Representing missing and infinite values
Missing values can be represented using np.nan
Infinite values can be represented using np.inf
Example 1
np.nan
Example 2
np.inf
Checking whether an array contains and nan value or an infinite value
To check if nan value is present in the array we will use isnan() function
isnan() function returns True if an array contains nan or it will return False
To check if an infinite value is present in an array we will use isinf() function
isinf() function returns True if an array contains infinite or it will return False
Example 3
isnan()
Example 4
isinf()
Comparison operators on arrays
We can compare the arrays by using comparison operators like (==,<,>,>=,<=)
Comparison operators compare the arrays element wise
== ( equal )
To compare whether the elements are equal in the arrays
Example 5
!= ( not equal )
To compare whether the elements are not equal in the arrays
Example 6
> ( greater than )
To compare whether the elements are greater than in the arrays
Example 7
< ( lesser than )
To compare whether the elements are lesser than in the arrays
Example 8
>= ( greater than or equal to)
To compare whether the elements are greater than or equal to in the arrays
Example 9
<= ( lesser than or equal to)
To compare whether the elements are lesser than or equal to in the arrays
Example 10
array-wise comparisons
In array - wise comparisons we compare whether the arrays are same or not
For array-wise comparisons we will use array_equal(array1,array2) function
Example 11
Logical Operations
We can also apply logical operation on arrays
logical_or(array1,array2) and logical_and(array1,array2) functions are used to perform logical operations on arrays
logical_or(array1,array2)
It will compare two arrays elementwise and returns true if any one of the element is not a 0 and returns false if both the elements are 0
Example 12
logical_and(array1,array2)
It will compare two arrays elementwise and returns true if both the element is not a 0 and returns false if both the elements are 0
Example 13
Extras:-
np.all(array)
np.all() function returns True if all the elements in an arrays is not 0's and returns False if any element in an array is 0's
np.any(array)
np.any() function returns True if any elements in an arrays is not 0's and returns False if all the elements in an array is 0's
