Is there any way to tell whether a string represents an integer (e.g., '3', '-17' but not '3.14' or 'asfasfas') Without using a try/except mechanism?

is_int('3.14') = False
is_int('-7')   = True

If you’re really just annoyed at using try/excepts all over the place, please just write a helper function:

def RepresentsInt(s):
    try: 
        int(s)
        return True
    except ValueError:
        return False

>>> print RepresentsInt("+123")
True
>>> print RepresentsInt("10.0")
False

It’s going to be WAY more code to exactly cover all the strings that Python considers integers. I say just be pythonic on this one.

with positive integers you could use .isdigit:

>>> '16'.isdigit()
True

it doesn’t work with negative integers though. suppose you could try the following:

>>> s = '-17'
>>> s.startswith('-') and s[1:].isdigit()
True

it won’t work with '16.0' format, which is similar to int casting in this sense.

edit:

def check_int(s):
    if s[0] in ('-', '+'):
        return s[1:].isdigit()
    return s.isdigit()

You know, I’ve found (and I’ve tested this over and over) that try/except does not perform all that well, for whatever reason. I frequently try several ways of doing things, and I don’t think I’ve ever found a method that uses try/except to perform the best of those tested, in fact it seems to me those methods have usually come out close to the worst, if not the worst. Not in every case, but in many cases. I know a lot of people say it’s the “Pythonic” way, but that’s one area where I part ways with them. To me, it’s neither very performant nor very elegant, so, I tend to only use it for error trapping and reporting.

I was going to gripe that PHP, perl, ruby, C, and even the freaking shell have simple functions for testing a string for integer-hood, but due diligence in verifying those assumptions tripped me up! Apparently this lack is a common sickness.

Here’s a quick and dirty edit of Bruno’s post:

import sys, time, re

g_intRegex = re.compile(r"^([+-]?[1-9]\d*|0)$")

testvals = [
    # integers
    0, 1, -1, 1.0, -1.0,
    '0', '0.','0.0', '1', '-1', '+1', '1.0', '-1.0', '+1.0', '06',
    # non-integers
    'abc 123',
    1.1, -1.1, '1.1', '-1.1', '+1.1',
    '1.1.1', '1.1.0', '1.0.1', '1.0.0',
    '1.0.', '1..0', '1..',
    '0.0.', '0..0', '0..',
    'one', object(), (1,2,3), [1,2,3], {'one':'two'},
    # with spaces
    ' 0 ', ' 0.', ' .0','.01 '
]

def isInt_try(v):
    try:     i = int(v)
    except:  return False
    return True

def isInt_str(v):
    v = str(v).strip()
    return v=='0' or (v if v.find('..') > -1 else v.lstrip('-+').rstrip('0').rstrip('.')).isdigit()

def isInt_re(v):
    import re
    if not hasattr(isInt_re, 'intRegex'):
        isInt_re.intRegex = re.compile(r"^([+-]?[1-9]\d*|0)$")
    return isInt_re.intRegex.match(str(v).strip()) is not None

def isInt_re2(v):
    return g_intRegex.match(str(v).strip()) is not None

def check_int(s):
    s = str(s)
    if s[0] in ('-', '+'):
        return s[1:].isdigit()
    return s.isdigit()    


def timeFunc(func, times):
    t1 = time.time()
    for n in range(times):
        for v in testvals: 
            r = func(v)
    t2 = time.time()
    return t2 - t1

def testFuncs(funcs):
    for func in funcs:
        sys.stdout.write( "\t%s\t|" % func.__name__)
    print()
    for v in testvals:
        if type(v) == type(''):
            sys.stdout.write("'%s'" % v)
        else:
            sys.stdout.write("%s" % str(v))
        for func in funcs:
            sys.stdout.write( "\t\t%s\t|" % func(v))
        sys.stdout.write("\r\n") 

if __name__ == '__main__':
    print()
    print("tests..")
    testFuncs((isInt_try, isInt_str, isInt_re, isInt_re2, check_int))
    print()

    print("timings..")
    print("isInt_try:   %6.4f" % timeFunc(isInt_try, 10000))
    print("isInt_str:   %6.4f" % timeFunc(isInt_str, 10000)) 
    print("isInt_re:    %6.4f" % timeFunc(isInt_re, 10000))
    print("isInt_re2:   %6.4f" % timeFunc(isInt_re2, 10000))
    print("check_int:   %6.4f" % timeFunc(check_int, 10000))

Here are the performance comparison results:

timings..
isInt_try:   0.6426
isInt_str:   0.7382
isInt_re:    1.1156
isInt_re2:   0.5344
check_int:   0.3452

A C method could scan it Once Through, and be done. A C method that scans the string once through would be the Right Thing to do, I think.

