Strange precision in unpacking a numpy array with *

Question

I am working with the numpy array x = np.arange (2.5,7.0,0.01). If I give the commands print(x) and print(*x) I obtain different results. I know that *x unpack the numpy array, but I would expect the same values. For example, the last value printed by print(x) is 6.99, while the analogous one is 6.989999999999904. Why this discrepancy?

It most likely has to do with numpy print options vs. float print option. — Ehsan
– Ehsan, Commented Feb 12, 2021 at 21:28

kiranr · Accepted Answer · 2021-02-12 21:38:01Z

2

if you print a specific value, you get the same result. But while printing the whole array the values are truncated by the print() function

x = np.arange (2.5, 7.0, 0.01)
print(x[3])

the value is: 2.5299999999999994 when compared to

print(*x)

values : 2.5 2.51 2.5199999999999996 2.5299999999999994 ...

edited Feb 12, 2021 at 21:38

answered Feb 12, 2021 at 21:29

kiranr

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