Added from __future__ import absolute_import +pep8

wafo/containers.py

@@ -1,8 +1,8 @@
-from __future__ import absolute_import
+from __future__ import absolute_import, division, print_function
 import warnings
 from wafo.graphutil import cltext
 from wafo.plotbackend import plotbackend as plt
-from time import gmtime, strftime
+from wafo.misc import now
 import numpy as np
 from scipy.integrate.quadrature import cumtrapz  # @UnresolvedImport
 from scipy import interpolate
@@ -17,21 +17,22 @@ def empty_copy(obj):
         def __init__(self):
             pass
     newcopy = Empty()
+    # pylint: disable=attribute-defined-outside-init
     newcopy.__class__ = obj.__class__
     return newcopy
 
 
-def now():
-    '''
-    Return current date and time as a string
-    '''
-    return strftime("%a, %d %b %Y %H:%M:%S", gmtime())
+def _set_seed(iseed):
+    if iseed is not None:
+        try:
+            np.random.set_state(iseed)
+        except ValueError:
+            np.random.seed(iseed)
 
 
 class PlotData(object):
 
-    '''
-    Container class for data with interpolation and plotting methods
+    """Container class for data with interpolation and plotting methods.
 
     Member variables
     ----------------
@@ -69,7 +70,7 @@ class PlotData(object):
     >>> h = d3.plot() # plot data, CI red dotted line
     >>> h = d3.plot(plot_args_children=['b--']) # CI with blue dashed line
 
-    '''
+    """
 
     def __init__(self, data=None, args=None, **kwds):
         self.data = data
@@ -92,8 +93,7 @@ class PlotData(object):
         return newcopy
 
     def eval_points(self, *points, **kwds):
-        '''
-        Interpolate data at points
+        """Interpolate data at points.
 
         Parameters
         ----------
@@ -136,7 +136,8 @@ class PlotData(object):
         See also
         --------
         scipy.interpolate.griddata
-        '''
+
+        """
         options = dict(method='linear')
         options.update(**kwds)
         if isinstance(self.args, (list, tuple)):  # Multidimensional data

wafo/graphutil.py

@@ -5,12 +5,12 @@ Created on 20. jan. 2011
 
 license BSD
 '''
-from __future__ import absolute_import, division
+from __future__ import absolute_import, division, print_function
 import warnings
 import numpy as np
 from .plotbackend import plotbackend
 from matplotlib import mlab
-__all__ = ['cltext', 'tallibing', 'test_docstrings']
+__all__ = ['cltext', 'epcolor', 'tallibing', 'test_docstrings']
 
 _TALLIBING_GID = 'TALLIBING'
 _CLTEXT_GID = 'CLTEXT'
@@ -108,9 +108,11 @@ def cltext(levels, percent=False, n=4, xs=0.036, ys=0.94, zs=0, figure=None,
     >>> import wafo.demos as wd
     >>> import pylab as plt
     >>> x,y,z  = wd.peaks();
+    >>> h = plt.contour(x,y,z)
+    >>> h = wg.cltext(h.levels)
+
+    >>> plt.close('all')
 
-    h = plt.contour(x,y,z)
-    h = wg.cltext(h.levels)
     plt.show()
     '''
     # TODO : Make it work like legend does (but without the box): include
@@ -142,7 +144,6 @@ def cltext(levels, percent=False, n=4, xs=0.036, ys=0.94, zs=0, figure=None,
         titletxt = 'Level curves enclosing:'
     else:
         titletxt = 'Level curves at:'
-
     format_ = '%0.' + ('%d' % n) + 'g\n'
 
     cltxt = ''.join([format_ % level for level in clevels.tolist()])
@@ -196,9 +197,10 @@ def tallibing(*args, **kwds):
     >>> import wafo.graphutil as wg
     >>> import wafo.demos as wd
     >>> [x,y,z] = wd.peaks(n=20)
+    >>> h = wg.pcolor(x,y,z)
+    >>> h = wg.tallibing(x,y,z)
 
