Language Integrated Query for Python
Project description
Install
pip install -U Linq
Additional: Some magic here: Mix Linq with Pipe
Here is an example to get top 10 frequent pixels in a picture.
from linq import Flow
import numpy as np
def most_frequent(arr: np.ndarray) -> np.ndarray:
return Flow(arr.flatten()) \
.GroupBy(lambda _: _) \
.Then(lambda x: x.items()) \
.Map(lambda k, v: (k, len(v))) \
.Sorted(by=lambda _, v: -v) \
.Take(10) \
.Map(lambda k, _: k) \
.ToList() \
.Then(np.array).Unboxed()
About Linq
// Calculate MSE loss.
/// <param name="Prediction"> the prediction of the neuron network</param>
/// <param name="Expected"> the expected target of the neuron network</param>
Prediction.Zip(Expected, (pred, expected)=> Math.Square(pred-expected)).Average()
It’s so human readable and it doesn’t cost much.
Reference:
Microsoft .NET general introduction => LINQ: .NET Language-Integrated Query.
Wikipedia => Language Integrated Query.
And there are so many scenes very awkward to Python programmer, using Linq might help a lot.
Awkward Scenes in Python
seq1 = range(100)
seq2 = range(100, 200)
zipped = zip(seq1, seq2)
mapped = map(lambda ab: ab[0] / ab[1], zipped)
grouped = dict();
group_fn = lambda x: x // 0.2
for e in mapped:
group_id = group_fn(e)
if group_id not in grouped:
grouped[group_id] = [e]
continue
grouped[group_id].append(e)
for e in grouped.items():
print(e)
The codes seems to be too long…
Now we extract the function group_by:
def group_by(f, container):
grouped = dict()
for e in container:
group_id = f(e)
if group_id not in grouped:
grouped[group_id] = [e]
continue
grouped[group_id].append(e)
return grouped
res = group_by(lambda x: x//0.2, map(lambda ab[0]/ab[1], zip(seq1, seq2)))
Okay, it’s not at fault, however, it makes me upset —— why do I have to write these ugly codes?
Now, let us try Linq!
from linq import Flow, extension_std
seq = Flow(range(100))
res = seq.Zip(range(100, 200)).Map(lambda fst, snd : fst/snd).GroupBy(lambda num: num//0.2).Unboxed()
How does Linq.py work?
class Flow:
__slots__ = ['stream']
def __init__(self, sequence):
self.stream = sequence
def __getattr__(self, k):
for cls in self.stream.__class__.__mro__:
namespace = Extension['{}.{}'.format(cls.__module__, cls.__name__)]
if k in namespace:
return partial(namespace[k], self)
raise NameError(
"No extension method named `{}` for {}.".format(
k, '{}.{}'.format(object.__module__, object.__name__)))
def __str__(self):
return self.stream.__str__()
def __repr__(self):
return self.__str__()
Extension Method
Here are three methods for you to do so.
Firstly, you can use extension_std to add extension methods for all Flow objects.
Next, you use extension_class(cls: type) to add extension methods for all Flow objects whose member stream’s type is named {cls.__module}.{cls.__name__}.
Finally, you can use extension_class(cls_name: str, of_module='builtins') to add extension methods for all Flow objects whose member stream’s type is named is named {of_module}.{cls_name}.
(This way to make extension methods is for the implicit types in Python, each of which cannot be got except from its instances’ meta member __class__.)
@extension_std # For all Flow objects
def Add(self, i):
return Flow(self.stream + (i.stream if isinstance(i, Flow) else i)))
@extension_class(int) # Just for type `int`
def Add(self, i):
return Flow(self.stream + (i.stream if isinstance(i, Flow) else i)))
@extension_class_name('int', of_module=int.__module__) # Also for type `int`.
def Add(self, i):
return Flow(self.stream + (i.stream if isinstance(i, Flow) else i)))
Documents of Standard Extension Methods
Note: Docs haven’t been finished yet.
How to Contribute
Design the standard library for Linq.py.
Write documents for the standard library and tutorials about how to use Linq.py.
Join LinqPy Room to discuss about any aspects of Linq.py.
Feel free to pull requests here.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file linq_t-0.1-py3-none-any.whl
.
File metadata
- Download URL: linq_t-0.1-py3-none-any.whl
- Upload date:
- Size: 16.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1ea10ebccf239515e08321bf756d0936bd28bd6b40f726192e6a7ef11044257a |
|
MD5 | 22300ba7dc9d6f93e78b3e74f396ab7c |
|
BLAKE2b-256 | fa6e08f9944bd7ba3d29377744bb241fc3b6cdd19d49383f15801455b1455b4e |