dataknead
Fluent conversion between data formats like JSON, XML and CSV
Ever sighed when you wrote code to convert CSV to JSON for the thousandth time?
import csv
import json
data = []
with open("cities.csv") as f:
reader = csv.DictReader(f)
for row in reader:
data.append(row)
with open("cities.json", "w") as f:
json.dump(data, f)
Stop sighing and use dataknead. Fetch it with pip:
$ pip install dataknead
And use it like this:
from dataknead import Knead
Knead("cities.csv").write("cities.json")
Or make it even easier on the command line:
knead cities.csv cities.json
dataknead has inbuilt loaders for CSV, Excel, JSON, TOML and XML and you can easily write your own.
Piqued your interest? Read the docs!.
Metadata
Release files for dataknead 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dataknead-0.4.0.tar.gz | 8.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataknead-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.6 kB
Release files / dataknead-0.4.0.tar.gz
| Download URL | dataknead-0.4.0.tar.gz |
|---|---|
| Size | 8.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.4 CPython/3.8.5 Darwin/18.7.0
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Release files / dataknead-0.4.0-py3-none-any.whl
| Download URL | dataknead-0.4.0-py3-none-any.whl |
|---|---|
| Size | 11.1 kB |
| Tags | Python 3 |
|
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/1.1.4 CPython/3.8.5 Darwin/18.7.0
|