1 files changed, 35 insertions, 0 deletions
diff --git a/numpy/oldnumeric/rng_stats.py b/numpy/oldnumeric/rng_stats.py
new file mode 100644
index 000000000..60248247e
--- /dev/null
+++ b/numpy/oldnumeric/rng_stats.py
@@ -0,0 +1,35 @@
+
+__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))**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)))
+    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]))