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The Quick and Easy Way to Analyze Numpy Arrays

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The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par

Python Function: How to Write Error Logic

Here's an example python user-defined function. Here, you'll know how to write error conditions. The best examples is if and else. I have shared the logic here for your reference.

Python
is one of the top programming languages. Python does support Functions. While writing functions you also need to consider some errors. Those are called exceptions. I am explaining how to give error logic in a function of Python.


Python function error logic

Exception-handling means to have logic for error scenarios. Writing exception I will show in a simple Function.

In this post I will give you syntax for writing function and exception. 

Here is my simple Function that multiplies two numbers.

Logic to write Function in Python to Multiply Two Numbers 

def product (num1,num2):
prod=num1*num2
print( ' The product of the numbers is \t:
'+str(prod)

Parameters used the Python Function
  • The 'def' means you are defining function with a name of 'product'.
  • In the parameters of 'product', you can see TWO variables. Those are to take input from the user for multiplication.
  • prod=num1*num2. That means product of two numbers assigning to 'prod' variable. 
  • Python is dynamic language and you no need to define variables explicitly.
  • Print command displays your result to the terminal or console. 
  • The '\t' tells 'space' between comment and the result.
How Python Function works

How to write error logic in Python Function

In the below code when you supply other than numeric, it sends an error message.

def product(num1,num2):
prod=num1*num2
If num1 or num2 in [ 0,1,2,3,4,5,6,7,8,9]
     print( prints value)
elif
    print( error)

Now, you are good to write functions and exceptions.

References

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