Install
$ python -m pip install dataco
Examples
>>> from dataco import S3, GDrive
>>> s3 = S3('bucket_name')
>>> df = s3.read_csv('file_name.csv')
>>> df = s3.read_excel('file_name.xlsx', sheet_name='sheet_name')
>>> drive = GDrive('credential_file')
>>> files = drive.search_files_by_name('cities.csv')
>>> df = drive.read_csv('csv_file_id')
>>> df = drive.read_excel('excel_file_id', 'sheet_id')
1 maintainer
Metadata
1 maintainer
Release files for dataco 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dataco-0.1.2.tar.gz | 3.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataco-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.5 kB
Release files / dataco-0.1.2.tar.gz
| Download URL | dataco-0.1.2.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 |
twine/4.0.1 CPython/3.10.4
|
Release files / dataco-0.1.2-py3-none-any.whl
| Download URL | dataco-0.1.2-py3-none-any.whl |
|---|---|
| Size | 3.6 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 |
twine/4.0.1 CPython/3.10.4
|
