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    Numpy DataTypes

    NumPy supports a much greater variety of numerical types than Python does.


    List of DataTypes in Python


  • 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)
















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