Valueerror: Cannot Create Group in Read Only Mode.
Table of Contents
- Introduction
- ⚠️What Is a Math Domain Error in Python?
- ➥ Fixing "ValueError: math domain mistake"-sqrt
- 💡 Solution 1: Using "cmath" Module
- 💡 Solution ii: Use Exception Handling
- ➥ "ValueError: math domain mistake" Examples
- ✰ Scenario one: Math Domain Error While Using pw()
- ✰ Scenario 2: Python Math Domain Error While Using log()
- ✰ Scenario 3: Math Domain Error While Using asin()
- 📖 Exercise: Fixing Math Domain Error While Using Acos()
- Decision
Introduction
Then, you sit downwards, grab a cup of coffee and start programming in Python. Then out of nowhere, this stupid python error shows up: ValueError: math domain error. 😞
Sometimes it may seem annoying, but once you take fourth dimension to understand what Math domain error actually is, you will solve the problem without any hassle.
To fix this error, you must understand – what is meant by the domain of a function?
Let'due south utilize an example to understand "the domain of a function."
Given equation: y= √(x+4)
- y = dependent variable
- x = independent variable
The domain of the role above is x≥−4. Here10 can't be less than −iv because other values won't yield a real output.
❖ Thus, the domain of a function is a set of all possible values of the independent variable ('ten') that yield a real/valid output for the dependent variable ('y').
⚠️What Is a Math Domain Error in Python?
If you accept washed something that is mathematically undefined (not possible mathematically), so Python throws ValueError: math domain error.
➥ Fixing "ValueError: math domain mistake"-sqrt
Example:
| from math import * print ( sqrt ( - five ) ) |
Output:
| Traceback ( most recent call terminal ) : File "D:/PycharmProjects/PythonErrors/Math Mistake.py" , line 2 , in < module > impress ( sqrt ( - 5 ) ) ValueError : math domain error |
Explanation:
Calculating the foursquare root of a negative number is outside the scope of Python, and it throws a ValueError.
Now, allow's swoop into the solutions to fix our trouble!
💡 Solution 1: Using "cmath" Module
When yous calculate the foursquare root of a negative number in mathematics, you become an imaginary number. The module that allows Python to compute the foursquare root of negative numbers and generate imaginary numbers as output is known equally cmath.
Solution:
| from cmath import sqrt print ( sqrt ( - 5 ) ) |
Output:
2.23606797749979j
💡 Solution ii: Use Exception Treatment
If you desire to eliminate the fault and you lot are not bothered about imaginary outputs, then you can use endeavor-except blocks. Thus, whenever Python comes across the ValueError: math domain error it is handled by the except cake.
Solution:
| from math import * x = int ( input ( 'Enter an integer: ' ) ) try : impress ( sqrt ( x ) ) except ValueError : impress ( "Cannot Compute Negative Square roots!" ) |
Output:
Enter an integer: -5
Cannot Compute Negative Foursquare roots!
Let u.s. accept a wait at some other scenarios that lead to the occurrence of the math domain mistake and the process to avoid this mistake.
➥ "ValueError: math domain fault" Examples
✰ Scenario 1: Math Domain Error While Using pow()
Cause of Mistake: If you try to calculate a negative base value raised to a partial ability, it volition lead to the occurrence of ValueError: math domain error.
Example:
| import math e = - 1.7 impress ( math . pow ( - three , e ) ) |
Output:
Traceback (nigh recent telephone call last):
File "D:/PycharmProjects/PythonErrors/Math Fault.py", line 3, in
print(math.pow(-3, eastward))
ValueError: math domain fault
Solution: Utilize the cmath module to solve this problem.
- Note:
- 10y = ey ln x
Using the above holding, the fault tin can exist avoided as follows:
| from cmath import exp , log eastward = - 1.7 print ( exp ( e * log ( - 3 ) ) ) |
Output:
(0.0908055832509843+0.12498316306449488j)
✰ Scenario two: Python Math Domain Error While Using log()
Consider the following example if you are working on Python two.x:
| import math print ( 2 / 3 * math . log ( 2 / iii , 2 ) ) |
Output:
Traceback (nigh recent telephone call last):
File "main.py", line 2, in
impress(2/three*math.log(2/3,2))
ValueError: math domain fault
Explanation: In Python two.ten, 2/3 evaluates to 0 since division floors past default. Therefore you lot're attempting a log 0, hence the mistake. Python 3, on the other hand, does floating-indicate division by default.
Solution:
To Avert the error endeavor this instead:
from __future__ import division, which gives you Python 3 division behaviour in Python ii.7.
| from __future__ import partition import math print ( ii / 3 * math . log ( 2 / 3 , 2 ) ) # Output: -0.389975000481 |
✰ Scenario 3: Math Domain Error While Using asin()
Example:
| import math one thousand = 5 print ( "asin(" , k , ") is = " , math . asin ( k ) ) |
Output:
Traceback (most recent telephone call last):
File "D:/PycharmProjects/PythonErrors/rough.py", line four, in
print("asin(",k,") is = ", math.asin(k))
ValueError: math domain error
Explanation: math.asin() method merely accepts numbers between the range of -i to 1. If you lot provide a number beyond of this range, it returns a ValueError – "ValueError: math domain error", and if you lot provide annihilation else other than a number, it returns error TypeError – "TypeError: a float is required".
Solution: You can avoid this fault by passing a valid input number to the function that lies within the range of -ane and 1.
| import math k = 0.25 impress ( "asin(" , 1000 , ") is = " , math . asin ( k ) ) #OUTPUT: asin( 0.25 ) is = 0.25268025514207865 |
📖 Practise: Fixing Math Domain Error While Using Acos()
Note: When you laissez passer a value to math.acos() which does non prevarication inside the range of -1 and 1, it raises a math domain fault.
Gear up the following code:
| import math print ( math . acos ( x ) ) |
Answer:
You tin avoid this fault past passing a valid input number to the part that lies within the range of -i and 1.
| import math print ( math . acos ( ten ) ) |
Conclusion
I promise this article helped you. Pleasesubscribe and stay tuned for more heady manufactures in the future. Happy learning! 📚
Source: https://java2blog.com/value-error-math-domain-error/
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