small-pipe 0.1.0

Pipe your python functions!

small_pipe

small_pipe (small_pp for short) is a minimal abstraction layer for piping operations in python.

Examples

You can alias your functions and then use it in the pipe function like so

import small_pipe as pp

exists = pp.where(lambda x: x is not None)

pp.pipe(
    [1, 2, 3, None, 4],
    exists
)

[1, 2, 3, 4] # returns

For more complex cases consider importing functions directly as in

from small_pipe import pipe, each, where, reduce

pipe.debug = True
double = lambda x: x * 2

pipe(
    range(15),
    each(double),
    where(lambda x: x % 2 == 0),
    list,
    reduce(lambda x, y: x + y, 20),
    double
)

<map object at 0x000002055852B1F0>
<filter object at 0x000002055852B040>
[0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]
230
460  # returns

Docs

pipe is literally just a function that loops over *args and calls them on the positional argument

each, where and reduce wrap higher order functions map, filter and functools.reduce respectively so that they can be used without the iterable argument