Skip to main content

Utilities to visualize and explore output from the NOAA Office of Water Prediction's (OWP) Water Resources Evaluation Service (WRES).

Project description

WRES Explorer

Utilities to visualize and explore output from the NOAA Office of Water Prediction's (OWP) Water Resources Evaluation Service (WRES).

Installation

In accordance with the python community, we support and advise the usage of virtual environments in any workflow using python. In the following installation guide, we use python's built-in venv module to create a virtual environment in which the tool will be installed. Note this is just personal preference, any python virtual environment manager should work just fine (conda, pipenv, etc. ).

# Create and activate python environment, requires python >= 3.10
$ python3 -m venv venv
$ source venv/bin/activate
$ python3 -m pip install --upgrade pip

# Install nwis_client
$ python3 -m pip install wres.explorer

Usage

Usage: wres-explorer [OPTIONS]

  Visualize and explore metrics output from WRES CSV2 formatted output.

  Run "wres-explorer" from the command-line, ctrl+c to stop the server.:

Options:
  --help  Show this message and exit.

Application Interface

The application features a tabbing interface. The "File Selector" tab is active by default.

File Selector

The file browser starts in the directory where the application was launched. Use the arrows to move the files you want to visualize from the "File Browser" to the "Selected files". File Selector

The example below has selected the file ABRFC.evaluation.csv.gz. After selecting one or more files, click the "Load/Reload Data" button to read the files. File Selected

Metrics Table

Once data are loaded, you will be able to explore the file(s) contents through a paging tabular interface shown below. Data Table

Feature Selector

To inspect the metrics at a specific feature (site), you need to select a feature from the selection boxes or by clicking on the map. The available options are determined by the features found in the files you selected earlier. Note the selected site in magenta. Map Selector

Metrics Plots

After a site is selected, the "Metrics Plots" tab will be populated with plots showing the metrics found at this feature. Use the dropdown menu ("Select Metric") to view different metrics. Metric Selector

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wres_explorer-0.3.2.tar.gz (14.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wres_explorer-0.3.2-py3-none-any.whl (15.6 kB view details)

Uploaded Python 3

File details

Details for the file wres_explorer-0.3.2.tar.gz.

File metadata

  • Download URL: wres_explorer-0.3.2.tar.gz
  • Upload date:
  • Size: 14.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for wres_explorer-0.3.2.tar.gz
Algorithm Hash digest
SHA256 9cb1b54f7dc4d6b1347a261e1d9ab3fdf9c8bbb064aeb338de81e2feaab0d771
MD5 06b24c105931fbd770aab9ce81cd3fd5
BLAKE2b-256 4d4f0bd25affe2a4b024421dabe06817e69fe88dd11b4c6d471defcd17f25245

See more details on using hashes here.

File details

Details for the file wres_explorer-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: wres_explorer-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 15.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for wres_explorer-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fdb93c61a3bb18de84f48db186879bfde836f53dc304c6b9cede98e07e5a4186
MD5 1be3985faa85207f2e7de798186cf30f
BLAKE2b-256 7170b4d2693aa29a029c5bec3ab530f7e616e6e6373ddd3f37ea3c59ce1c8918

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page