8 examples of 'create empty numpy array' in Python

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12def create_array():
13 """Creates a simple 3D numpy array with unique values at each
14 location in the matrix.
15
16 """
17 rows, cols, depth = 2, 3, 4
18 arr = numpy.zeros((rows, cols, depth), 'i')
19 count = 0
20 for i in range(rows):
21 for j in range(cols):
22 for k in range(depth):
23 arr[i,j,k] = count
24 count += 1
25 return arr
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11def create_empty_arrays():
12 oneD_empty = np.empty(5)
13 twoD_empty = np.empty((5,4))
14 threeD_empty = np.empty((5,4,3))
15
16 print('1D array')
17 print(oneD_empty)
18
19 print('2D array')
20 print(twoD_empty)
21
22 print('3D array')
23 print(threeD_empty)
90def create_from_numpy(self, arr):
91 return gpuarray.to_gpu(arr.astype(self.dtype))
22def array(shape, dtype):
23 return numpy.random.uniform(-1, 1, shape).astype(dtype)
37def test_construct(self):
38 a = bf.ndarray(self.known_vals, dtype='f32')
39 np.testing.assert_equal(a, self.known_array)
27def create_empty_channels(width, height, num_channels):
28 return np.array(num_channels*[height*[np.zeros(width)]])
100def zeros(shape, dtype=float):
101 """
102 Array of zeros.
103
104 Return an array of given shape and type, filled with zeros.
105
106 Parameters
107 ----------
108 shape : {sequence of ints, int}
109 Shape of the array
110 dtype : data-type, optional
111 The desired data-type for the array, default is np.float64.
112
113 Returns
114 -------
115 out : bharray
116 Array of zeros of given shape, dtype, and order.
117 """
118 ret = empty(shape, dtype)
119 ret.fill(0)
120 return ret
211def ones(shape, dtype=float):
212 dtype = _dtype_dct[dtype]
213 return _array_factory(shape, dtype(1), dtype)

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