How to check if a float value is within a range (0.50,150.00) and has 2 decimal digits?
For example, 15.22366 should be false (too many decimal digits). But 15.22 should be true.
I tried something like:
data= input()
if data in range(0.50,150.00):
return True
The easiest way is to first convert the decimal to string and split with '. ' and check if the length of the character. If it is >2 then pass on. i.e. Convert use input number to check if it is in a given range.
Range of floats using numpy.linspace() to get a range of float numbers. The numpy. linspace() returns number spaces evenly w.r.t interval. Similar to arange , but instead of step, it uses a sample number.
Check if the value has a type of number and is not an integer. Check if the value is not NaN . If a value is a number, is not NaN and is not an integer, then it's a float.
If doing math with floats, you need to add a decimal point, otherwise it will be treated as an int. See the Floating point constants page for details. The float data type has only 6-7 decimal digits of precision. That means the total number of digits, not the number to the right of the decimal point.
Is that you are looking for?
def check(value):
if 0.50 <= value <= 150 and round(value,2)==value:
return True
return False
Given your comment:
i input 15.22366 it is going to return true; that is why i specified the range; it should accept 15.22
Simply said, floating point values are imprecise. Many values don't have a precise representation. Say for example 1.40
. It might be displayed "as it":
>>> f = 1.40
>>> print f
1.4
But this is an illusion. Python has rounded that value in order to nicely display it. The real value as referenced by the variable f
is quite different:
>>> from decimal import Decimal
>>> Decimal(f)
Decimal('1.399999999999999911182158029987476766109466552734375')
According to your rule of having only 2 decimals, should f
reference a valid value or not?
The easiest way to fix that issue is probably to use round(...,2)
as I suggested in the code above. But this in only an heuristic -- only able to reject "largely wrong" values. See my point here:
>>> for v in [ 1.40,
... 1.405,
... 1.399999999999999911182158029987476766109466552734375,
... 1.39999999999999991118,
... 1.3999999999999991118]:
... print check(v), v
...
True 1.4
False 1.405
True 1.4
True 1.4
False 1.4
Notice how the last few results might seems surprising at first. I hope my above explanations put some light on this.
As a final advice, for your needs as I guess them from your question, you should definitively consider using "decimal arithmetic". Python provides the decimal module for that purpose.
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