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datar.misc

module

datar.misc

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Functions
  • pipe(data, func, *args, **kwargs) (Any) — Apply a function to the data</>
function

datar.misc.pipe(data, func, *args, **kwargs)

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Apply a function to the data

This function is similar to pandas.DataFrame.pipe() and allows you to apply custom functions in a piping workflow. Works with any data type.

Parameters
  • data (Any) — The data object (can be any type)
  • func (Callable) — Function to apply to the data. args and kwargs arepassed into func.
  • *args — Positional arguments passed into func
  • **kwargs — Keyword arguments passed into func
Returns (Any)

The return value of func

Examples 
>>> import datar.all as dr>>> # Works with lists
>>> [1, 2, 3] >> dr.pipe(lambda x: [i * 2 for i in x])
[2, 4, 6]

>>> # Works with dicts
>>> data = {'a': 1, 'b': 2}
>>> data >> dr.pipe(lambda x: {k: v * 2 for k, v in x.items()})
{'a': 2, 'b': 4}

>>> # With additional arguments
>>> def add_value(data, value):
...     return [x + value for x in data]
>>> [1, 2, 3] >> dr.pipe(add_value, 10)
[11, 12, 13]

>>> # Chain multiple operations
>>> [1, 2, 3] >> dr.pipe(lambda x: [i * 2 for i in x]) >> dr.pipe(sum)
12