= Python NumPy Types = The types defined by the `numpy` module. <> ---- == Bool_ == `numpy.bool_` is a boolean stored as a byte. ---- == Byte == `numpy.byte` is a C signed char. ---- == Complex64 == `numpy.complex64` is a 64-bit complex number. ---- == Complex128 == `numpy.complex128` is a 128-bit complex number. ---- == Complex192 == `numpy.complex192` is a 192-bit complex number. ---- == Complex256 == `numpy.complex256` is a 256-bit complex number. ---- == Float128 == `numpy.float128` is a 128-bit floating point number. ---- == CSingle == The `numpy.csingle` corresponds to a complex number stored as two single-precision floats ('''single'''). ---- == CDouble == The `numpy.cdouble` corresponds to a complex number stored as two double-precision floats ('''double'''). ---- == CLongDouble == The `numpy.clongdouble` corresponds to a complex number stored as two extended-precision floats ('''longdouble'''). ---- == Double == `numpy.double` is a C double-precision float. Actual size is platform-dependent. ---- == Float16 == `numpy.float16` is a 16-bit floating point number. ---- == Float32 == `numpy.float32` is a 32-bit floating point number. ---- == Float64 == `numpy.float64` is a 64-bit floating point number. ---- == Float96 == `numpy.float96` is a 96-bit floating point number. ---- == Float128 == `numpy.float128` is a 128-bit floating point number. ---- == Half == `numpy.half` is a C half-precision float. Actual size is platform-dependent. ---- == IntC == `numpy.intc` is a C signed int. Actual size is platform-dependent. ---- == IntP == `numpy.intp` is a signed integer type the size of an C pointer. Actual size is platform-dependent. ---- == Int_ == `numpy.int_` is a C signed long. Actual size is platform-dependent. ---- == Int8 == `numpy.int8` is an 8-bit signed integer type. ---- == Int16 == `numpy.int16` is a 16-bit signed integer type. ---- == Int32 == `numpy.int32` is a 32-bit signed integer type. ---- == Int64 == `numpy.int64` is a 64-bit signed integer type. ---- == LongDouble == `numpy.longdouble` is a C extended-precision float. Actual size is platform-dependent. ---- == LongLong == `numpy.longlong` is a C signed long long. Actual size is platform-dependent. ---- == ObjectDType == `numpy.dtypes.ObjectDType` represents a restriction on columnar data, allowing for optimization of data processing and storage. ---- == NDArray == `numpy.ndarray` is an N-dimensional array. ---- == Short == `numpy.short` is a C signed short. Actual size is platform-dependent. ---- == Single == `numpy.single` is a C single-precision float. Actual size is platform-dependent. ---- == UByte == `numpy.ubyte` is a C unsigned char. ---- == UInt == `numpy.uint` is a C unsigned long. Actual size is platform-dependent. ---- == UInt8 == `numpy.uint8` is an 8-bit unsigned integer type. ---- == UInt16 == `numpy.uint16` is a 16-bit unsigned integer type. ---- == UInt32 == `numpy.uint32` is a 32-bit unsigned integer type. ---- == UInt64 == `numpy.uint64` is a 64-bit unsigned integer type. ---- == UIntC == `numpy.uint` is a C unsigned int. Actual size is platform-dependent. ---- == UIntP == `numpy.uintp` is an unsigned integer type the size of an C pointer. Actual size is platform-dependent. ---- == ULongLong == `numpy.ulonglong` is a C unsigned long long. Actual size is platform-dependent. ---- == UShort == `numpy.ushort` is a C unsigned short. Actual size is platform-dependent. ---- CategoryRicottone