EDIT:

I’ve updated the code above to work in Python 3.5, and to include the check_int function from the currently most voted up answer, and to use the current most popular regex that I can find for testing for integer-hood. This regex rejects strings like ‘abc 123’. I’ve added ‘abc 123’ as a test value.

It is Very Interesting to me to note, at this point, that NONE of the functions tested, including the try method, the popular check_int function, and the most popular regex for testing for integer-hood, return the correct answers for all of the test values (well, depending on what you think the correct answers are; see the test results below).

The built-in int() function silently truncates the fractional part of a floating point number and returns the integer part before the decimal, unless the floating point number is first converted to a string.

The check_int() function returns false for values like 0.0 and 1.0 (which technically are integers) and returns true for values like ’06’.

Here are the current (Python 3.5) test results:

                  isInt_try |       isInt_str       |       isInt_re        |       isInt_re2       |   check_int   |
    0               True    |               True    |               True    |               True    |       True    |
    1               True    |               True    |               True    |               True    |       True    |
    -1              True    |               True    |               True    |               True    |       True    |
    1.0             True    |               True    |               False   |               False   |       False   |
    -1.0            True    |               True    |               False   |               False   |       False   |
    '0'             True    |               True    |               True    |               True    |       True    |
    '0.'            False   |               True    |               False   |               False   |       False   |
    '0.0'           False   |               True    |               False   |               False   |       False   |
    '1'             True    |               True    |               True    |               True    |       True    |
    '-1'            True    |               True    |               True    |               True    |       True    |
    '+1'            True    |               True    |               True    |               True    |       True    |
    '1.0'           False   |               True    |               False   |               False   |       False   |
    '-1.0'          False   |               True    |               False   |               False   |       False   |
    '+1.0'          False   |               True    |               False   |               False   |       False   |
    '06'            True    |               True    |               False   |               False   |       True    |
    'abc 123'       False   |               False   |               False   |               False   |       False   |
    1.1             True    |               False   |               False   |               False   |       False   |
    -1.1            True    |               False   |               False   |               False   |       False   |
    '1.1'           False   |               False   |               False   |               False   |       False   |
    '-1.1'          False   |               False   |               False   |               False   |       False   |
    '+1.1'          False   |               False   |               False   |               False   |       False   |
    '1.1.1'         False   |               False   |               False   |               False   |       False   |
    '1.1.0'         False   |               False   |               False   |               False   |       False   |
    '1.0.1'         False   |               False   |               False   |               False   |       False   |
    '1.0.0'         False   |               False   |               False   |               False   |       False   |
    '1.0.'          False   |               False   |               False   |               False   |       False   |
    '1..0'          False   |               False   |               False   |               False   |       False   |
    '1..'           False   |               False   |               False   |               False   |       False   |
    '0.0.'          False   |               False   |               False   |               False   |       False   |
    '0..0'          False   |               False   |               False   |               False   |       False   |
    '0..'           False   |               False   |               False   |               False   |       False   |
    'one'           False   |               False   |               False   |               False   |       False   |
    <obj..>         False   |               False   |               False   |               False   |       False   |
    (1, 2, 3)       False   |               False   |               False   |               False   |       False   |
    [1, 2, 3]       False   |               False   |               False   |               False   |       False   |
    {'one': 'two'}  False   |               False   |               False   |               False   |       False   |
    ' 0 '           True    |               True    |               True    |               True    |       False   |
    ' 0.'           False   |               True    |               False   |               False   |       False   |
    ' .0'           False   |               False   |               False   |               False   |       False   |
    '.01 '          False   |               False   |               False   |               False   |       False   |

Just now I tried adding this function:

def isInt_float(s):
    try:
        return float(str(s)).is_integer()
    except:
        return False

It performs almost as well as check_int (0.3486) and it returns true for values like 1.0 and 0.0 and +1.0 and 0. and .0 and so on. But it also returns true for ’06’, so. Pick your poison, I guess.

str.isdigit() should do the trick.

