convtools 1.12.1

dynamic, declarative data transformations with automatic code generation

convtools

convtools is a Python library that simplifies data transformation by allowing you to define them in a declarative way. It then generates the necessary Python code in the background, saving you time and effort.

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Installation

pip install convtools

Documentation

convtools.readthedocs.io

Group by example

from convtools import conversion as c

input_data = [
    {"a": 5, "b": "foo"},
    {"a": 10, "b": "foo"},
    {"a": 10, "b": "bar"},
    {"a": 10, "b": "bar"},
    {"a": 20, "b": "bar"},
]

conv = (
    c.group_by(c.item("b"))
    .aggregate(
        {
            "b": c.item("b"),
            "a_first": c.ReduceFuncs.First(c.item("a")),
            "a_max": c.ReduceFuncs.Max(c.item("a")),
        }
    )
    .pipe(
        c.aggregate({
            "b_values": c.ReduceFuncs.Array(c.item("b")),
            "mode_a_first": c.ReduceFuncs.Mode(c.item("a_first")),
            "median_a_max": c.ReduceFuncs.Median(c.item("a_max")),
        })
    )
    .gen_converter()
)

assert conv(input_data) == {
    'b_values': ['foo', 'bar'],
    'mode_a_first': 10,
    'median_a_max': 15.0
}

Built-in reducers like c.ReduceFuncs.First

* Sum
* SumOrNone
* Max
* MaxRow
* Min
* MinRow
* Count
* CountDistinct
* First
* Last
* Average
* Median
* Percentile
* Mode
* TopK
* Array
* ArrayDistinct
* ArraySorted

DICT REDUCERS ARE IN FACT AGGREGATIONS THEMSELVES, BECAUSE VALUES GET REDUCED.
* Dict
* DictArray
* DictSum
* DictSumOrNone
* DictMax
* DictMin
* DictCount
* DictCountDistinct
* DictFirst
* DictLast

AND LASTLY YOU CAN DEFINE YOUR OWN REDUCER BY PASSING ANY REDUCE FUNCTION
OF TWO ARGUMENTS TO ``c.reduce``.

What's the point if there are tools like Pandas / Polars?

• convtools doesn't need to wrap data in a container to provide functionality, it simply runs the python code it generates on any input
• convtools is lightweight (though optional black is highly recommended for pretty-printing generated code out of curiosity)
• convtools fosters building pipelines on top of iterators, allowing for stream processing
• convtools supports nested aggregations
• convtools is a set of primitives for code generation, so it's just different.

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