-    h0 = wg.pcolor(x,y,z)
-    h1 = wg.tallibing(x,y,z)
+    pcolor(x,y,z); shading interp;
 
     See also
     --------

wafo/kdetools/demo.py

@@ -246,7 +246,6 @@ def kreg_demo1(hs=None, fast=True, fun='hisj'):
     plt.plot(x, y2[0], 'm', label='statsmodel')
 
     plt.legend()
-    # plt.show()
 
     # print(kreg.tkde.tkde._inv_hs)
     # print(kreg.tkde.tkde.hs)

wafo/kdetools/gridding.py

@@ -3,7 +3,7 @@ Created on 15. des. 2016
 
 @author: pab
 '''
-from __future__ import division
+from __future__ import absolute_import, division, print_function
 from scipy import sparse
 import numpy as np
 from wafo.testing import test_docstrings
@@ -181,10 +181,10 @@ def accum(accmap, a, func=None, shape=None, fill_value=0, dtype=None):
 
     def create_array_of_python_lists(accmap, a, shape):
         vals = np.empty(shape, dtype='O')
-        for s in product(*[range(k) for k in shape]):
+        for s in product(*[np.arange(k) for k in shape]):
             vals[s] = []
 
-        for s in product(*[range(k) for k in a.shape]):
+        for s in product(*[np.arange(k) for k in a.shape]):
             indx = tuple(accmap[s])
             val = a[s]
             vals[indx].append(val)
@@ -216,7 +216,7 @@ def accum(accmap, a, func=None, shape=None, fill_value=0, dtype=None):
 
     # Create the output array.
     out = np.empty(shape, dtype=dtype)
-    for s in product(*[range(k) for k in shape]):
+    for s in product(*[np.arange(k) for k in shape]):
         if vals[s] == []:
             out[s] = fill_value
         else:

wafo/kdetools/kdetools.py

@@ -10,12 +10,12 @@
 # Licence:     LGPL
 # -------------------------------------------------------------------------
 
-from __future__ import absolute_import, division
+from __future__ import absolute_import, division, print_function
 # from abc import ABCMeta, abstractmethod
 import copy
 import warnings
 import numpy as np
-import scipy.stats
+import scipy.stats as st
 from scipy import interpolate, linalg, special
 from numpy import sqrt, atleast_2d, meshgrid
 from numpy.fft import fftn, ifftn
@@ -64,12 +64,15 @@ class _KDE(object):
         self.xmax = xmax
         self.kernel = kernel if kernel else Kernel('gauss')
 
+        self.args = None
+
     @property
     def inc(self):
         return self._inc
 
     @inc.setter
     def inc(self, inc):
+        # pylint: disable=attribute-defined-outside-init
         self._inc = inc
 
     @property
@@ -78,6 +81,7 @@ class _KDE(object):
 
     @dataset.setter
     def dataset(self, data):
+        # pylint: disable=attribute-defined-outside-init
         self._dataset = atleast_2d(data)
 
     @property
@@ -103,6 +107,7 @@ class _KDE(object):
     def xmin(self, xmin):
         if xmin is None:
             xmin = self.dataset.min(axis=-1) - 2 * self.sigma
+        # pylint: disable=attribute-defined-outside-init
         self._xmin = self._check_xmin(xmin*np.ones(self.d))
 
     def _check_xmin(self, xmin):
@@ -116,7 +121,7 @@ class _KDE(object):
     def xmax(self, xmax):
         if xmax is None:
             xmax = self.dataset.max(axis=-1) + 2 * self.sigma
-
+        # pylint: disable=attribute-defined-outside-init
         self._xmax = self._check_xmax(xmax * np.ones(self.d))
 
     def _check_xmax(self, xmax):
@@ -174,7 +179,7 @@ class _KDE(object):
             c_levels = qlevels(wdata.data, p=p_levels)
             wdata.clevels = c_levels
             wdata.plevels = p_levels
-        except Exception as e:
+        except ValueError as e:
             msg = "Could not calculate contour levels!. ({})".format(str(e))
             warnings.warn(msg)
 
@@ -459,7 +464,7 @@ class TKDE(_KDE):
         f = self._scale_pdf(tf, points)
         return f
 
-    def _eval_points(self, points):
+    def _eval_points(self, points, **kwds):
         """Evaluate the estimated pdf on a set of points.
 
