numpy.testing

All Samples(66) | Call(0) | Derive(0) | Import(66)

Common test support for all numpy test scripts.

This single module should provide all the common functionality for numpy tests
in a single location, so that test scripts can just import it and work right
away.

src/m/a/matplotlib-HEAD/py4science/examples/numpytemps.py matplotlib(Download)

#!/usr/bin/env python
"""Demonstration of temporaries in Numpy.
"""
 
import numpy as np
import numpy.testing as nptest

src/m/a/matplotlib-HEAD/py4science/examples/trapezoid.py matplotlib(Download)

# Tests
#-----------------------------------------------------------------------------
import nose, nose.tools as nt
import numpy.testing as nptest
 
# A simple function for testing
def square(x): return x**2

src/s/c/scikits.statsmodels-0.2.0/scikits/statsmodels/examples/example_glsar.py scikits.statsmodels(Download)

'''
 
import numpy as np
import numpy.testing as npt
from scipy import signal
import scikits.statsmodels as sm
from scikits.statsmodels.regression import GLSAR, yule_walker

src/m/a/matplotlib-HEAD/py4science/examples/skel/trapezoid_skel.py matplotlib(Download)

# Tests
#-----------------------------------------------------------------------------
import nose, nose.tools as nt
import numpy.testing as nptest
 
# A simple function for testing
def square(x): return x**2

src/s/c/scikits.statsmodels-0.2.0/scikits/statsmodels/examples/example_ols_tftest.py scikits.statsmodels(Download)

"""
 
import numpy as np
import numpy.testing as npt
import scikits.statsmodels as sm
 
print '\n\n Example 1: Longley Data, high multicollinearity'

src/m/a/matplotlib-HEAD/py4science/examples/pyrex/nnbf/test_nnbf.py matplotlib(Download)

import time
import numpy as np
import nose, nose.tools as nt
import numpy.testing as nptest
 
 
import nnbf

src/m/a/matplotlib-HEAD/py4science/examples/faces/test_imatch.py matplotlib(Download)

 
# Third-party
import numpy as N
import numpy.testing as NT
 
# Our own code
import imatch

src/s/c/scipy-HEAD/scipy/stats/vonmises.py scipy(Download)

import numpy as np
import scipy.stats
from scipy.special import i0
import numpy.testing
 
def von_mises_cdf_series(k,x,p):
    x = float(x)

src/s/c/scipy-0.8.0/scipy/stats/vonmises.py scipy(Download)

import numpy as np
import scipy.stats
from scipy.special import i0
import numpy.testing
 
def von_mises_cdf_series(k,x,p):
    x = float(x)

src/m/a/matplotlib-HEAD/py4science/tools/workshop_checklist.py matplotlib(Download)

def test_loadtxt():
    import numpy as np
    import numpy.testing as npt
 
    # Examples taken from the loadtxt docstring
    array = np.array

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