Examples:

str.isdigit("23") ## True
str.isdigit("abc") ## False
str.isdigit("23.4") ## False

EDIT: As @BuzzMoschetti pointed out, this way will fail for minus number (e.g, “-23”). In case your input_num can be less than 0, use re.sub(regex_search,regex_replace,contents) before applying str.isdigit(). For example:

import re
input_num = "-23"
input_num = re.sub("^-", "", input_num) ## "^" indicates to remove the first "-" only
str.isdigit(input_num) ## True

Use a regular expression:

import re
def RepresentsInt(s):
    return re.match(r"[-+]?\d+$", s) is not None

If you must accept decimal fractions also:

def RepresentsInt(s):
    return re.match(r"[-+]?\d+(\.0*)?$", s) is not None

For improved performance if you’re doing this often, compile the regular expression only once using re.compile().

The proper RegEx solution would combine the ideas of Greg Hewgill and Nowell, but not use a global variable. You can accomplish this by attaching an attribute to the method. Also, I know that it is frowned upon to put imports in a method, but what I’m going for is a “lazy module” effect like http://peak.telecommunity.com/DevCenter/Importing#lazy-imports

edit: My favorite technique so far is to use exclusively methods of the String object.

#!/usr/bin/env python

# Uses exclusively methods of the String object
def isInteger(i):
    i = str(i)
    return i=='0' or (i if i.find('..') > -1 else i.lstrip('-+').rstrip('0').rstrip('.')).isdigit()

# Uses re module for regex
def isIntegre(i):
    import re
    if not hasattr(isIntegre, '_re'):
        print("I compile only once. Remove this line when you are confident in that.")
        isIntegre._re = re.compile(r"[-+]?\d+(\.0*)?$")
    return isIntegre._re.match(str(i)) is not None

# When executed directly run Unit Tests
if __name__ == '__main__':
    for obj in [
                # integers
                0, 1, -1, 1.0, -1.0,
                '0', '0.','0.0', '1', '-1', '+1', '1.0', '-1.0', '+1.0',
                # non-integers
                1.1, -1.1, '1.1', '-1.1', '+1.1',
                '1.1.1', '1.1.0', '1.0.1', '1.0.0',
                '1.0.', '1..0', '1..',
                '0.0.', '0..0', '0..',
                'one', object(), (1,2,3), [1,2,3], {'one':'two'}
            ]:
        # Notice the integre uses 're' (intended to be humorous)
        integer = ('an integer' if isInteger(obj) else 'NOT an integer')
        integre = ('an integre' if isIntegre(obj) else 'NOT an integre')
        # Make strings look like strings in the output
        if isinstance(obj, str):
            obj = ("'%s'" % (obj,))
        print("%30s is %14s is %14s" % (obj, integer, integre))

And for the less adventurous members of the class, here is the output:

I compile only once. Remove this line when you are confident in that.
                             0 is     an integer is     an integre
                             1 is     an integer is     an integre
                            -1 is     an integer is     an integre
                           1.0 is     an integer is     an integre
                          -1.0 is     an integer is     an integre
                           '0' is     an integer is     an integre
                          '0.' is     an integer is     an integre
                         '0.0' is     an integer is     an integre
                           '1' is     an integer is     an integre
                          '-1' is     an integer is     an integre
                          '+1' is     an integer is     an integre
                         '1.0' is     an integer is     an integre
                        '-1.0' is     an integer is     an integre
                        '+1.0' is     an integer is     an integre
                           1.1 is NOT an integer is NOT an integre
                          -1.1 is NOT an integer is NOT an integre
                         '1.1' is NOT an integer is NOT an integre
                        '-1.1' is NOT an integer is NOT an integre
                        '+1.1' is NOT an integer is NOT an integre
                       '1.1.1' is NOT an integer is NOT an integre
                       '1.1.0' is NOT an integer is NOT an integre
                       '1.0.1' is NOT an integer is NOT an integre
                       '1.0.0' is NOT an integer is NOT an integre
                        '1.0.' is NOT an integer is NOT an integre
                        '1..0' is NOT an integer is NOT an integre
                         '1..' is NOT an integer is NOT an integre
                        '0.0.' is NOT an integer is NOT an integre
                        '0..0' is NOT an integer is NOT an integre
                         '0..' is NOT an integer is NOT an integre
                         'one' is NOT an integer is NOT an integre
<object object at 0x103b7d0a0> is NOT an integer is NOT an integre
                     (1, 2, 3) is NOT an integer is NOT an integre
                     [1, 2, 3] is NOT an integer is NOT an integre
                {'one': 'two'} is NOT an integer is NOT an integre

