[Scipy-svn] r5396 - in trunk/scipy/stats: . tests
scipy-svn at scipy.org
scipy-svn at scipy.org
Thu Jan 8 07:38:09 EST 2009
Author: cdavid
Date: 2009-01-08 06:38:03 -0600 (Thu, 08 Jan 2009)
New Revision: 5396
Modified:
trunk/scipy/stats/morestats.py
trunk/scipy/stats/stats.py
trunk/scipy/stats/tests/test_stats.py
Log:
Do not use scipy.stats.std anymore.
Modified: trunk/scipy/stats/morestats.py
===================================================================
--- trunk/scipy/stats/morestats.py 2009-01-08 12:37:43 UTC (rev 5395)
+++ trunk/scipy/stats/morestats.py 2009-01-08 12:38:03 UTC (rev 5396)
@@ -502,7 +502,7 @@
xbar = np.mean(x, axis=0)
N = len(y)
if dist == 'norm':
- s = stats.std(x)
+ s = np.std(x, ddof=1, axis=0)
w = (y-xbar)/s
z = distributions.norm.cdf(w)
sig = array([15,10,5,2.5,1])
@@ -520,7 +520,7 @@
val = [sum(1.0/(1+tmp2),axis=0)-0.5*N,
sum(tmp*(1.0-tmp2)/(1+tmp2),axis=0)+N]
return array(val)
- sol0=array([xbar,stats.std(x)])
+ sol0=array([xbar,np.std(x, ddof=1, axis=0)])
sol = optimize.fsolve(rootfunc,sol0,args=(x,N),xtol=1e-5)
w = (y-sol[0])/sol[1]
z = distributions.logistic.cdf(w)
Modified: trunk/scipy/stats/stats.py
===================================================================
--- trunk/scipy/stats/stats.py 2009-01-08 12:37:43 UTC (rev 5395)
+++ trunk/scipy/stats/stats.py 2009-01-08 12:38:03 UTC (rev 5396)
@@ -1304,7 +1304,7 @@
the passed array (i.e., N-1). Axis can equal None (ravel array
first), or an integer (the axis over which to operate).
"""
- warnings.warn("""\
+ raise DeprecationWarning("""\
scipy.stats.std is deprecated; please update your code to use numpy.std.
Please note that:
- numpy.std axis argument defaults to None, not 0
@@ -1321,7 +1321,7 @@
first), or an integer (the axis over which to operate).
"""
a, axis = _chk_asarray(a, axis)
- return std(a,axis) / float(np.sqrt(a.shape[axis]))
+ return np.std(a,axis,ddof=1) / float(np.sqrt(a.shape[axis]))
def sem(a, axis=0):
Modified: trunk/scipy/stats/tests/test_stats.py
===================================================================
--- trunk/scipy/stats/tests/test_stats.py 2009-01-08 12:37:43 UTC (rev 5395)
+++ trunk/scipy/stats/tests/test_stats.py 2009-01-08 12:38:03 UTC (rev 5396)
@@ -109,7 +109,7 @@
assert_almost_equal(y, 5.0)
def test_stdX(self):
- y = stats.std(X)
+ y = np.std(X, ddof=1)
assert_almost_equal(y, 2.738612788)
def test_tmeanX(self):
@@ -129,7 +129,7 @@
assert_almost_equal(y, 0.0)
def test_stdZERO(self):
- y = stats.std(ZERO)
+ y = np.std(ZERO, ddof=1)
assert_almost_equal(y, 0.0)
## Really need to write these tests to handle missing values properly
@@ -147,7 +147,7 @@
assert_almost_equal(y, 99999995.00)
def test_stdBIG(self):
- y = stats.std(BIG)
+ y = np.std(BIG, ddof=1)
assert_almost_equal(y, 2.738612788)
def test_meanLITTLE(self):
@@ -155,7 +155,7 @@
assert_approx_equal(y, 0.999999950)
def test_stdLITTLE(self):
- y = stats.std(LITTLE)
+ y = np.std(LITTLE, ddof=1)
assert_approx_equal(y, 2.738612788e-8)
def test_meanHUGE(self):
@@ -163,7 +163,7 @@
assert_approx_equal(y, 5.00000e+12)
def test_stdHUGE(self):
- y = stats.std(HUGE)
+ y = np.std(HUGE, ddof=1)
assert_approx_equal(y, 2.738612788e12)
def test_meanTINY(self):
@@ -171,7 +171,7 @@
assert_almost_equal(y, 0.0)
def test_stdTINY(self):
- y = stats.std(TINY)
+ y = np.std(TINY, ddof=1)
assert_almost_equal(y, 0.0)
def test_meanROUND(self):
@@ -179,7 +179,7 @@
assert_approx_equal(y, 4.500000000)
def test_stdROUND(self):
- y = stats.std(ROUND)
+ y = np.std(ROUND, ddof=1)
assert_approx_equal(y, 2.738612788)
class TestNanFunc(TestCase):
@@ -213,12 +213,12 @@
def test_nanstd_none(self):
"""Check nanstd when no values are nan."""
s = stats.nanstd(self.X)
- assert_approx_equal(s, stats.std(self.X))
+ assert_approx_equal(s, np.std(self.X, ddof=1))
def test_nanstd_some(self):
"""Check nanstd when some values only are nan."""
s = stats.nanstd(self.Xsome)
- assert_approx_equal(s, stats.std(self.Xsomet))
+ assert_approx_equal(s, np.std(self.Xsomet, ddof=1))
def test_nanstd_all(self):
"""Check nanstd when all values are nan."""
@@ -655,8 +655,8 @@
def test_basic(self):
a = [3,4,5,10,-3,-5,6]
b = [3,4,5,10,-3,-5,-6]
- assert_almost_equal(stats.std(a),5.2098807225172772,11)
- assert_almost_equal(stats.std(b),5.9281411203561225,11)
+ assert_almost_equal(np.std(a, ddof=1),5.2098807225172772,11)
+ assert_almost_equal(np.std(b, ddof=1),5.9281411203561225,11)
def test_2d(self):
a = [[1.0, 2.0, 3.0],
@@ -665,9 +665,8 @@
b1 = array((3.7859388972001824, 5.2915026221291814,
2.0816659994661335))
b2 = array((1.0,2.0,2.64575131106))
- assert_array_almost_equal(stats.std(a),b1,11)
- assert_array_almost_equal(stats.std(a,axis=0),b1,11)
- assert_array_almost_equal(stats.std(a,axis=1),b2,11)
+ assert_array_almost_equal(np.std(a,ddof=1,axis=0),b1,11)
+ assert_array_almost_equal(np.std(a,ddof=1,axis=1),b2,11)
class TestCMedian(TestCase):
@@ -713,7 +712,7 @@
"""
testcase = [1,2,3,4]
def test_std(self):
- y = stats.std(self.testcase)
+ y = np.std(self.testcase, ddof=1)
assert_approx_equal(y,1.290994449)
def test_var(self):
More information about the Scipy-svn
mailing list