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I want to check whether a float is actually 32 or 64bits (and the number of bits of a numpy float array). There should be a built-in, but just didn't find out...
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To get the length of a float in Python:Use the str() class to convert the float to a string, e.g. result = str(my_float) . Pass the string to the len() function, e.g. len(result) . The len() function will return the length of the string.
Python's floating-point numbers are usually 64-bit floating-point numbers, nearly equivalent to np.
Python Decimal default precision The Decimal has a default precision of 28 places, while the float has 18 places.
Properties of a Python float can be requested via sys.float_info. It returns information such as max/min value, max/min exp value, etc. These properties can potentially be used to calculate the byte size of a float. I never encountered anything else than 64 bit, though, on many different architectures.
The items of a NumPy array might have different size, but you can check their size in bytes by a.itemsize, where a is a NumPy array.
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numpy.finfo lists sizes and other attributes of float32 ..., including
nexp : number of bits in the exponent including its sign and bias.
nmant : number of bits in the mantissa.
On a machine with IEEE-754 standard floating point,
import numpy as np for f in (np.float32, np.float64, float): finfo = np.finfo(f) print finfo.dtype, finfo.nexp, finfo.nmant will print e.g.
float32 8 23 float64 11 52 float64 11 52 (Try float16 and float128 too.)
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