/numpy/oldnumeric/rng_stats.py
+++ /dev/null
@@ -1,36 +0,0 @@
-from __future__ import division, absolute_import, print_function
-
-__all__ = ['average', 'histogram', 'standardDeviation', 'variance']
-
-import numpy.oldnumeric as Numeric
-
-def average(data):
-    data = Numeric.array(data)
-    return Numeric.add.reduce(data)/len(data)
-
-def variance(data):
-    data = Numeric.array(data)
-    return Numeric.add.reduce((data-average(data, axis=0))**2)/(len(data)-1)
-
-def standardDeviation(data):
-    data = Numeric.array(data)
-    return Numeric.sqrt(variance(data))
-
-def histogram(data, nbins, range = None):
-    data = Numeric.array(data, Numeric.Float)
-    if range is None:
-        min = Numeric.minimum.reduce(data)
-        max = Numeric.maximum.reduce(data)
-    else:
-        min, max = range
-        data = Numeric.repeat(data,
-                              Numeric.logical_and(Numeric.less_equal(data, max),
-                                                  Numeric.greater_equal(data,
-                                                                        min)), axis=0)
-    bin_width = (max-min)/nbins
-    data = Numeric.floor((data - min)/bin_width).astype(Numeric.Int)
-    histo = Numeric.add.reduce(Numeric.equal(
-        Numeric.arange(nbins)[:, Numeric.NewAxis], data), -1)
-    histo[-1] = histo[-1] + Numeric.add.reduce(Numeric.equal(nbins, data))
-    bins = min + bin_width*(Numeric.arange(nbins)+0.5)
-    return Numeric.transpose(Numeric.array([bins, histo]))