record.take()

record.take() 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

ndarray.__imod__

ndarray.__imod__ x.__imod__(y) <==> x%=y

numpy.genfromtxt()

numpy.genfromtxt(fname, dtype=, comments='#', delimiter=None, skip_header=0, skip_footer=0, converters=None, missing_values=None, filling_values=None, usecols=None, names=None, excludelist=None, deletechars=None, replace_space='_', autostrip=False, case_sensitive=True, defaultfmt='f%i', unpack=None, usemask=False, loose=True, invalid_raise=True, max_rows=None) [source] Load data from a text file, with missing values handled as specified. Each line past the first skip_header lines is split a

recarray.repeat()

recarray.repeat(repeats, axis=None) Repeat elements of an array. Refer to numpy.repeat for full documentation. See also numpy.repeat equivalent function

chararray.repeat()

chararray.repeat(repeats, axis=None) Repeat elements of an array. Refer to numpy.repeat for full documentation. See also numpy.repeat equivalent function

numpy.polynomial.legendre.legint()

numpy.polynomial.legendre.legint(c, m=1, k=[], lbnd=0, scl=1, axis=0) [source] Integrate a Legendre series. Returns the Legendre series coefficients c integrated m times from lbnd along axis. At each iteration the resulting series is multiplied by scl and an integration constant, k, is added. The scaling factor is for use in a linear change of variable. (?Buyer beware?: note that, depending on what one is doing, one may want scl to be the reciprocal of what one might expect; for more inform

Padding Arrays

pad(array, pad_width, mode, **kwargs) Pads an array.

chararray.dumps()

chararray.dumps() Returns the pickle of the array as a string. pickle.loads or numpy.loads will convert the string back to an array. Parameters: None

dtype.__setstate__()

dtype.__setstate__()

Floating point error handling

Setting and getting error handling seterr([all, divide, over, under, invalid]) Set how floating-point errors are handled. geterr() Get the current way of handling floating-point errors. seterrcall(func) Set the floating-point error callback function or log object. geterrcall() Return the current callback function used on floating-point errors. errstate(**kwargs) Context manager for floating-point error handling. Internal functions seterrobj(errobj) Set the object that defines floating