Read a collection of files using information from their names
Project description
Files Collections
Select and read a collection of files
- Information contained in files and folders names are used to create basic selection filters
- Both local and remote file systems (FTP, S3, ...) can be explored
- Multiple implementations for handling different products and their specificities
- Easy building of an implementation for a new product
Quick start
conda install files_collections
from fcollections.implementations import NetcdfFilesDatabaseSwotLRL3
fc = NetcdfFilesDatabaseSwotLRL3("data")
fc.query(cycle_number=1, pass_number=1)
Documentation
📘 Full documentation: https://robin-cls.github.io/fcollections/index.html#
Key pages:
Project status
⚠️ This project is still subject to breaking changes. Versioning will reflects the breaking changes using SemVer convention
License
Apache 2.0 — see LICENSE
Project details
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
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 files_collections-1.0.0.tar.gz.
File metadata
- Download URL: files_collections-1.0.0.tar.gz
- Upload date:
- Size: 952.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b3c7dff2bd84ad94d6d83eb064a59d42369d0797e07305d3579322dc346f3c7
|
|
| MD5 |
eb028f517fbb58d09b2f9122a163019e
|
|
| BLAKE2b-256 |
64d6d1a871c3d0d47ff82b0aa9ed4258aa82314f0959f7ac5323f189a803993f
|
File details
Details for the file files_collections-1.0.0-py3-none-any.whl.
File metadata
- Download URL: files_collections-1.0.0-py3-none-any.whl
- Upload date:
- Size: 107.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
992182da7f5cb83cdff7348f3ffa655ab1e3f7bc63c9a41ad27ac949c3dc2a6c
|
|
| MD5 |
863ce21ce08d111c38134473f3b8359b
|
|
| BLAKE2b-256 |
0adc4f01874d242428ca803697b3c00b27313ca950c54dd8f21e9f057ec09d03
|