def correlate1d(input, weights, axis = -1, output = None, mode = "reflect",
cval = 0.0, origin = 0):
"""Calculate a one-dimensional correlation along the given axis.
The lines of the array along the given axis are correlated with the
given weights.
Parameters
----------
%(input)s
weights : array
one-dimensional sequence of numbers
%(axis)s
%(output)s
%(mode)s
%(cval)s
%(origin)s
"""
input = numpy.asarray(input)
if numpy.iscomplexobj(input):
raise TypeError('Complex type not supported')
output, return_value = _ni_support._get_output(output, input)
weights = numpy.asarray(weights, dtype=numpy.float64)
if weights.ndim != 1 or weights.shape[0] < 1:
raise RuntimeError('no filter weights given')
if not weights.flags.contiguous:
weights = weights.copy()
axis = _ni_support._check_axis(axis, input.ndim)
if ((len(weights) // 2 + origin < 0) or
(len(weights) // 2 + origin > len(weights))):
raise ValueError('invalid origin')
mode = _ni_support._extend_mode_to_code(mode)
_nd_image.correlate1d(input, weights, axis, output, mode, cval,
origin)
return return_value
def correlate1d(input,
weights,
axis=-1,
output=None,
mode="reflect",
cval=0.0,
origin=0):
"""Calculate a one-dimensional correlation along the given axis.
The lines of the array along the given axis are correlated with the
given weights. The weights parameter must be a one-dimensional sequence
of numbers."""
input = numarray.asarray(input)
if isinstance(input.type(), numarray.ComplexType):
raise TypeError, 'Complex type not supported'
output, return_value = _ni_support._get_output(output, input)
weights = numarray.asarray(weights, type=numarray.Float64)
if weights.rank != 1 or weights.shape[0] < 1:
raise RuntimeError, 'no filter weights given'
if not weights.iscontiguous():
weights = weights.copy()
axis = _ni_support._check_axis(axis, input.rank)
if ((len(weights) // 2 + origin < 0)
or (len(weights) // 2 + origin > len(weights))):
raise ValueError, 'invalid origin'
mode = _ni_support._extend_mode_to_code(mode)
_nd_image.correlate1d(input, weights, axis, output, mode, cval, origin)
return return_value
def correlate1d(input, weights, axis = -1, output = None, mode = "reflect",
cval = 0.0, origin = 0):
"""Calculate a one-dimensional correlation along the given axis.
The lines of the array along the given axis are correlated with the
given weights.
Parameters
----------
%(input)s
weights : array
one-dimensional sequence of numbers
%(axis)s
%(output)s
%(mode)s
%(cval)s
%(origin)s
"""
input = numpy.asarray(input)
if numpy.iscomplexobj(input):
raise TypeError, 'Complex type not supported'
output, return_value = _ni_support._get_output(output, input)
weights = numpy.asarray(weights, dtype=numpy.float64)
if weights.ndim != 1 or weights.shape[0] < 1:
raise RuntimeError, 'no filter weights given'
if not weights.flags.contiguous:
weights = weights.copy()
axis = _ni_support._check_axis(axis, input.ndim)
if ((len(weights) // 2 + origin < 0) or
(len(weights) // 2 + origin > len(weights))):
raise ValueError, 'invalid origin'
mode = _ni_support._extend_mode_to_code(mode)
_nd_image.correlate1d(input, weights, axis, output, mode, cval,
origin)
return return_value
def correlate1d(input, weights, axis=-1, output=None, mode="reflect", cval=0.0, origin=0):
"""Calculate a one-dimensional correlation along the given axis.
The lines of the array along the given axis are correlated with the
given weights. The weights parameter must be a one-dimensional sequence
of numbers."""
input = numarray.asarray(input)
if isinstance(input.type(), numarray.ComplexType):
raise TypeError, "Complex type not supported"
output, return_value = _ni_support._get_output(output, input)
weights = numarray.asarray(weights, type=numarray.Float64)
if weights.rank != 1 or weights.shape[0] < 1:
raise RuntimeError, "no filter weights given"
if not weights.iscontiguous():
weights = weights.copy()
axis = _ni_support._check_axis(axis, input.rank)
if (len(weights) // 2 + origin < 0) or (len(weights) // 2 + origin > len(weights)):
raise ValueError, "invalid origin"
mode = _ni_support._extend_mode_to_code(mode)
_nd_image.correlate1d(input, weights, axis, output, mode, cval, origin)
return return_value
def correlate1d(input,
weights,
axis=-1,
output=None,
mode="reflect",
cval=0.0,
origin=0):
input = np.asarray(input)
if np.iscomplexobj(input):
raise TypeError('Complex type not supported')
output = _get_output(output, input)
weights = np.asarray(weights, dtype=np.float64)
if weights.ndim != 1 or weights.shape[0] < 1:
raise RuntimeError('no filter weights given')
if not weights.flags.contiguous:
weights = weights.copy()
axis = _check_axis(axis, input.ndim)
if (len(weights) // 2 + origin < 0) or (len(weights) // 2 + origin >
len(weights)):
raise ValueError('invalid origin')
mode = _extend_mode_to_code(mode)
_nd_image.correlate1d(input, weights, axis, output, mode, cval, origin)
return output
