This Python package implements namedzip and namedzip_longest, which extend zip and itertools.zip_longest respectively to generate named tuples.
$ pip install namedzip>>> from namedzip import namedtuple, namedzip, namedzip_longestnamedzip and namedzip_longest can either be used with iterable arguments,
like the interfaces which they extend, to return generator objects:
>>> x_vals = [1, 2, 3]
>>> y_vals = [9, 8]
>>> Point = namedtuple("Point", ["x", "y"])
>>>
>>> for point in namedzip(Point, x_vals, y_vals):
... print(point)
...
Point(x=1, y=9)
Point(x=2, y=8)
>>>
>>> for point in namedzip_longest(Point, x_vals, y_vals):
... print(point)
...
Point(x=1, y=9)
Point(x=2, y=8)
Point(x=3, y=None)
>>>Or without iterable arguments to return reusable function objects:
>>> zip_points = namedzip(Point)
>>> for point in zip_points(x_vals, y_vals):
... print(point)
...
Point(x=1, y=9)
Point(x=2, y=8)
>>>
>>> zip_points = namedzip_longest(Point)
>>> for point in zip_points(x_vals, y_vals):
... print(point)
...
Point(x=1, y=9)
Point(x=2, y=8)
Point(x=3, y=None)
>>>Just like itertools.zip_longest, namedzip_longest takes a custom fillvalue.
>>> iterables = [(1, 2), (9, 8, 7), (11, 22)]
>>> Point3D = namedtuple("Point3D", ["x", "y", "z"])
>>>
>>> for point in namedzip_longest(Point3D, *iterables, fillvalue=0):
... print(point)
...
Point3D(x=1, y=9, z=11)
Point3D(x=2, y=8, z=22)
Point3D(x=0, y=7, z=0)
>>>However namedzip_longest also allows for the use of individual default
values specified in the named tuple or in the function call.
>>> iterables = [(1, 2), (9, 8, 7), (11, 22)]
>>> Point3D = namedtuple("Point3D", ["x", "y", "z"], defaults=(100, 1, 0))
>>>
>>> for point in namedzip_longest(Point3D, *iterables):
... print(point)
...
Point3D(x=1, y=9, z=11)
Point3D(x=2, y=8, z=22)
Point3D(x=100, y=7, z=0)
>>>
>>> for point in namedzip_longest(Point3D, *iterables, defaults=(77, 88, 99)):
... print(point)
...
Point3D(x=1, y=9, z=11)
Point3D(x=2, y=8, z=22)
Point3D(x=77, y=7, z=99)
>>>The idea behind this package is to help improve readability in cases where you have a need to iterate over multiple collections/streams of data, as well as to allow for individual default values like show above.
Instead of messing with indices or unpacking long tuples, namedzip allows you
to access aggregated values by attribute names using dot notation.
sensor_data = [fahrenheit_vals, humidity_vals, wind_mph_vals, pressure_hpa_vals]
Data = namedtuple("Data", ("temp_f", "humidity", "wind_mph", "pressure_hpa"))
zip_data = namedzip_longest(Data, defaults=(57.2, 68.3, 17.1, 1016.93))
for data in zip_data(*sensor_data):
temp_c = (data.temp_f - 32) / 1.8
wind_knots = data.wind_mph / 1.15078
pressure_atm = data.pressure_hpa / 1013.25
dew_point = calculate_dew_point(temp_c, data.humidity)
# NOTE: The formulas used above may not be accurate.Additional documentation is available at https://namedzip.readthedocs.io/en/latest/.
Clone repo:
$ git clone https://github.com/erberlin/namedzip.git
$ cd namedzipCreate and activate virtual environment on Windows:
> python -m venv venv
> venv\Scripts\activateCreate and activate virtual environment on OS X & Linux:
$ python3 -m venv venv
$ source venv/bin/activateInstall development packages:
$ pip install -r requirements.txtRun test suite:
$ pytest -vErik R Berlin - erberlin.dev@gmail.com
Distributed under the MIT license. See LICENSE for more information.