Extract Rows from Matrix with Distinct Data Types in Python

When it is required to extract rows from a matrix with different data types, it is iterated over and ‘set’ is used to get the distinct types.

Example

Below is a demonstration of the same

my_list = [[4, 2, 6], ["python", 2, {6: 2}], [3, 1, "fun"], [9, (4, 3)]]

print("The list is :")
print(my_list)
my_result = []
for sub in my_list:

   type_size = len(list(set([type(ele) for ele in sub])))

   if len(sub) == type_size:
      my_result.append(sub)

print("The resultant distinct data type rows are :")
print(my_result)

Output

The list is :
[[4, 2, 6], ['python', 2, {6: 2}], [3, 1, 'fun'], [9, (4, 3)]]
The resultant distinct data type rows are :
[['python', 2, {6: 2}], [9, (4, 3)]]

Explanation

• A list of different data types is defined and is displayed on the console

• An empty list is defined.

• The original list is iterated over, and the type of every element is determined.

• It is converted into a set type, and then into a list.

• Its size is determined, and it is compared with the specific size.

• If they match, it is appended to the empty list.

• This is displayed as output on the console.