         Parameters
@@ -633,6 +638,7 @@ class KDE(_KDE):
         if h is None:
             h = self.kernel.get_smoothing(self.dataset)
         h = self._check_hs(h)
+        # pylint: disable=attribute-defined-outside-init
         self._inv_hs, deth = self._invert_hs(h)
         self._norm_factor = deth * self.n
         self._hs = h
@@ -649,6 +655,7 @@ class KDE(_KDE):
             L1 = 10
             inc = max(48, (L1 * xyzrange / (tau * self.hs)).max())
             inc = 2 ** nextpow2(inc)
+        # pylint: disable=attribute-defined-outside-init
         self._inc = inc
 
     @property
@@ -657,6 +664,7 @@ class KDE(_KDE):
 
     @alpha.setter
     def alpha(self, alpha):
+        # pylint: disable=attribute-defined-outside-init
         self._alpha = alpha
         self._lambda = np.ones(self.n)
         if alpha > 0:
@@ -881,6 +889,8 @@ class KRegression(object):
         self.y = np.atleast_1d(y)
         self.p = p
 
+        self._grdfun = None
+
     def eval_grid_fast(self, *args, **kwds):
         self._grdfun = self.tkde.eval_grid_fast
         return self.tkde.eval_grid_fun(self._eval_gridfun, *args, **kwds)
@@ -941,6 +951,7 @@ class BKRegression(object):
             hs1 = self._get_max_smoothing('hste')[0]
             hs2 = self._get_max_smoothing('hos')[0]
             hs_e = sqrt(hs1 * hs2)
+        # pylint: disable=attribute-defined-outside-init
         self._hs_e = hs_e
 
     def _set_smoothing(self, hs):
@@ -997,7 +1008,6 @@ class BKRegression(object):
         # Jeffreys intervall a=b=0.5
         # st.beta.isf(alpha/2, y+a, n-y+b) y = n*p, n-y = n*(1-p)
         a, b = self.a, self.b
-        st = scipy.stats
         pup = np.where(p == 1, 1,
                        st.beta.isf(alpha / 2, n * p + a, n * (1 - p) + b))
         plo = np.where(p == 0, 0,

wafo/kdetools/kernels.py

@@ -3,7 +3,7 @@ Created on 15. des. 2016
 
 @author: pab
 '''
-from __future__ import division
+from __future__ import absolute_import, division, print_function
 from abc import ABCMeta, abstractmethod
 import warnings
 import numpy as np
@@ -16,6 +16,7 @@ from wafo.misc import tranproc  # , trangood
 from wafo.kdetools.gridding import gridcount
 from wafo.dctpack import dct
 from wafo.testing import test_docstrings
+from six import with_metaclass
 
 __all__ = ['Kernel', 'sphere_volume', 'qlevels', 'iqrange', 'percentile']
 
@@ -260,8 +261,7 @@ def sphere_volume(d, r=1.0):
     return (r ** d) * 2.0 * pi ** (d / 2.0) / (d * gamma(d / 2.0))
 
 
-class _Kernel(object):
-    __metaclass__ = ABCMeta
+class _Kernel(with_metaclass(ABCMeta)):
 
     def __init__(self, r=1.0, stats=None, name=''):
         self.r = r  # radius of effective support of kernel
@@ -907,14 +907,16 @@ class Kernel(object):
 
             x = np.linspace(0, 0.1, 150)
             ai = x[0]
+            bi = x[1]
             f0 = fixed_point(ai, N, I, a2)
-            for bi in x[1:]:
+            for xi in x[1:]:
+                bi = xi
                 f1 = fixed_point(bi, N, I, a2)
                 if f1 * f0 <= 0:
                     # print('ai = %g, bi = %g' % (ai,bi))
                     break
                 else:
-                    ai = bi
+                    ai = xi
 
