GHS
Storage csv file in github repository.
Installation
pip install pyghs
Usage
from ghs import GHS
import pandas as pd
df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
# Create a GHS instance
ghs = GHS("YOUR_GITHUB_REPOSITORY", "YOUR_GITHUB_TOKEN")
# Create a csv file in github repository
ghs.create("test.csv", df)
# Get a csv file from github repository
df = ghs.get("test.csv")
print(df)
This prints:
a b
0 1 4
1 2 5
2 3 6
1 maintainer
Metadata
1 maintainer
Release files for pyghs 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyghs-0.2.3.tar.gz | 3.9 kB | Without provenance | Details for pyghs-0.2.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyghs-0.2.3-py3-none-any.whl | Python 3 | none | any | Details for pyghs-0.2.3-py3-none-any.whl |
Total release size: 8.6 kB
Release files / pyghs-0.2.3.tar.gz
| Download URL | pyghs-0.2.3.tar.gz |
|---|---|
| Size | 3.9 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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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
pdm/2.5.3 CPython/3.9.13
|
Release files / pyghs-0.2.3-py3-none-any.whl
| Download URL | pyghs-0.2.3-py3-none-any.whl |
|---|---|
| Size | 4.7 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
pdm/2.5.3 CPython/3.9.13
|
Security for pyghs 0.2.3
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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