Record Arrays (numpy.rec)

Record arrays expose the fields of structured arrays as properties.

Most commonly, ndarrays contain elements of a single type, e.g. floats, integers, bools etc. However, it is possible for elements to be combinations of these using structured types, such as:

Functions

array(obj[, dtype, shape, offset, strides, ...])	Construct a record array from a wide-variety of objects.
find_duplicate(list)	Find duplication in a list, return a list of duplicated elements
format_parser(formats, names, titles[, ...])	Class to convert formats, names, titles description to a dtype.
fromarrays(arrayList[, dtype, shape, ...])	Create a record array from a (flat) list of arrays
fromfile(fd[, dtype, shape, offset, ...])	Create an array from binary file data
fromrecords(recList[, dtype, shape, ...])	Create a recarray from a list of records in text form.
fromstring(datastring[, dtype, shape, ...])	Create a record array from binary data

Also, the numpy.recarray class and the numpy.record scalar dtype are present in this namespace.