             # use  fzero to solve the equation t=zeta*gamma^[5](t)
             try:

wafo/kdetools/tests/conftest.py

@@ -1,12 +1,11 @@
 #!/usr/bin/env python
-# -*- coding: utf-8 -*-
 """
-    Dummy conftest.py for wafo.
+    Dummy conftest.py for kdetools.
 
     If you don't know what this is for, just leave it empty.
     Read more about conftest.py under:
     https://pytest.org/latest/plugins.html
 """
 from __future__ import print_function, absolute_import, division
-
+# pylint: disable=unused-import
 import pytest  # @UnusedImport

wafo/kdetools/tests/test_gridding.py

@@ -3,7 +3,7 @@ Created on 23. des. 2016
 
 @author: pab
 '''
-from __future__ import division
+from __future__ import absolute_import, division, print_function
 import unittest
 import numpy as np
 from numpy.testing import assert_allclose

wafo/kdetools/tests/test_kdetools.py

@@ -3,7 +3,7 @@ Created on 20. nov. 2010
 
 @author: pab
 '''
-from __future__ import division
+from __future__ import absolute_import, division, print_function
 import unittest
 import numpy as np
 from numpy.testing import assert_allclose
@@ -231,7 +231,8 @@ class TestRegression(unittest.TestCase):
               0.0317357805015679, -0.0736187558312158, 0.04791463883941161,
               0.0660021138871709, -0.1049359954387588, 0.0034961490852392463]
         # print(ei.tolist())
-        y0 = 2*np.exp(-x**2/(2*0.3**2))+3*np.exp(-(x-1)**2/(2*0.7**2))
+        y0 = 2 * np.exp(-x**2 / (2 * 0.3**2)) + 3 * \
+            np.exp(-(x - 1)**2 / (2 * 0.7**2))
         y = y0 + ei
         kreg = wk.KRegression(x, y)
         f = kreg(output='plotobj', title='Kernel regression', plotflag=1)

wafo/kdetools/tests/test_kernels.py

@@ -3,7 +3,7 @@ Created on 23. des. 2016
 
 @author: pab
 '''
-from __future__ import division
+from __future__ import absolute_import, division, print_function
 import unittest
 import numpy as np
 from numpy.testing import assert_allclose

wafo/misc.py

@@ -1,7 +1,7 @@
 '''
 Misc
 '''
-from __future__ import absolute_import, division
+from __future__ import absolute_import, division, print_function
 import sys
 from wafo import numba_misc
 import fractions
@@ -37,14 +37,22 @@ __all__ = ['now', 'spaceline', 'narg_smallest', 'args_flat', 'is_numlike',
            'findpeaks', 'findrfc', 'rfcfilter', 'findtp', 'findtc',
            'findoutliers', 'common_shape', 'argsreduce', 'stirlerr',
            'getshipchar', 'dea3',
-           'betaloge', 'gravity', 'nextpow2', 'discretize', 'polar2cart',
-           'cart2polar', 'meshgrid', 'ndgrid', 'trangood', 'tranproc',
-           'plot_histgrm', 'num2pistr', 'test_docstrings', 'lazywhere',
-           'lazyselect',
+           'betaloge', 'gravity', 'nextpow2', 'discretize', 
+           'polar2cart', 'cart2polar', 'pol2cart', 'cart2pol',
+           'meshgrid', 'ndgrid', 'trangood', 'tranproc',
+           'plot_histgrm', 'num2pistr', 'test_docstrings', 
+           'lazywhere', 'lazyselect',
            'piecewise',
            'valarray', 'check_random_state']
 
 
+def xor(a, b):
+    """
+    Return True only when inputs differ.
+    """
+    return a ^ b
+
+
 def check_random_state(seed):
     """Turn seed into a np.random.RandomState instance
 
@@ -87,7 +95,7 @@ def valarray(shape, value=np.NaN, typecode=None):
     return out
 
 
-def piecewise(condlist, funclist, xi=None, fill_value=0.0, args=(), **kw):
+def piecewise(condlist, funclist, xi=None, fillvalue=0.0, args=(), **kw):
     """
     Evaluate a piecewise-defined function.
 
