django-prepared-properties | Declarative annotations and prefetches for Django models | Data Labeling library
kandi X-RAY | django-prepared-properties Summary
kandi X-RAY | django-prepared-properties Summary
Declarative annotations and prefetches for Django models. We often find ourselves writing a lot of quite complex annotations and prefetches. While these are used across the project, the logic that defines them is kind of hidden in a queryset method (or more of them, if the annotations rely on eachother). If there’s a default/naive implementation as a property, that logic is held in a completely different place. Using these annotations requires you to call each of those queryset methods, which quickly becomes a bit of a mess. This package attempts to solve this by allowing you to define annotations and prefetches as prepared properties, so you can add them to you querysets by referencing the class attribute. The queryset prepare method resolves annotation dependencies and builds the correct queryset for you. Requires python 3.6 and django 2.2. It probably works on django 3, but I haven’t tried it (PRs welcome <3).
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Top functions reviewed by kandi - BETA
- Return the resolution order of a property .
- Return the value of the property .
- Overrides constructor .
- Set the name of the property .
- The annotation for this model .
- Add properties to the QuerySet .
- Returns queryset with prefetch related properties .
- Return an annotated property .
django-prepared-properties Key Features
django-prepared-properties Examples and Code Snippets
Community Discussions
Trending Discussions on Data Labeling
QUESTION
I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.
What I've done so far is make this representation with the same enumerator class.
A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?
...ANSWER
Answered 2021-Dec-30 at 13:57Instead of using Enum
you can use a dict
mapping. You can avoid loops if you flatten your dataframe:
QUESTION
I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.
In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space
i have this:
...ANSWER
Answered 2020-Nov-16 at 07:24Try something like:
QUESTION
Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.
Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.
Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.
...ANSWER
Answered 2020-Oct-27 at 22:39Is the data behind virtual network by any chance?
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Install django-prepared-properties
You can use django-prepared-properties like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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