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How To Reshape A Numpy Array ?
How To Reshape A Numpy Array ? Table Of Contents: numpy.reshape( ) Examples Of numpy.reshape( ) (1) numpy.reshape( ) Syntax: numpy.reshape(a, newshape, order=’C’) Parameters: a: array_like – Array to be reshaped. newshape: int or tuple of ints – The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and the remaining dimensions. order: {‘C’, ‘F’, ‘A’}, optional – Read the elements of a using this index order, and place
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How Do You Know The Shape and Size Of a Numpy Array ?
How Do You Know The Shape and Size Of a Numpy Array ? Table Of Contents: ndarray.ndim ndarray.size ndarray.shape (1) ndarray.ndim ndarray.ndim will tell you the number of axes, or dimensions, of the array. Example-1: a = np.array([1, 2, 3]) a array([1, 2, 3]) a.ndim Output: 1 Example-2: b = np.array([[1,4],[3,2]]) b array([[1, 4], [3, 2]]) b.ndim Output: 2 Example-3: c = np.array([[[1,4],[3,2]]]) c array([[[1, 4], [3, 2]]]) c.ndim Output: 3 Example-4: y = np.zeros((2, 3, 4)) y array([[[0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]], [[0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0.,