@@ -151,7 +159,7 @@ def piecewise(condlist, funclist, xi=None, fill_value=0.0, args=(), **kw):
           |funclist[0](x0[condlist[0]],x1[condlist[0]],...,xn[condlist[0]])
     out = |funclist[1](x0[condlist[1]],x1[condlist[1]],...,xn[condlist[1]])
           |...
-          |funclist[n2](x0[condlist[n2]],x1[condlist[n2]],...,xn[condlist[n2]])
+          |funclist[n2](x0[condlist[n2]], x1[condlist[n2]],..,xn[condlist[n2]])
           |--
 
     Examples
@@ -159,8 +167,9 @@ def piecewise(condlist, funclist, xi=None, fill_value=0.0, args=(), **kw):
     Define the sigma function, which is -1 for ``x < 0`` and +1 for ``x >= 0``.
 
     >>> x = np.linspace(-2.5, 2.5, 6)
-    >>> piecewise([x < 0, x >= 0], [-1, 1])
-    array([-1., -1., -1.,  1.,  1.,  1.])
+    >>> np.allclose(piecewise([x < 0, x >= 0], [-1, 1]),
+    ...    [-1, -1, -1,  1,  1,  1])
+    True
 
     Define the absolute value, which is ``-x`` for ``x <0`` and ``x`` for
     ``x >= 0``.
@@ -185,8 +194,7 @@ def piecewise(condlist, funclist, xi=None, fill_value=0.0, args=(), **kw):
 
     def check_shapes(condlist, funclist):
         nc, nf = len(condlist), len(funclist)
-        if nc not in [nf - 1, nf]:
-            raise ValueError("function list and condition list" +
+        _assert(nc in [nf - 1, nf], "function list and condition list"
                              " must be the same length")
 
     check_shapes(condlist, funclist)
@@ -197,20 +205,19 @@ def piecewise(condlist, funclist, xi=None, fill_value=0.0, args=(), **kw):
     if xi is None:
         arrays = ()
         dtype = np.result_type(*funclist)
-        shape = condlist[0].shape
     else:
         if not isinstance(xi, tuple):
             xi = (xi,)
         arrays = np.broadcast_arrays(*xi)
         dtype = np.result_type(*arrays)
-        shape = arrays[0].shape
 
-    out = valarray(shape, fill_value, dtype)
+    out = valarray(condlist[0].shape, fillvalue, dtype)
     for cond, func in zip(condlist, funclist):
-        if isinstance(func, Callable):
+        if cond.any():
+            if isinstance(func, collections.Callable):
                 temp = tuple(np.extract(cond, arr) for arr in arrays) + args
                 np.place(out, cond, func(*temp, **kw))
-        else:  # func is a scalar value or a list
+            else:  # func is a scalar value or a array
                 np.putmask(out, cond, func)
     return out
 
@@ -223,12 +230,12 @@ def lazywhere(cond, arrays, f, fillvalue=None, f2=None):
     >>> a, b = np.array([1, 2, 3, 4]), np.array([5, 6, 7, 8])
     >>> def f(a, b):
     ...     return a*b
-    >>> def f2(a, b):
-    ...     return np.ones(np.shape(a))*np.ones(np.shape(b))
     >>> lazywhere(a > 2, (a, b), f, np.nan)
     array([ nan,  nan,  21.,  32.])
+    >>> def f2(a, b):
+    ...    return (a*b)**2
     >>> lazywhere(a > 2, (a, b), f, f2=f2)
-    array([ 1.,  1.,  21.,  32.])
+    array([  25.,  144.,   21.,   32.])
 