>>> "+7".lstrip("-+").isdigit()
True
>>> "-7".lstrip("-+").isdigit()
True
>>> "7".lstrip("-+").isdigit()
True
>>> "13.4".lstrip("-+").isdigit()
False

So your function would be:

def is_int(val):
   return val[1].isdigit() and val.lstrip("-+").isdigit()

Greg Hewgill’s approach was missing a few components: the leading “^” to only match the start of the string, and compiling the re beforehand. But this approach will allow you to avoid a try: exept:

import re
INT_RE = re.compile(r"^[-]?\d+$")
def RepresentsInt(s):
    return INT_RE.match(str(s)) is not None

I would be interested why you are trying to avoid try: except?

I have to do this all the time, and I have a mild but admittedly irrational aversion to using the try/except pattern. I use this:

all([xi in '1234567890' for xi in x])

It doesn’t accommodate negative numbers, so you could strip out one minus sign (if any), and then check if the result comprises digits from 0-9:

all([xi in '1234567890' for xi in x.replace('-', '', 1)])

You could also pass x to str() if you’re not sure the input is a string:

all([xi in '1234567890' for xi in str(x).replace('-', '', 1)])

There are at least two (edge?) cases where this falls apart:

1. It doesn’t work for various scientific and/or exponential notations (e.g. 1.2E3, 10^3, etc.) – both will return False. I don’t think other answers accommodated this either, and even Python 3.8 has inconsistent opinions, since type(1E2) gives <class 'float'> whereas type(10^2) gives <class 'int'>.
2. An empty string input gives True.

So it won’t work for every possible input, but if you can exclude scientific notation, exponential notation, and empty strings, it’s an OK one-line check that returns False if x is not an integer and True if x is an integer.

I don’t know if it’s pythonic, but it’s one line, and it’s relatively clear what the code does.

I think

s.startswith('-') and s[1:].isdigit()

would be better to rewrite to:

s.replace('-', '').isdigit()

because s[1:] also creates a new string

But much better solution is

s.lstrip('+-').isdigit()

I really liked Shavais’ post, but I added one more test case ( & the built in isdigit() function):

def isInt_loop(v):
    v = str(v).strip()
    # swapping '0123456789' for '9876543210' makes nominal difference (might have because '1' is toward the beginning of the string)
    numbers = '0123456789'
    for i in v:
        if i not in numbers:
            return False
    return True

def isInt_Digit(v):
    v = str(v).strip()
    return v.isdigit()

and it significantly consistently beats the times of the rest:

timings..
isInt_try:   0.4628
isInt_str:   0.3556
isInt_re:    0.4889
isInt_re2:   0.2726
isInt_loop:   0.1842
isInt_Digit:   0.1577

using normal 2.7 python:

$ python --version
Python 2.7.10

Both the two test cases I added (isInt_loop and isInt_digit) pass the exact same test cases (they both only accept unsigned integers), but I thought that people could be more clever with modifying the string implementation (isInt_loop) opposed to the built in isdigit() function, so I included it, even though there’s a slight difference in execution time. (and both methods beat everything else by a lot, but don’t handle the extra stuff: “./+/-” )

Also, I did find it interesting to note that the regex (isInt_re2 method) beat the string comparison in the same test that was performed by Shavais in 2012 (currently 2018). Maybe the regex libraries have been improved?

This is probably the most straightforward and pythonic way to approach it in my opinion. I didn’t see this solution and it’s basically the same as the regex one, but without the regex.

def is_int(test):
    import string
    return not (set(test) - set(string.digits))

Here is a function that parses without raising errors. It handles obvious cases returns None on failure (handles up to 2000 ‘-/+’ signs by default on CPython!):

#!/usr/bin/env python

def get_int(number):
    splits = number.split('.')
    if len(splits) > 2:
        # too many splits
        return None
    if len(splits) == 2 and splits[1]:
        # handle decimal part recursively :-)
        if get_int(splits[1]) != 0:
            return None

    int_part = splits[0].lstrip("+")
    if int_part.startswith('-'):
        # handle minus sign recursively :-)
        return get_int(int_part[1:]) * -1
    # successful 'and' returns last truth-y value (cast is always valid)
    return int_part.isdigit() and int(int_part)

