Data types — NumPy v2.1 Manual
Data types — NumPy v2.1 Manual
A basic numerical type name combined with a numeric bitsize defines a concrete type. The bitsize is the number of bits that are needed to represent a single ...
Data type objects (dtype) — NumPy v2.1 Manual
A data type object (an instance of numpy.dtype class) describes how the bytes in the fixed-size block of memory corresponding to an array item should be ...
Beyond the basics — NumPy v2.1 Manual
The PyArray_ITER_GOTO ( iter , destination ) can be used to jump to a particular point in the array, where destination is an array of npy_intp data-type with ...
Data type API — NumPy v2.1 Manual
All of the numeric data types (integer, floating point, and complex) have constants that are defined to be a specific enumerated type number. Exactly which ...
numpy.full — NumPy v2.1 Manual
Shape of the new array, e.g., (2, 3) or 2 . fill_valuescalar or array_like. Fill value. dtypedata-type, optional. The desired data-type for the array The ...
Array objects — NumPy v2.1 Manual
In addition to basic types (integers, floats, etc.), the data type objects can also represent data structures. An item extracted from an array, e.g., by ...
Data types — NumPy v1.21 Manual
uint8) >>> z array([0, 1, 2], dtype=uint8). Array types can also be ... Python older than v2.x, where integer array scalars cannot act ...
numpy.dtype — NumPy v2.1 Manual
Create a data type object. A numpy array is homogeneous, and contains elements described by a dtype object. A dtype object can be constructed from different ...
There are two types of proper-contiguous NumPy arrays: Fortran-contiguous arrays refer to data that is stored column-wise, i.e. the indexing of data as stored ...
NumPy reference — NumPy v2.1 Manual
Python API# · The N-dimensional array ( ndarray ) · Scalars · Data type objects ( dtype ) · Data type promotion in NumPy · Iterating over arrays ...
Data types — NumPy v1.10 Manual
uint8) >>> z array([0, 1, 2], dtype=uint8). Array types can also be ... Python older than v2.x, where integer array scalars cannot act ...
Alternatively, what kind of array scalar is present can be determined using other members of the data type hierarchy. Thus, for example isinstance(val, np.
numpy.array — NumPy v2.1 Manual
If object is a scalar, a 0-dimensional array containing object is returned. dtypedata-type, optional. The desired data-type for the array. If not given, NumPy ...
Python types and C-structures — NumPy v2.1 Manual
typedef struct PyArrayObject { PyObject_HEAD char *data; int nd; npy_intp *dimensions; npy_intp *strides; PyObject *base; PyArray_Descr *descr; int flags; ...
strings - used to represent text data, the text is given under quote marks. e.g. "ABCD"; integer - used to represent integer numbers. e.g. -1, -2, -3; float ...
...Data type objects (dtype) A data type object (an instance of numpy.dtype class) describes how the bytes in the fixed-size block of memory c...
NumPy - Data Types - TutorialsPoint
Sr.No. Data Types & Description. 1. bool_. Boolean (True or False) stored as a byte. 2. int_. Default integer type (same as C long; normally either int64 or ...
Structured arrays — NumPy v2.1 Manual
Here x is a one-dimensional array of length two whose datatype is a structure with three fields: 1. A string of length 10 or less named 'name', 2. a 32-bit ...
Data type objects (dtype) — NumPy v1.4 Manual (DRAFT)
... field represents an array of the data-type in the second element. Note that a 3-tuple with a third argument equal to 1 is equivalent to a 2- ...
Custom data types in numpy arrays - python - Stack Overflow
ndarray has to be done manually (unless the array contains Numpy scalars): there is no built-in checking mechanism (your array has dtype=object) ...