expressive 1.1.0

A library for quickly applying symbolic expressions to NumPy arrays

expressive

A library for quickly applying symbolic expressions to NumPy arrays

Inspired in part by this Stack Overflow Question Using numba.autojit on a lambdify'd sympy expression

installation

via pip https://pypi.org/project/expressive/

pip install expressive

usage

refer to tests for examples for now

generally follow a workflow like

• create instance expr = Expressive("a + log(b)")
• build instance expr.build(sample_data)
• instance is now callable expr(real_data)

The data should be provided as dict of NumPy arrays

data = {
    "a": numpy.array(range(1_000_000), dtype="int64"),
    "b": numpy.array(range(1_000_000), dtype="int64"),
}

testing

install dependencies

Only docker and compose (v2?) are required (used to generate the test environment)

sudo apt install docker.io docker-compose-v2

run tests

Just directly run the test script from the root of the repository, it will build the docker test environment and run itself inside it automatically

./test/runtests.sh

contributing

Please refer to CONTRIBUTING.md and LICENSE.txt