Some tests:

tests = ["0", "0.0", "0.1", "1", "1.1", "1.0", "-1", "-1.1", "-1.0", "-0", "--0", "---3", '.3', '--3.', "+13", "+-1.00", "--+123", "-0.000"]

for t in tests:
    print "get_int(%s) = %s" % (t, get_int(str(t)))

Results:

get_int(0) = 0
get_int(0.0) = 0
get_int(0.1) = None
get_int(1) = 1
get_int(1.1) = None
get_int(1.0) = 1
get_int(-1) = -1
get_int(-1.1) = None
get_int(-1.0) = -1
get_int(-0) = 0
get_int(--0) = 0
get_int(---3) = -3
get_int(.3) = None
get_int(--3.) = 3
get_int(+13) = 13
get_int(+-1.00) = -1
get_int(--+123) = 123
get_int(-0.000) = 0

For your needs you can use:

def int_predicate(number):
     return get_int(number) is not None

I suggest the following:

import ast

def is_int(s):
    return isinstance(ast.literal_eval(s), int)

From the docs:

Safely evaluate an expression node or a string containing a Python literal or container display. The string or node provided may only consist of the following Python literal structures: strings, bytes, numbers, tuples, lists, dicts, sets, booleans, and None.

I should note that this will raise a ValueError exception when called against anything that does not constitute a Python literal. Since the question asked for a solution without try/except, I have a Kobayashi-Maru type solution for that:

from ast import literal_eval
from contextlib import suppress

def is_int(s):
    with suppress(ValueError):
        return isinstance(literal_eval(s), int)
    return False

¯\_(ツ)_/¯

I have one possibility that doesn’t use int at all, and should not raise an exception unless the string does not represent a number

float(number)==float(number)//1

It should work for any kind of string that float accepts, positive, negative, engineering notation…

I guess the question is related with speed since the try/except has a time penalty:

 test data

First, I created a list of 200 strings, 100 failing strings and 100 numeric strings.

from random import shuffle
numbers = [u'+1'] * 100
nonumbers = [u'1abc'] * 100
testlist = numbers + nonumbers
shuffle(testlist)
testlist = np.array(testlist)

 numpy solution (only works with arrays and unicode)

np.core.defchararray.isnumeric can also work with unicode strings np.core.defchararray.isnumeric(u'+12') but it returns and array. So, it’s a good solution if you have to do thousands of conversions and have missing data or non numeric data.

import numpy as np
%timeit np.core.defchararray.isnumeric(testlist)
10000 loops, best of 3: 27.9 µs per loop # 200 numbers per loop

try/except

def check_num(s):
  try:
    int(s)
    return True
  except:
    return False

def check_list(l):
  return [check_num(e) for e in l]

%timeit check_list(testlist)
1000 loops, best of 3: 217 µs per loop # 200 numbers per loop

Seems that numpy solution is much faster.

If you want to accept lower-ascii digits only, here are tests to do so:

Python 3.7+: (u.isdecimal() and u.isascii())

Python <= 3.6: (u.isdecimal() and u == str(int(u)))

Other answers suggest using .isdigit() or .isdecimal() but these both include some upper-unicode characters such as '٢' (u'\u0662'):

u = u'\u0662'     # '٢'
u.isdigit()       # True
u.isdecimal()     # True
u.isascii()       # False (Python 3.7+ only)
u == str(int(u))  # False

Uh.. Try this:

def int_check(a):
    if int(a) == a:
        return True
    else:
        return False

This works if you don’t put a string that’s not a number.

And also (I forgot to put the number check part. ), there is a function checking if the string is a number or not. It is str.isdigit(). Here’s an example:

a = 2
a.isdigit()

If you call a.isdigit(), it will return True.

I have a tuple of tuples from a MySQL query like this:

T1 = (('13', '17', '18', '21', '32'),
      ('07', '11', '13', '14', '28'),
      ('01', '05', '06', '08', '15', '16'))

I’d like to convert all the string elements into integers and put them back into a list of lists:

T2 = [[13, 17, 18, 21, 32], [7, 11, 13, 14, 28], [1, 5, 6, 8, 15, 16]]

I tried to achieve it with eval but didn’t get any decent result yet.

int() is the Python standard built-in function to convert a string into an integer value. You call it with a string containing a number as the argument, and it returns the number converted to an integer:

print (int("1") + 1)

The above prints 2.

