Python numpy.core.numeric.zeros() Examples

The following are 30 code examples of numpy.core.numeric.zeros(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module numpy.core.numeric , or try the search function .
Example #1
Source File: polynomial.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #2
Source File: polynomial.py    From lambda-packs with MIT License 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self.__dict__['coeffs'] = NX.concatenate((zr, self.coeffs))
            self.__dict__['order'] = key
            ind = 0
        self.__dict__['coeffs'][ind] = val
        return
Example #3
Source File: polynomial.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #4
Source File: polynomial.py    From lambda-packs with MIT License 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #5
Source File: index_tricks.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #6
Source File: index_tricks.py    From Fluid-Designer with GNU General Public License v3.0 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #7
Source File: polynomial.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #8
Source File: index_tricks.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #9
Source File: polynomial.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #10
Source File: index_tricks.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #11
Source File: polynomial.py    From Fluid-Designer with GNU General Public License v3.0 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self.__dict__['coeffs'] = NX.concatenate((zr, self.coeffs))
            self.__dict__['order'] = key
            ind = 0
        self.__dict__['coeffs'][ind] = val
        return
Example #12
Source File: index_tricks.py    From lambda-packs with MIT License 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #13
Source File: index_tricks.py    From ImageFusion with MIT License 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #14
Source File: polynomial.py    From ImageFusion with MIT License 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self.__dict__['coeffs'] = NX.concatenate((zr, self.coeffs))
            self.__dict__['order'] = key
            ind = 0
        self.__dict__['coeffs'][ind] = val
        return
Example #15
Source File: index_tricks.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #16
Source File: index_tricks.py    From auto-alt-text-lambda-api with MIT License 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #17
Source File: index_tricks.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #18
Source File: polynomial.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #19
Source File: polynomial.py    From pySINDy with MIT License 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #20
Source File: index_tricks.py    From mxnet-lambda with Apache License 2.0 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #21
Source File: polynomial.py    From Computable with MIT License 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self.__dict__['coeffs'] = NX.concatenate((zr, self.coeffs))
            self.__dict__['order'] = key
            ind = 0
        self.__dict__['coeffs'][ind] = val
        return
Example #22
Source File: index_tricks.py    From Computable with MIT License 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape, strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #23
Source File: ma.py    From Computable with MIT License 5 votes vote down vote up 
def make_mask_none (s):
    "Return a mask of all zeros of shape s."
    result = numeric.zeros(s, dtype=MaskType)
    result.shape = s
    return result
Example #24
Source File: ma.py    From Computable with MIT License 5 votes vote down vote up 
def zeros (shape, dtype=float):
    """zeros(n, dtype=float) =
     an array of all zeros of the given length or shape."""
    return array(numeric.zeros(shape, dtype))
Example #25
Source File: ma.py    From Computable with MIT License 5 votes vote down vote up 
def inner(a, b):
    """inner(a,b) returns the dot product of two arrays, which has
    shape a.shape[:-1] + b.shape[:-1] with elements computed by summing the
    product of the elements from the last dimensions of a and b.
    Masked elements are replace by zeros.
    """
    fa = filled(a, 0)
    fb = filled(b, 0)
    if len(fa.shape) == 0: fa.shape = (1,)
    if len(fb.shape) == 0: fb.shape = (1,)
    return masked_array(numeric.inner(fa, fb))
Example #26
Source File: ma.py    From Computable with MIT License 5 votes vote down vote up 
def dot(a, b):
    """dot(a,b) returns matrix-multiplication between a and b.  The product-sum
    is over the last dimension of a and the second-to-last dimension of b.
    Masked values are replaced by zeros. See also innerproduct.
    """
    return innerproduct(filled(a, 0), numeric.swapaxes(filled(b, 0), -1, -2))
Example #27
Source File: polynomial.py    From mxnet-lambda with Apache License 2.0 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #28
Source File: index_tricks.py    From pySINDy with MIT License 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')
Example #29
Source File: polynomial.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def __setitem__(self, key, val):
        ind = self.order - key
        if key < 0:
            raise ValueError("Does not support negative powers.")
        if key > self.order:
            zr = NX.zeros(key-self.order, self.coeffs.dtype)
            self._coeffs = NX.concatenate((zr, self.coeffs))
            ind = 0
        self._coeffs[ind] = val
        return
Example #30
Source File: index_tricks.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def __init__(self, *shape):
        if len(shape) == 1 and isinstance(shape[0], tuple):
            shape = shape[0]
        x = as_strided(_nx.zeros(1), shape=shape,
                       strides=_nx.zeros_like(shape))
        self._it = _nx.nditer(x, flags=['multi_index', 'zerosize_ok'],
                              order='C')