In [4]:
from IPython.display import display_pretty

Data types

  • bool_ Boolean (True or False) stored as a byte
  • int_ Default integer type (same as C long; normally either int64 or int32)
  • intc Identical to C int (normally int32 or int64)
  • intp Integer used for indexing (same as C ssize_t; normally either int32 or int64)
  • int8 Byte (-128 to 127)
  • int16 Integer (-32768 to 32767)
  • int32 Integer (-2147483648 to 2147483647)
  • int64 Integer (-9223372036854775808 to 9223372036854775807)
  • uint8 Unsigned integer (0 to 255)
  • uint16 Unsigned integer (0 to 65535)
  • uint32 Unsigned integer (0 to 4294967295)
  • uint64 Unsigned integer (0 to 18446744073709551615)
  • float_ Shorthand for float64.
  • float16 Half precision float: sign bit, 5 bits exponent, 10 bits mantissa
  • float32 Single precision float: sign bit, 8 bits exponent, 23 bits mantissa
  • float64 Double precision float: sign bit, 11 bits exponent, 52 bits mantissa
  • complex_ Shorthand for complex128.
  • complex64 Complex number, represented by two 32-bit floats (real and imaginary components)
  • complex128 Complex number, represented by two 64-bit floats (real and imaginary components)

In [5]:
import numpy as np
a = np.float32(1.)
b = np.int_([1,2,3.1])
c = np.arange(1, 10, dtype=np.uint8)
d = a.astype(np.uint16)
display_pretty(a, b, c, d, d.dtype)


1.0
array([1, 2, 3])
array([1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=uint8)
1
dtype('uint16')