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dtype
{:.no_toc}
* TOC {:toc}The goal
A numpy matrix can have differnt dtype or -- in other words -- differnt types of numbers with different precisions.
Questions to David Rotermund
Signed integer types
Please use numpy.int8, numpy.int16, numpy.int32, and numpy.int64 !!!
-
numpy.int8: 8-bit signed integer (-128 to 127). Compatible with C char.
- numpy.byte
- Character code 'b'
-
numpy.int16: 16-bit signed integer (-32 768 to 32 767). Compatible with C short
- numpy.short
- Character code 'h'
-
numpy.int32: 32-bit signed integer (-2 147 483 648 to 2 147 483 647). Compatible with C int
- numpy.intc
- Character code 'i'
* numpy.int64: 64-bit signed integer (-9 223 372 036 854 775 808 to 9 223 372 036 854 775 807). Compatible with Python int and C long
- numpy.intp
- numpy.int_
- Character code 'l'
numpy.longlong: Compatible with C long long
- Character code 'q'
Unsigned integer types
Please use numpy.uint8, numpy.uint16, numpy.uint32, and numpy.uint64 !!!
-
numpy.uint8: 8-bit unsigned integer (0 to 255). Compatible with C unsigned char.
- numpy.ubyte
- Character code 'B'
-
numpy.uint16: 16-bit unsigned integer (0 to 65 535). Compatible with C unsigned short.
- numpy.ushort
- Character code 'H'
* numpy.uint32: 32-bit unsigned integer (0 to 4 294 967 295). Compatible with C unsigned int.
- numpy.uintc
- Character code 'I'
* numpy.uint64: 64-bit unsigned integer (0 to 18 446 744 073 709 551 615). Compatible with C unsigned long
- numpy.uint
- numpy.uintp
- Character code 'L'
- numpy.ulonglong: Compatible with C unsigned long long
- Character code 'Q'