dtype.isalignedstruct Boolean indicating whether the dtype is a struct which maintains field alignment. This flag is sticky, so when combining multiple structs together, it is preserved and produces new dtypes which are also aligned.

dtype.hasobject Boolean indicating whether this dtype contains any reference-counted objects in any fields or sub-dtypes. Recall that what is actually in the ndarray memory representing the Python object is the memory address of that object (a pointer). Special handling may be required, and this attribute is useful for distinguishing data types that may contain arbitrary Python objects and data-types that won?t.

dtype.flags Bit-flags describing how this data type is to be interpreted. Bit-masks are in numpy.core.multiarray as the constants ITEM_HASOBJECT, LIST_PICKLE, ITEM_IS_POINTER, NEEDS_INIT, NEEDS_PYAPI, USE_GETITEM, USE_SETITEM. A full explanation of these flags is in C-API documentation; they are largely useful for user-defined data-types.

dtype.fields Dictionary of named fields defined for this data type, or None. The dictionary is indexed by keys that are the names of the fields. Each entry in the dictionary is a tuple fully describing the field: (dtype, offset[, title]) If present, the optional title can be any object (if it is a string or unicode then it will also be a key in the fields dictionary, otherwise it?s meta-data). Notice also that the first two elements of the tuple can be passed directly as arguments to the n

dtype.descr Array-interface compliant full description of the data-type. The format is that required by the ?descr? key in the __array_interface__ attribute.

dtype.char A unique character code for each of the 21 different built-in types.

dtype.byteorder A character indicating the byte-order of this data-type object. One of: ?=? native ?<? little-endian ?>? big-endian ?|? not applicable All built-in data-type objects have byteorder either ?=? or ?|?. Examples >>> dt = np.dtype('i2') >>> dt.byteorder '=' >>> # endian is not relevant for 8 bit numbers >>> np.dtype('i1').byteorder '|' >>> # or ASCII strings >>> np.dtype('S2').byteorder '|' >>> # Even if specif

dtype.base

dtype.alignment The required alignment (bytes) of this data-type according to the compiler. More information is available in the C-API section of the manual.

Standard FFTs fft(a[, n, axis, norm]) Compute the one-dimensional discrete Fourier Transform. ifft(a[, n, axis, norm]) Compute the one-dimensional inverse discrete Fourier Transform. fft2(a[, s, axes, norm]) Compute the 2-dimensional discrete Fourier Transform ifft2(a[, s, axes, norm]) Compute the 2-dimensional inverse discrete Fourier Transform. fftn(a[, s, axes, norm]) Compute the N-dimensional discrete Fourier Transform. ifftn(a[, s, axes, norm]) Compute the N-dimensional inverse dis