If you know the structure of your list, T1 (that it simply contains lists, only one level), you could do this in Python 2:

T2 = [map(int, x) for x in T1]

In Python 3:

T2 = [list(map(int, x)) for x in T1]

You can do this with a list comprehension:

T2 = [[int(column) for column in row] for row in T1]

The inner list comprehension ([int(column) for column in row]) builds a list of ints from a sequence of int-able objects, like decimal strings, in row. The outer list comprehension ([... for row in T1])) builds a list of the results of the inner list comprehension applied to each item in T1.

The code snippet will fail if any of the rows contain objects that can’t be converted by int. You’ll need a smarter function if you want to process rows containing non-decimal strings.

If you know the structure of the rows, you can replace the inner list comprehension with a call to a function of the row. Eg.

T2 = [parse_a_row_of_T1(row) for row in T1]

I would rather prefer using only comprehension lists:

[[int(y) for y in x] for x in T1]

Instead of putting int( ), put float( ) which will let you use decimals along with integers.

I would agree with everyones answers so far but the problem is is that if you do not have all integers they will crash.

If you wanted to exclude non-integers then

T1 = (('13', '17', '18', '21', '32'),
      ('07', '11', '13', '14', '28'),
      ('01', '05', '06', '08', '15', '16'))
new_list = list(list(int(a) for a in b) for b in T1 if a.isdigit())

This yields only actual digits. The reason I don’t use direct list comprehensions is because list comprehension leaks their internal variables.

T3=[]

for i in range(0,len(T1)):
    T3.append([])
    for j in range(0,len(T1[i])):
        b=int(T1[i][j])
        T3[i].append(b)

print T3

Try this.

x = "1"

x is a string because it has quotes around it, but it has a number in it.

x = int(x)

Since x has the number 1 in it, I can turn it in to a integer.

To see if a string is a number, you can do this.

def is_number(var):
    try:
        if var == int(var):
            return True
    except Exception:
        return False

x = "1"

y = "test"

x_test = is_number(x)

print(x_test)

It should print to IDLE True because x is a number.

y_test = is_number(y)

print(y_test)

It should print to IDLE False because y in not a number.

Using list comprehensions:

t2 = [map(int, list(l)) for l in t1]

In Python 3.5.1 things like these work:

c = input('Enter number:')
print (int(float(c)))
print (round(float(c)))

and

Enter number:  4.7
4
5

George.

See this function

def parse_int(s):
    try:
        res = int(eval(str(s)))
        if type(res) == int:
            return res
    except:
        return

Then

val = parse_int('10')  # Return 10
val = parse_int('0')  # Return 0
val = parse_int('10.5')  # Return 10
val = parse_int('0.0')  # Return 0
val = parse_int('Ten')  # Return None

You can also check

if val == None:  # True if input value can not be converted
    pass  # Note: Don't use 'if not val:'

Yet another functional solution for Python 2:

from functools import partial

map(partial(map, int), T1)

Python 3 will be a little bit messy though:

list(map(list, map(partial(map, int), T1)))

we can fix this with a wrapper

def oldmap(f, iterable):
    return list(map(f, iterable))

oldmap(partial(oldmap, int), T1)

If it’s only a tuple of tuples, something like rows=[map(int, row) for row in rows] will do the trick. (There’s a list comprehension and a call to map(f, lst), which is equal to [f(a) for a in lst], in there.)

Eval is not what you want to do, in case there’s something like __import__("os").unlink("importantsystemfile") in your database for some reason. Always validate your input (if with nothing else, the exception int() will raise if you have bad input).

You can do something like this:

T1 = (('13', '17', '18', '21', '32'),  
     ('07', '11', '13', '14', '28'),  
     ('01', '05', '06', '08', '15', '16'))  
new_list = list(list(int(a) for a in b if a.isdigit()) for b in T1)  
print(new_list)  

I want to share an available option that doesn’t seem to be mentioned here yet:

rumpy.random.permutation(x)

Will generate a random permutation of array x. Not exactly what you asked for, but it is a potential solution to similar questions.