DataDelve
Working with complex nested data can be tedious. If you have to access any objects that are four layers deep in a JSON response from a web service, you quickly tire of writing square brackets. Much better would be to have a simple way of accessing data through a simple syntax. jsonpointer is a perfect match, it looks just like paths through a filesystem. Applying this information to the data structures makes it easy and convenient.
Usage
from datadelve import DataDelver
data = ["your annoying data here"]
delver = DataDelver(data)
element = delver.get("/dict/keys/and/1/list/index")
subset = delver.cd("/particular/key/to/focus/on")
delver.set("/path/to/change", "new")
delver.delete("/bad")
1 maintainer
Release files for datadelve 0.8.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datadelve-0.8.2.tar.gz | 13.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datadelve-0.8.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.0 kB
Release files / datadelve-0.8.2.tar.gz
| Download URL | datadelve-0.8.2.tar.gz |
|---|---|
| Size | 13.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.12 CPython/3.8.10 Linux/5.4.0-104-generic
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Release files / datadelve-0.8.2-py3-none-any.whl
| Download URL | datadelve-0.8.2-py3-none-any.whl |
|---|---|
| Size | 13.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.12 CPython/3.8.10 Linux/5.4.0-104-generic
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