﻿ Python: Get a list of elements that exist in both lists - w3resource

# Python: Get a list of elements that exist in both lists

## Python List: Exercise - 226 with Solution

Write a Python program to get a list of elements that exist in both lists, after applying the provided function to each list element of both.

• Create a set, using map() to apply fn to each element in b.
• Use a list comprehension in combination with fn on a to only keep values contained in both lists.

Sample Solution-1:

Applying a given function:

Python Code:

``````def intersection_by(a, b, fn):
_b = set(map(fn, b))
return [item for item in a if fn(item) in _b]
from math import floor
print(intersection_by([2.1, 1.2], [2.3, 3.4], floor))
```
```

Sample Output:

```[2.1]
```

Flowchart: ## Visualize Python code execution:

The following tool visualize what the computer is doing step-by-step as it executes the said program:

Sample Solution-2:

Without applying any function:
Use a list comprehension on x to only keep values contained in both lists.

Python Code:

``````def similarity(x, y):
return [item for item in x if item in y]
nums1 = [1, 2, 3, 4]
nums2 = [1, 2, 4, 5]
print("Original lists:")
print(nums1)
print(nums2)
print("\nList of elements that exist in both lists:")
print(similarity(nums1, nums2))
```
```

Sample Output:

```Original lists:
[1, 2, 3, 4]
[1, 2, 4, 5]

List of elements that exist in both lists:
[1, 2, 4]
```

Flowchart: ## Visualize Python code execution:

The following tool visualize what the computer is doing step-by-step as it executes the said program:

Sample Solution-3:

Without applying any function:

• Create a set from a and b.
• Use the built-in set operator & to only keep values contained in both sets, then transform the set back into a list.

Python Code:

``````def common_elements(l1, l2):
_l1, _l2 = set(l1), set(l2)
return list(_l1 & _l2)
nums1 = [1, 2, 3, 4]
nums2 = [1, 2, 4, 5]
print("Original lists:")
print(nums1)
print(nums2)
print("\nList of elements that exist in both lists:")
print(common_elements(nums1, nums2))
```
```

Sample Output:

```Original lists:
[1, 2, 3, 4]
[1, 2, 4, 5]

List of elements that exist in both lists:
[1, 2, 4]
```

Flowchart: ## Visualize Python code execution:

The following tool visualize what the computer is doing step-by-step as it executes the said program:

Python Code Editor:

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﻿

## Python: Tips of the Day

Given a predicate function, fn, and a prop string, this curried function will then take an object to inspect by calling the property and passing it to the predicate:

Example:

```def tips_check_prop(fn, prop):
return lambda obj: fn(obj[prop])
check_age = tips_check_prop(lambda x: x >= 25, 'age')
user = {'name': 'Owen', 'age': 25}

print(check_age(user))
```

Output:

```True
```

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