Print numpy array without brackets

Question

I am in the process of trying to teach myself python so I am very new to this. My code is pretty simple. I just have a numpy array that I have randomly generated with integers. My code looks like this

arr = np.random.randint(100, size=(5,5))

print(arr)

When it prints it prints with brackets around it like this

[[98 87 45  5 67]
 [33 39  1 40 96]
 [97 55 85  2 65]
 [18 28 32 55 21]
 [96 46 14 87 28]]

How do I remove all of the brackets so it is only the numbers with the spaces between?

you can use re.sub to replace the brackets after converting the bumpy array to a string import re print(re.sub('[\[\]]', '', np.array_str(arr))) — Shijith
– Shijith, Commented Dec 19, 2019 at 6:01
I think you should learn to love those brackets :) They provide useful visual information. But as a programming learning task, it's mostly Python string handling. It's not much of a numpy task. Still it might be useful to look at the code for np.savetxt, and try to imitate that. — hpaulj
– hpaulj, Commented Dec 19, 2019 at 6:07

kuzand · Accepted Answer · 2019-12-19 07:38:49Z

3

What about using Pandas?

import numpy as np
import pandas as pd

arr = np.random.randint(100, size=(5,5))
df = pd.DataFrame(arr)


print(df.to_string(header=False, index=False))

 45  40  99   8  20
 29  18  54  52  51
 94  52  84  61  17
 44  54  38  48  62
  4  76  95  73  46

edited Dec 19, 2019 at 7:38

answered Dec 19, 2019 at 7:31

kuzand

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Comments

Georgina Skibinski · Accepted Answer · 2019-12-19 06:00:03Z

2

Try:

for el in arr:
     print(' '.join(el.astype(str)))

edited Dec 19, 2019 at 6:00

answered Dec 19, 2019 at 5:53

Georgina Skibinski

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2 Comments

Mike Over a year ago

It returns an error TypeError: sequence item 0: expected str instance, numpy.int32 found

Georgina Skibinski Over a year ago

No worries, please consider upvoting, and mark this post as an answer to close it off

J.Gu · Accepted Answer · 2019-12-19 06:04:10Z

2

for example

import numpy as np
import re
arr = np.random.randint(100, size=(5,5))
print(arr)
print(re.sub('[\[\]]', '', np.array_str(arr)))

output:

[[71 35 79 89 85]
 [36 77 25 80 53] 
 [26 56  6 49 82]
 [27 84 18 86 62]
 [32 39 83 78 14]]

71 35 79 89 85
 36 77 25 80 53
 26 56  6 49 82
 27 84 18 86 62
 32 39 83 78 14

answered Dec 19, 2019 at 6:04

J.Gu

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Comments

Dev · Accepted Answer · 2019-12-19 06:15:21Z

1

for i in arr:
    for j in i:
        print(j, end=' ')

answered Dec 19, 2019 at 6:15

Dev

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