generic.getfield() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

numpy.ma.mask_rows(a, axis=None) [source] Mask rows of a 2D array that contain masked values. This function is a shortcut to mask_rowcols with axis equal to 0. See also mask_rowcols Mask rows and/or columns of a 2D array. masked_where Mask where a condition is met. Examples >>> import numpy.ma as ma >>> a = np.zeros((3, 3), dtype=np.int) >>> a[1, 1] = 1 >>> a array([[0, 0, 0], [0, 1, 0], [0, 0, 0]]) >>> a = ma.masked_equal(a

recarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer to numpy.compress for full documentation. See also numpy.compress equivalent function

chararray.lstrip(chars=None) [source] For each element in self, return a copy with the leading characters removed. See also char.lstrip

numpy.random.random_integers(low, high=None, size=None) Random integers of type np.int between low and high, inclusive. Return random integers of type np.int from the ?discrete uniform? distribution in the closed interval [low, high]. If high is None (the default), then results are from [1, low]. The np.int type translates to the C long type used by Python 2 for ?short? integers and its precision is platform dependent. This function has been deprecated. Use randint instead. Deprecated sinc

class numpy.MachAr(float_conv=, int_conv=, float_to_float=, float_to_str= at 0x49c2ce2c>, title='Python floating point number') [source] Diagnosing machine parameters. Parameters: float_conv : function, optional Function that converts an integer or integer array to a float or float array. Default is float. int_conv : function, optional Function that converts a float or float array to an integer or integer array. Default is int. float_to_float : function, optional Function that conv

MaskedArray.itemsize Length of one array element in bytes. Examples >>> x = np.array([1,2,3], dtype=np.float64) >>> x.itemsize 8 >>> x = np.array([1,2,3], dtype=np.complex128) >>> x.itemsize 16

generic.astype() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

generic.put() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

generic.setflags() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The