On this page
numpy.dtype
class numpy.dtype[source]-
- Attributes
-
alignment-
The required alignment (bytes) of this data-type according to the compiler.
base-
Returns dtype for the base element of the subarrays, regardless of their dimension or shape.
byteorder-
A character indicating the byte-order of this data-type object.
char-
A unique character code for each of the 21 different built-in types.
descr-
__array_interface__description of the data-type. fields-
Dictionary of named fields defined for this data type, or
None. flags-
Bit-flags describing how this data type is to be interpreted.
hasobject-
Boolean indicating whether this dtype contains any reference-counted objects in any fields or sub-dtypes.
isalignedstruct-
Boolean indicating whether the dtype is a struct which maintains field alignment.
isbuiltin-
Integer indicating how this dtype relates to the built-in dtypes.
isnative-
Boolean indicating whether the byte order of this dtype is native to the platform.
itemsize-
The element size of this data-type object.
kind-
A character code (one of ‘biufcmMOSUV’) identifying the general kind of data.
metadata-
Either
Noneor a readonly dictionary of metadata (mappingproxy). name-
A bit-width name for this data-type.
names-
Ordered list of field names, or
Noneif there are no fields. ndim-
Number of dimensions of the sub-array if this data type describes a sub-array, and
0otherwise. num-
A unique number for each of the 21 different built-in types.
shape-
Shape tuple of the sub-array if this data type describes a sub-array, and
()otherwise. str-
The array-protocol typestring of this data-type object.
subdtype-
Tuple
(item_dtype, shape)if thisdtypedescribes a sub-array, and None otherwise. - type
Methods
newbyteorder([new_order])Return a new dtype with a different byte order.
© 2005–2021 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.20/reference/generated/numpy.dtype.html