Numpy int64

import numpy as np

# for example, numpy.float32 -> python float
val = np.float32(0)
pyval = val.item()
print(type(pyval))         # <class 'float'>

# and similar...
type(np.float64(0).item()) # <class 'float'>
type(np.uint32(0).item())  # <class 'long'>
type(np.int16(0).item())   # <class 'int'>
type(np.cfloat(0).item())  # <class 'complex'>
type(np.datetime64(0, 'D').item())  # <class 'datetime.date'>
type(np.datetime64('2001-01-01 00:00:00').item())  # <class 'datetime.datetime'>
type(np.timedelta64(0, 'D').item()) # <class 'datetime.timedelta'>
...

Source: stackoverflow.com

16 bit floating point numpy

# to create an x-bit point with numpy, use np.intx
# to create an unsigned x-bit point with numpy, use np.uintx
# examples:
import numpy as np

a = np.int16(10000) # 10000 stored as a 16-bit number (can store numbers from -32768 to 32767)
b = np.uint(10000) # 10000 stored as an unsigned 16-bit number (can store numbers from 0 to 65535)

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