Most of the questions I’ve found are biased on the fact they’re looking for letters in their numbers, whereas I’m looking for numbers in what I’d like to be a numberless string.
I need to enter a string and check to see if it contains any numbers and if it does reject it.
The function isdigit() only returns True if ALL of the characters are numbers. I just want to see if the user has entered a number so a sentence like "I own 1 dog" or something.
Any ideas?
Answers:
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Method 1
You can use any function, with the str.isdigit function, like this
def has_numbers(inputString):
return any(char.isdigit() for char in inputString)
has_numbers("I own 1 dog")
# True
has_numbers("I own no dog")
# False
Alternatively you can use a Regular Expression, like this
import re
def has_numbers(inputString):
return bool(re.search(r'd', inputString))
has_numbers("I own 1 dog")
# True
has_numbers("I own no dog")
# False
Method 2
You can use a combination of any and str.isdigit:
def num_there(s):
return any(i.isdigit() for i in s)
The function will return True if a digit exists in the string, otherwise False.
Demo:
>>> king = 'I shall have 3 cakes' >>> num_there(king) True >>> servant = 'I do not have any cakes' >>> num_there(servant) False
Method 3
use
str.isalpha()
Ref: https://docs.python.org/2/library/stdtypes.html#str.isalpha
Return true if all characters in the string are alphabetic and there
is at least one character, false otherwise.
Method 4
https://docs.python.org/2/library/re.html
You should better use regular expression. It’s much faster.
import re
def f1(string):
return any(i.isdigit() for i in string)
def f2(string):
return re.search('d', string)
# if you compile the regex string first, it's even faster
RE_D = re.compile('d')
def f3(string):
return RE_D.search(string)
# Output from iPython
# In [18]: %timeit f1('assdfgag123')
# 1000000 loops, best of 3: 1.18 µs per loop
# In [19]: %timeit f2('assdfgag123')
# 1000000 loops, best of 3: 923 ns per loop
# In [20]: %timeit f3('assdfgag123')
# 1000000 loops, best of 3: 384 ns per loop
Method 5
You could apply the function isdigit() on every character in the String. Or you could use regular expressions.
Also I found How do I find one number in a string in Python? with very suitable ways to return numbers. The solution below is from the answer in that question.
number = re.search(r'd+', yourString).group()
Alternatively:
number = filter(str.isdigit, yourString)
For further Information take a look at the regex docu: http://docs.python.org/2/library/re.html
Edit: This Returns the actual numbers, not a boolean value, so the answers above are more correct for your case
The first method will return the first digit and subsequent consecutive digits. Thus 1.56 will be returned as 1. 10,000 will be returned as 10. 0207-100-1000 will be returned as 0207.
The second method does not work.
To extract all digits, dots and commas, and not lose non-consecutive digits, use:
re.sub('[^d.,]' , '', yourString)
Method 6
I’m surprised that no-one mentionned this combination of any and map:
def contains_digit(s):
isdigit = str.isdigit
return any(map(isdigit,s))
in python 3 it’s probably the fastest there (except maybe for regexes) is because it doesn’t contain any loop (and aliasing the function avoids looking it up in str).
Don’t use that in python 2 as map returns a list, which breaks any short-circuiting
Method 7
You can accomplish this as follows:
if a_string.isdigit():
do_this()
else:
do_that()
https://docs.python.org/2/library/stdtypes.html#str.isdigit
Using .isdigit() also means not having to resort to exception handling (try/except) in cases where you need to use list comprehension (try/except is not possible inside a list comprehension).
Method 8
You can use NLTK method for it.
This will find both ‘1’ and ‘One’ in the text:
import nltk
def existence_of_numeric_data(text):
text=nltk.word_tokenize(text)
pos = nltk.pos_tag(text)
count = 0
for i in range(len(pos)):
word , pos_tag = pos[i]
if pos_tag == 'CD':
return True
return False
existence_of_numeric_data('We are going out. Just five you and me.')