     Notice it assumes that all `arrays` are of the same shape, or can be
     broadcasted together.
@@ -293,6 +300,10 @@ def lazyselect(condlist, choicelist, arrays, default=0):
 
 def rotation_matrix(heading, pitch, roll):
     '''
+    Parameters
+    ----------
+    heading, pitch, roll : real scalars
+        defining heading, pitch and roll in degrees.
 
     Examples
     --------
@@ -681,7 +692,7 @@ class Bunch(object):
         self.__dict__.update(kwargs)
 
 
-def printf(format_, *args):
+def printf(format_, *args):  # @ReservedAssignment
     sys.stdout.write(format_ % args)
 
 
@@ -748,6 +759,7 @@ def detrendma(x, L):
 
     Examples
     --------
+    >>> import matplotlib.pyplot as plt
     >>> import numpy as np
     >>> import wafo.misc as wm
     >>> exp = np.exp; cos = np.cos; randn = np.random.randn
@@ -767,7 +779,6 @@ def detrendma(x, L):
     >>> np.allclose(wm.detrendma(x2, L=1), [-1, 0, 0, 0, 1])
     True
 
-    import pylab as plt
     h = plt.plot(x, y, x, y0, 'r', x, exp(x), 'k', x, tr, 'm')
     plt.close('all')
 
@@ -776,7 +787,7 @@ def detrendma(x, L):
     Reconstruct
     """
     _assert(0 < L, 'L must be positive')
-    _assert(L == round(L), 'L must be an integer')
+    _assert(L == np.round(L), 'L must be an integer')
 
     x1 = np.atleast_1d(x)
     if x1.shape[0] == 1:
@@ -820,7 +831,7 @@ def ecross(t, f, ind, v=0):
 
     Example
     -------
-    >>> from matplotlib import pylab as plt
+    >>> from matplotlib import pyplot as plt
     >>> import wafo.misc as wm
     >>> ones = np.ones
     >>> t = np.linspace(0,7*np.pi,250)
@@ -857,12 +868,6 @@ def _findcross(xn, method='clib'):
     return numba_misc.findcross(xn)
 
 
-def xor(a, b):
-    """
-    Return True only when inputs differ.
-    """
-    return a ^ b
-
 
 def findcross(x, v=0.0, kind=None, method='clib'):
     '''
@@ -891,7 +896,7 @@ def findcross(x, v=0.0, kind=None, method='clib'):
 
     Example
     -------
-    >>> from matplotlib import pylab as plt
+    >>> from matplotlib import pyplot as plt
     >>> import wafo.misc as wm
     >>> ones = np.ones
     >>> np.allclose(findcross([0, 1, -1, 1], 0), [0, 1, 2])
@@ -935,19 +940,20 @@ def findcross(x, v=0.0, kind=None, method='clib'):
             t_0 = int(xn[ind[0] + 1] < 0)
             ind = ind[t_0::2]
         elif kind in ('dw', 'uw', 'tw', 'cw'):
-            # make sure the first is a level v down-crossing
+            # make sure that the first is a level v down-crossing
             #   if kind=='dw' or kind=='tw'
-            # or make sure the first is a level v up-crossing
+            # or that the first is a level v up-crossing
             #    if kind=='uw' or kind=='cw'
 
             first_is_down_crossing = int(xn[ind[0]] > xn[ind[0] + 1])
             if xor(first_is_down_crossing, kind in ('dw', 'tw')):
                 ind = ind[1::]
 
