Is there some function like str.isnumeric
but applicable to float?
'13.37'.isnumeric() #False
I still use this:
def isFloat(string):
try:
float(string)
return True
except ValueError:
return False
To check if the input string is an integer number, convert the user input to the integer type using the int() constructor. To check if the input is a float number, convert the user input to the float type using the float() constructor.
To check if a string is integer in Python, use the isdigit() method. The string isdigit() is a built-in Python method that checks whether the given string consists of only digits. In addition, it checks if the characters present in the string are digits or not.
As Imran says, your code is absolutely fine as shown.
However, it does encourage clients of isFloat
down the "Look Before You Leap" path instead of the more Pythonic "Easier to Ask Forgiveness than Permission" path.
It's more Pythonic for clients to assume they have a string representing a float but be ready to handle the exception that will be thrown if it isn't.
This approach also has the nice side-effect of converting the string to a float once instead of twice.
A more complete generalization:
def strType(xstr):
try:
int(xstr)
return 'int'
except:
try:
float(xstr)
return 'float'
except:
try:
complex(xstr)
return 'complex'
except:
return 'str'
print("4", strType("4"))
print("12345678901234567890", strType("12345678901234567890"))
print("4.1", strType("4.1"))
print("4.1+3j", strType("4.1+3j"))
print("a", strType("a"))
Your code is absolutely fine. Regex based solutions are more likely to be error prone.
Quick testing with timeit
reveals float(str_val)
is indeed faster than re.match()
>>> timeit.timeit('float("-1.1")')
1.2833082290601467
>>> timeit.timeit(r"pat.match('-1.1')", "import re; pat=re.compile(r'^-?\d*\.?\d+(?:[Ee]-?\d+)?$');")
1.5084138986904527
And the regex used above fails one edge case, it can't match '-1.'
, although float()
will happily convert it to proper float value.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With