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authorCharles Harris <charlesr.harris@gmail.com>2013-08-18 18:40:28 -0600
committerCharles Harris <charlesr.harris@gmail.com>2013-09-23 15:11:12 -0600
commit3beebbc0164afbbcc2b6840cf56174c6c073bb40 (patch)
tree5eece25d48cd246d78a94e3fcda8c565b6d78258 /numpy/oldnumeric/rng_stats.py
parent2a1705f4932f446c67074e46bd5fa9098920122d (diff)
downloadnumpy-3beebbc0164afbbcc2b6840cf56174c6c073bb40.tar.gz
DEP: Remove deprecated modules numarray and oldnumeric.
They were deprecated in 1.8 and scheduled for removal in 1.9. Closes #3637.
Diffstat (limited to 'numpy/oldnumeric/rng_stats.py')
-rw-r--r--numpy/oldnumeric/rng_stats.py36
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]))