+            n_c = ind.size  # number of level v crossings
             # make sure the number of troughs and crests are according to the
-            # wavedef, i.e., make sure length(ind) is odd if kind is dw or uw
-            # and even if kind is tw or cw
-            is_odd = mod(ind.size, 2)
+            # wavedef, i.e., make sure length(ind) is odd if dw or uw
+            # and even if tw or cw
+            is_odd = mod(n_c, 2)
             if xor(is_odd, kind in ('dw', 'uw')):
                 ind = ind[:-1]
         else:
@@ -971,7 +977,7 @@ def findextrema(x):
     Examples
     --------
     >>> import numpy as np
-    >>> import pylab as plt
+    >>> import matplotlib.pyplot as plt
     >>> import wafo.misc as wm
     >>> t = np.linspace(0,7*np.pi,250)
     >>> x = np.sin(t)
@@ -1268,7 +1274,7 @@ def findtp(x, h=0.0, kind=None):
 
     Example:
     --------
-    >>> import pylab as plt
+    >>> import matplotlib.pyplot as plt
     >>> import wafo.misc as wm
     >>> t = np.linspace(0,30,500).reshape((-1,1))
     >>> x = np.hstack((t, np.cos(t) + 0.3 * np.sin(5*t)))
@@ -1370,7 +1376,7 @@ def findtc(x_in, v=None, kind=None):
 
     Example:
     --------
-    >>> import pylab as plt
+    >>> import matplotlib.pyplot as plt
     >>> import wafo.misc as wm
     >>> t = np.linspace(0,30,500).reshape((-1,1))
     >>> x = np.hstack((t, np.cos(t)))
@@ -1575,8 +1581,7 @@ def findoutliers(x, zcrit=0.0, dcrit=None, ddcrit=None, verbose=False):
 
 
 def common_shape(*args, ** kwds):
-    '''
-    Return the common shape of a sequence of arrays
+    """Return the common shape of a sequence of arrays.
 
     Parameters
     -----------
@@ -1610,7 +1615,8 @@ def common_shape(*args, ** kwds):
     See also
     --------
     broadcast, broadcast_arrays
-    '''
+
+    """
     shape = kwds.get('shape')
     x0 = 1 if shape is None else np.ones(shape)
     return tuple(np.broadcast(x0, *args).shape)
@@ -1946,9 +1952,9 @@ def gravity(phi=45):
     >>> import wafo.misc as wm
     >>> import numpy as np
     >>> phi = np.linspace(0,45,5)
-    >>> np.abs(wm.gravity(phi)-np.array([ 9.78049   ,  9.78245014,  9.78803583,
-    ...            9.79640552,  9.80629387]))<1.e-7
-    array([ True,  True,  True,  True,  True], dtype=bool)
+    >>> np.allclose(wm.gravity(phi),
+    ...            [ 9.78049   ,  9.78245014,  9.78803583, 9.79640552,  9.80629387])
+    True
 
     See also
     --------
@@ -2018,15 +2024,13 @@ def discretize(fun, a, b, tol=0.005, n=5, method='linear'):
     -------
     >>> import wafo.misc as wm
     >>> import numpy as np
-    >>> import pylab as plt
+    >>> import matplotlib.pyplot as plt
     >>> x,y = wm.discretize(np.cos, 0, np.pi)
-    >>> np.allclose(x[:5],
-    ... [ 0.        ,  0.19634954,  0.39269908,  0.58904862,  0.78539816])
+    >>> np.allclose(x[:5], [0.,  0.19634954,  0.39269908,  0.58904862,  0.78539816])
     True
 
     >>> xa,ya = wm.discretize(np.cos, 0, np.pi, method='adaptive')
-    >>> np.allclose(xa[:5],
-    ... [ 0.        ,  0.19634954,  0.39269908,  0.58904862,  0.78539816])
+    >>> np.allclose(xa[:5], [0.,  0.19634954,  0.39269908,  0.58904862,  0.78539816])
     True
 
 
@@ -2306,11 +2310,11 @@ def tranproc(x, f, x0, *xi):
     Example
     --------
     Derivative of g and the transformed Gaussian model.
-    >>> import pylab as plt
+    >>> import matplotlib.pyplot as plt
     >>> import wafo.misc as wm
     >>> import wafo.transform.models as wtm
     >>> tr = wtm.TrHermite()
-    >>> x = linspace(-5,5,501)
+    >>> x = np.linspace(-5, 5, 501)
     >>> g = tr(x)
     >>> gder = wm.tranproc(x, g, x, ones(g.shape[0]))
     >>> np.allclose(gder[1][:5],
@@ -2542,7 +2546,7 @@ def plot_histgrm(data, bins=None, range=None,  # @ReservedAssignment
 
