tool to interact with data from different storage services
Project description
To install
python -m pip dataco
Examples
>>> from dataco import S3, GDrive
>>> s3 = S3('bucket_name')
>>> df = s3.read_csv('file_name.csv')
>>> drive = GDrive('credential_file')
>>> df = drive.read_excel('file_name.xlsx', 'sheet_id')
>>> files = drive.search_files_by_name('cities.csv')
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dataco-0.0.9.tar.gz
(3.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dataco-0.0.9.tar.gz.
File metadata
- Download URL: dataco-0.0.9.tar.gz
- Upload date:
- Size: 3.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6c519d2b4735f8a613fea92c43402b13c20d0af1e92efc5a27aa84dad5bb84c4
|
|
| MD5 |
fe3c8e03140b930e889b3b9dba65556c
|
|
| BLAKE2b-256 |
39c7f0556d4bce1aa285d273dfcce12afc2ac5215f7a6f8bebcd29c0d0c4a71b
|
File details
Details for the file dataco-0.0.9-py3-none-any.whl.
File metadata
- Download URL: dataco-0.0.9-py3-none-any.whl
- Upload date:
- Size: 3.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3f1be293005d3946ceb2272cedfed92abbc44d72eac96af6aefea94f974d133e
|
|
| MD5 |
1f4978cb541c496ef0ba25595ae5c6f2
|
|
| BLAKE2b-256 |
8740ba6ba2f15b38dd5e508d3a4669bb5a0a89542fa686b9b0b61e93d4c0e511
|
