Pipe is a Python library that enables infix notation (pipes), offering a cleaner alternative to nested function calls. Here are some of the most useful methods from the Pipe library:

select and where (aliases for map and filter):

Python’s built-in map and filter functions are powerful tools for working with iterables, allowing for efficient data transformation and filtering. However, when used together, they can lead to code that’s difficult to read due to nested function calls. For example:

nums = [1, 2, 3, 4, 5, 6]

list(
    filter(lambda x: x % 2 == 0, 
           map(lambda x: x ** 2, nums)
    )
)

[4, 16, 36]

Pipe allows for a more intuitive and readable way of chaining operations:

from pipe import select, where

list(
    nums
    | select(lambda x: x ** 2)
    | where(lambda x: x % 2 == 0)
)

[4, 16, 36]

In this version, the operations are read from left to right, mirroring the order in which they’re applied. The select method corresponds to map, while where corresponds to filter. This syntax not only improves readability but also makes it easier to add, remove, or reorder operations in your data processing pipeline.

traverse:

The traverse method recursively unfolds nested iterables, which is useful for flattening deeply nested lists:

from pipe import traverse

from pipe import traverse

nested = [[1, 2, [3]], [4, 5]]
flattened = list(nested | traverse)
print(flattened) 

[1, 2, 3, 4, 5]

chain:

The chain method combines multiple iterables:

from pipe import chain

result = list([[1, 2], [3, 4], [5]] | chain)
print(result)

[1, 2, 3, 4, 5]

take and skip:

These methods allow you to select or skip a specific number of elements from an iterable:

from pipe import take, skip
from itertools import count

first_five = list(count() | take(5))
print(first_five) 

[0, 1, 2, 3, 4]

skip_first_two = list([1, 2, 3, 4, 5] | skip(2))
print(skip_first_two) 

[3, 4, 5]

Link to Pipe.