matrix.cumprod()

matrix.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis. Refer to numpy.cumprod for full documentation. See also numpy.cumprod equivalent function

chararray.isalnum()

chararray.isalnum() [source] Returns true for each element if all characters in the string are alphanumeric and there is at least one character, false otherwise. See also char.isalnum

MaskedArray.__add__()

MaskedArray.__add__(other) [source] Add self to other, and return a new masked array.

numpy.record

class numpy.record [source] A data-type scalar that allows field access as attribute lookup. Attributes T transpose base base object data pointer to start of data dtype dtype object flags integer value of flags flat a 1-d view of scalar imag imaginary part of scalar itemsize length of one element in bytes nbytes length of item in bytes ndim number of array dimensions real real part of scalar shape tuple of array dimensions size number of elements in the gentype strides tuple of bytes steps

Chebyshev.degree()

Chebyshev.degree() [source] The degree of the series. New in version 1.5.0. Returns: degree : int Degree of the series, one less than the number of coefficients.

generic.sum()

generic.sum() 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

record.fill()

record.fill() 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

record.max()

record.max() 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

Polynomial.copy()

Polynomial.copy() [source] Return a copy. Returns: new_series : series Copy of self.

numpy.load()

numpy.load(file, mmap_mode=None, allow_pickle=True, fix_imports=True, encoding='ASCII') [source] Load arrays or pickled objects from .npy, .npz or pickled files. Parameters: file : file-like object or string The file to read. File-like objects must support the seek() and read() methods. Pickled files require that the file-like object support the readline() method as well. mmap_mode : {None, ?r+?, ?r?, ?w+?, ?c?}, optional If not None, then memory-map the file, using the given mode (see