How to convert a numpy to a float in python [duplicate]

Question

I have numpy arrays as follows.

x = array([0.1])
y = array([0.2])
z= array([-0.05])

I want to get the value of them as a number. Therefore, I did the follwoing.

print(x.tolist()[0])
print(y.tolist()[0])
print(z.tolist()[0])

However, it gave me the following results which is incorrect.

0.09999999999999996
0.19999999999999998
-0.049999999999999975

I am wondering if there is a way to get 0.1, 0.2, -0.05 respectively.

I am happy to provide more details if needed.

@Austin I used it. However, it still gives me 0.09999999999999996 0.19999999999999998 -0.049999999999999975 — EmJ
– EmJ, Commented Feb 12, 2019 at 10:03

renny · Accepted Answer · 2019-02-12 10:04:32Z

2

You can use this:

float(x[0])
float(y[0])
float(z[0])

and for precision, you can use

round

answered Feb 12, 2019 at 10:04

renny

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Comments

Manzurul Hoque Rumi · Accepted Answer · 2019-02-12 10:06:14Z

1

You can use like this

print(round(x.tolist()[0], 2))
print(round(y.tolist()[0], 2))
print(round(z.tolist()[0], 2))

answered Feb 12, 2019 at 10:06

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