     Example
     -------
-    >>> import pylab as plt
+    >>> import matplotlib.pyplot as plt
     >>> import wafo.misc as wm
     >>> import wafo.stats as ws
     >>> R = ws.weibull_min.rvs(2,loc=0,scale=2, size=100)
@@ -2551,10 +2555,11 @@ def plot_histgrm(data, bins=None, range=None,  # @ReservedAssignment
     >>> len(bins)
     13
 
-    h0 = wm.plot_histgrm(R, bins, normed=True)
-    x = np.linspace(-3,16,200)
+    >>> x = np.linspace(-3,16,200)
+    >>> pdf = ws.weibull_min.pdf(x,2,0,2)
 
-    h1 = plt.plot(x,ws.weibull_min.pdf(x,2,0,2),'r')
+    h0 = wm.plot_histgrm(R, 20, normed=True)
+    h1 = plt.plot(x, pdf,'r')
     plt.close('all')
 
     See also
@@ -2657,10 +2662,11 @@ def fourier(data, t=None, period=None, m=None, n=None, method='trapz'):
     >>> t = np.linspace(0,4*T)
     >>> x = np.sin(t)
     >>> a, b = wm.fourier(x, t, period=T, m=5)
-    >>> np.abs(a.ravel())<1e-12
-    array([ True,  True,  True,  True,  True], dtype=bool)
-    >>> np.abs(b.ravel()-np.array([ 0.,  4.,  0.,  0.,  0.]))<1e-12
-    array([ True,  True,  True,  True,  True], dtype=bool)
+    >>> np.allclose(a, 0)
+    True
+    >>> np.allclose(b.ravel(), 
+    ...             [ 0.,  4.,  0.,  0.,  0.])
+    True
 
     See also
     --------

wafo/polynomial.py

@@ -17,7 +17,7 @@
 # Licence:     LGPL
 # ------------------------------------------------------------------------
 # !/usr/bin/env python
-from __future__ import absolute_import
+from __future__ import absolute_import, division, print_function
 import warnings  # @UnusedImport
 from functools import reduce
 from numpy.polynomial import polyutils as pu
@@ -374,14 +374,17 @@ def ortho2poly(p):
     >>> x = np.array([0.0, 1.0, 2.0, 3.0,  4.0,  5.0])
     >>> y = np.array([0.0, 0.8, 0.9, 0.1, -0.8, -1.0])
     >>> p = wp.orthofit(x, y, 3)
-    >>> p
-    array([[ 0.        , -0.30285714, -0.16071429,  0.08703704],
-           [ 0.        ,  2.5       ,  2.5       ,  2.5       ],
-           [ 0.        ,  0.        ,  2.91666667,  2.13333333]])
-    >>> wp.ortho2poly(p)
-    array([ 0.08703704, -0.81349206,  1.69312169, -0.03968254])
-    >>> wp.polyfit(x, y, 3)
-    array([ 0.08703704, -0.81349206,  1.69312169, -0.03968254])
+
+    >>> np.allclose(p,[[ 0.        , -0.30285714, -0.16071429,  0.08703704],
+    ...               [ 0.        ,  2.5       ,  2.5       ,  2.5       ],
+    ...               [ 0.        ,  0.        ,  2.91666667,  2.13333333]])
+    True
+    >>> np.allclose(wp.ortho2poly(p),
+    ...    [ 0.08703704, -0.81349206,  1.69312169, -0.03968254])
+    True
+    >>> np.allclose(np.polyfit(x, y, 3),
+    ...    [ 0.08703704, -0.81349206,  1.69312169, -0.03968254])
+    True
 
     References
     ----------