Merge pull request #10 from ocefpaf/scipy

Scipy
master
Per A. Brodtkorb 9 years ago
commit bd92802238

@ -1,17 +1,17 @@
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<projectDescription>
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@ -1,5 +1,5 @@
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<pydev_property name="org.python.pydev.PYTHON_PROJECT_VERSION">python 2.7</pydev_property>
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File diff suppressed because it is too large Load Diff

@ -3,7 +3,7 @@ from __future__ import division, print_function, absolute_import
import warnings
import numpy as np
from scipy.lib.six import callable
from scipy._lib.six import callable
def binned_statistic(x, values, statistic='mean',

@ -4,7 +4,7 @@
#
from __future__ import division, print_function, absolute_import
from scipy.lib.six import string_types, exec_
from scipy._lib.six import string_types, exec_
import sys
import keyword
@ -2011,7 +2011,7 @@ class rv_continuous(rv_generic):
return output
def link(self, x, logSF, theta, i):
'''
'''
Return theta[i] as function of quantile, survival probability and
theta[j] for j!=i.
@ -2034,7 +2034,7 @@ class rv_continuous(rv_generic):
theta[i] = link(x, logSF, theta, i),
where logSF = log(Prob(X>x; theta)).
See also
See also
estimation.Profile
'''
return self._link(x, logSF, theta, i)
@ -2288,7 +2288,7 @@ class rv_continuous(rv_generic):
# invert the Hessian matrix (i.e. invert the observed information number)
#pcov = -pinv(H);
return - H
return - H
# return starting point for fit (shape arguments + loc + scale)
def _fitstart(self, data, args=None):

@ -7,7 +7,7 @@ import warnings
import numpy as np
from scipy.lib._version import NumpyVersion
from scipy._lib._version import NumpyVersion
if NumpyVersion(np.__version__) > '1.7.0.dev':
_assert_warns = np.testing.assert_warns

@ -23,7 +23,7 @@ from __future__ import division, print_function, absolute_import
import warnings
# Scipy imports.
from scipy.lib.six import callable, string_types
from scipy._lib.six import callable, string_types
from scipy import linalg, special
from numpy import atleast_2d, reshape, zeros, newaxis, dot, exp, pi, sqrt, \

@ -13,7 +13,7 @@ from numpy import (isscalar, r_, log, sum, around, unique, asarray,
floor, array, poly1d, compress, not_equal, pi, exp, ravel, angle)
from numpy.testing.decorators import setastest
from scipy.lib.six import string_types
from scipy._lib.six import string_types
from ._numpy_compat import count_nonzero
from scipy import optimize
from scipy import special
@ -2066,7 +2066,7 @@ def median_test(*args, **kwds):
References
----------
.. [1] Mood, A. M., Introduction to the Theory of Statistics. McGraw-Hill
(1950), pp. 394-399.
(1950), pp. 394-399.
.. [2] Zar, J. H., Biostatistical Analysis, 5th ed. Prentice Hall (2010).
See Sections 8.12 and 10.15.
@ -2100,7 +2100,7 @@ def median_test(*args, **kwds):
[11, 5, 10]])
`p` is too large to conclude that the medians are not the same:
>>> p
0.12609082774093244
@ -2120,7 +2120,7 @@ def median_test(*args, **kwds):
>>> tbl
array([[ 5, 11, 9],
[11, 4, 8]])
[11, 4, 8]])
This example demonstrates that if the data set is not large and there
are values equal to the median, the p-value can be sensitive to the

@ -40,7 +40,7 @@ from numpy import ndarray
import numpy.ma as ma
from numpy.ma import masked, nomask
from scipy.lib.six import iteritems
from scipy._lib.six import iteritems
import itertools
import warnings

@ -171,13 +171,13 @@ from __future__ import division, print_function, absolute_import
import warnings
import math
from scipy.lib.six import xrange
from scipy._lib.six import xrange
# friedmanchisquare patch uses python sum
pysum = sum # save it before it gets overwritten
# Scipy imports.
from scipy.lib.six import callable, string_types
from scipy._lib.six import callable, string_types
from numpy import array, asarray, ma, zeros, sum
import scipy.special as special
import scipy.linalg as linalg

@ -6,7 +6,7 @@ import warnings
import numpy as np
import numpy.testing as npt
from scipy.lib._version import NumpyVersion
from scipy._lib._version import NumpyVersion
from wafo import stats

@ -2,7 +2,7 @@ from __future__ import division, print_function, absolute_import
import numpy.testing as npt
import numpy as np
from scipy.lib.six import xrange
from scipy._lib.six import xrange
from wafo import stats
from wafo.stats.tests.common_tests import (check_normalization, check_moment,

@ -15,7 +15,7 @@ from nose import SkipTest
import numpy
import numpy as np
from numpy import typecodes, array
from scipy.lib._version import NumpyVersion
from scipy._lib._version import NumpyVersion
from scipy import special
import wafo.stats as stats
from wafo.stats._distn_infrastructure import argsreduce
@ -512,7 +512,7 @@ class TestGenpareto(TestCase):
assert_allclose(rv.logpdf(1), 0)
def test_x_inf(self):
# make sure x=inf is handled gracefully
# make sure x=inf is handled gracefully
rv = stats.genpareto(c=0.1)
assert_allclose([rv.pdf(np.inf), rv.cdf(np.inf)], [0., 1.])
assert_(np.isneginf(rv.logpdf(np.inf)))

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