Method 9
You can use range with count to check how many times a number appears in the string by checking it against the range:
def count_digit(a):
sum = 0
for i in range(10):
sum += a.count(str(i))
return sum
ans = count_digit("apple3rh5")
print(ans)
#This print 2
Method 10
import string
import random
n = 10
p = ''
while (string.ascii_uppercase not in p) and (string.ascii_lowercase not in p) and (string.digits not in p):
for _ in range(n):
state = random.randint(0, 2)
if state == 0:
p = p + chr(random.randint(97, 122))
elif state == 1:
p = p + chr(random.randint(65, 90))
else:
p = p + str(random.randint(0, 9))
break
print(p)
This code generates a sequence with size n which at least contain an uppercase, lowercase, and a digit. By using the while loop, we have guaranteed this event.
Method 11
any and ord can be combined to serve the purpose as shown below.
>>> def hasDigits(s):
... return any( 48 <= ord(char) <= 57 for char in s)
...
>>> hasDigits('as1')
True
>>> hasDigits('as')
False
>>> hasDigits('as9')
True
>>> hasDigits('as_')
False
>>> hasDigits('1as')
True
>>>
A couple of points about this implementation.
-
anyis better because it works like short circuit expression in C Language and will return result as soon as it can be determined i.e. in case of string ‘a1bbbbbbc’ ‘b’s and ‘c’s won’t even be compared. -
ordis better because it provides more flexibility like check numbers only between ‘0’ and ‘5’ or any other range. For example if you were to write a validator for Hexadecimal representation of numbers you would want string to have alphabets in the range ‘A’ to ‘F’ only.
Method 12
What about this one?
import string
def containsNumber(line):
res = False
try:
for val in line.split():
if (float(val.strip(string.punctuation))):
res = True
break
except ValueError:
pass
return res
containsNumber('234.12 a22') # returns True
containsNumber('234.12L a22') # returns False
containsNumber('234.12, a22') # returns True
Method 13
I’ll make the @zyxue answer a bit more explicit:
RE_D = re.compile('d')
def has_digits(string):
res = RE_D.search(string)
return res is not None
has_digits('asdf1')
Out: True
has_digits('asdf')
Out: False
which is the solution with the fastest benchmark from the solutions that @zyxue proposed on the answer.
Method 14
This probably isn’t the best approach in Python, but as a Haskeller this lambda/map approach made perfect sense to me and is very short:
anydigit = lambda x: any(map(str.isdigit, x))
Doesn’t need to be named of course. Named it could be used like anydigit("abc123"), which feels like what I was looking for!
Method 15
Also, you could use regex findall. It’s a more general solution since it adds more control over the length of the number. It could be helpful in cases where you require a number with minimal length.
s = '67389kjsdk'
contains_digit = len(re.findall('d+', s)) > 0
Method 16
Simpler way to solve is as
s = '1dfss3sw235fsf7s'
count = 0
temp = list(s)
for item in temp:
if(item.isdigit()):
count = count + 1
else:
pass
print count
Method 17
alp_num = [x for x in string.split() if x.isalnum() and re.search(r'd',x) and re.search(r'[a-z]',x)] print(alp_num)
This returns all the string that has both alphabets and numbers in it. isalpha() returns the string with all digits or all characters.
Method 18
This too will work.
if any(i.isdigit() for i in s):
print("True")
Method 19
An iterator approach. It consumes all characters unless a digit is met. The second argument of next fix the default value to return when the iterator is “empty”. In this case it set to False but also '' works since it is casted to a boolean value in the if.
def has_digit(string):
str_iter = iter(string)
while True:
char = next(str_iter, False)
# check if iterator is empty
if char:
if char.isdigit():
return True
else:
return False
or by looking only at the 1st term of a generator comprehension
def has_digit(string):
return next((True for char in string if char.isdigit()), False)
All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0