Skip to main content

pypi-image test codecov Quality Gate Status Supported versions Downloads

ddlpy

(D)ata (D)istributie (L)aag is a service from Rijkswaterstaat for distributing water quantity data, more information is available at https://rijkswaterstaatdata.nl/waterdata. This package provides an API for Python and includes easy filtering of available data and stations, convenient conversion to pandas and xarray objects, automatic chunking of large data requests, error handling and much more nifty features. See also https://github.com/wstolte/rwsapi for the R API.

Install

Install the latest ddlpy PyPI release with (extra dependencies between [] are optional):

pip install rws-ddlpy[netcdf,examples]

Examples

Documentation: https://deltares.github.io/ddlpy

In the examples/notebooks folders you will find the following examples to get you started:

Run ddlpy from console

With ddlpy locations you can generate a (subsetted) locations.json file, for instance:

ddlpy locations --quantity WATHTE --station hoekvanholland

With ddlpy measurements you can obtain measurements for locations/parameters in an existing locations.json, for instance:

ddlpy measurements 2023-01-01 2023-01-03

Something broke?

First check the status of the DDL (at the Updates section). If you found an issue in the data or with the Waterwebservices, please start a discussion at the Waterwebservices github. If you have a suggestion or found a bug in ddlpy, please create a issue at the ddlpy Github.

Metadata

Release files for rws-ddlpy 0.11.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rws-ddlpy 0.11.0
File Size Uploaded Provenance
rws_ddlpy-0.11.0.tar.gz 45.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for rws-ddlpy 0.11.0
File Interpreter ABI Platform
rws_ddlpy-0.11.0-py3-none-any.whl Python 3 none any Details

Total release size: 73.7 kB

Release files / rws_ddlpy-0.11.0.tar.gz

Download URL rws_ddlpy-0.11.0.tar.gz
Size 45.9 kB
Tags Source
SHA-256 checksum
How to use checksums
65f37183d1f5205258eb66e2b60a1322f309ee361b965ae7a604b61683fb9b2d
BLAKE2b-256 checksum
How to use checksums
c4849fb67cd8c7482dba0837a4145f29300ad1788f90a54a0d168c3b4583c6e8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

Release files / rws_ddlpy-0.11.0-py3-none-any.whl

Download URL rws_ddlpy-0.11.0-py3-none-any.whl
Size 27.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
40085024c873dd589a3b49b4f7fd112fc0ae86a279c82e56663a0fc2c6e98a0c
BLAKE2b-256 checksum
How to use checksums
d80f4e952fe94c38c4beec323d9d8d5186fd9272cefb10eba5b8af1be7b6adb3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.8

Security for rws-ddlpy 0.11.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page