Can someone explain why some Numpy numbers aren't whole integers? When I run this:
print(np.sqrt(2.)**2) I get:
2.0000000000000004 And why is it that I get
[ 0. 1.11111111 2.22222222 3.33333333 4.44444444 5.55555556 6.66666667 7.77777778 8.88888889 10. ] when I print
print(np.linspace(0, 10, 10)) From numpy's documentation:
dtype : dtype, optional The type of the output array. If `dtype` is not given, the data type is inferred from `start` and `stop`. The inferred dtype will never be an integer; `float` is chosen even if the arguments would produce an array of integers. This can be overridden by explicitly specifying dtype:
np.linspace(0, 10, 10, dtype=np.int64) > array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 10]) 
