TypeError using Format in Python

Question

I have a numpy.ndarray of the following structure:

   array([[ 7963.92759169, -2931.3518914 ,  3360.79428745],
   [ 7964.28495515, -2930.99452794,  3361.15165092],
   [ 7965.60367246, -2929.67581063,  3362.47036823]])

I am trying to limit the digits after decimal to 2 with the below code:

for (label, score) in zip(lables, scoring_fn):
   print("[INFO] {}: {:.2f}".format(label, float(score)))

With this, I get the error "TypeError: unsupported format string passed to numpy.ndarray.format". Could anyone suggest on how to correct this error?

U13-Forward · Accepted Answer · 2019-08-27 06:22:48Z

1

Or use np.ndarray.round:

arr = arr.round(2)

answered Aug 27, 2019 at 6:22

U13-Forward

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Comments

SM Abu Taher Asif · Accepted Answer · 2019-08-27 06:21:11Z

0

try this:

np.set_printoptions(precision=2)
print(YourArray)

example:

import numpy as np
a = np.array([[ 7963.92759169, -2931.3518914 ,  3360.79428745],
   [ 7964.28495515, -2930.99452794,  3361.15165092],
   [ 7965.60367246, -2929.67581063,  3362.47036823]])
np.set_printoptions(precision=2)
print(a)

output:

[[ 7963.93 -2931.35  3360.79]
 [ 7964.28 -2930.99  3361.15]
 [ 7965.6  -2929.68  3362.47]]

answered Aug 27, 2019 at 6:21

SM Abu Taher Asif

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2 Comments

user3447653 Over a year ago

I tried using printoptions, as you could see in your output, it is no longer an array of integers (comma is not there between the numbers). So I could not access the array using index going further

SM Abu Taher Asif Over a year ago

using index you can print like this: print(a[0][0].round(2))

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