Skip to main content

ebas-plot

Plotting utilities for EBAS NetCDF datasets.

Installation

For normal use, install the latest released version from the public Python Package Index (PyPI):

python3 -m pip install ebas-plot

This installs a fixed release, such as 0.1.0, together with its required dependencies. It is the recommended installation method.

Usage

Command line

ebas-plot <url>

<url> can be a local EBAS NetCDF file or a remote EBAS dataset:

  • /path/to/dataset.nc
  • https://doi.nilu.no/doi/8HWP-FRNN
  • https://doi.org/10.48597/8HWP-FRNN
  • https://thredds.nilu.no/thredds/dodsC/ebas_doi/...
  • https://thredds.nilu.no/thredds/fileServer/ebas_doi/...

The plot type is selected automatically: datasets with a d_D dimension are shown as PNSD heatmaps; other supported EBAS datasets are shown as time series.

Choose the time-series rendering explicitly with --mode line or --mode scatter:

ebas-plot --mode scatter /path/to/dataset.nc

Limit the plotted time range with --time "[START,END]" (inclusive ISO dates/times; leave one side empty for an open-ended range, e.g. "[2020-01-01,]"). When omitted, the whole dataset is plotted. For remote datasets only the selected range is fetched over OPeNDAP. An invalid format prints the expected format and exits:

ebas-plot --time "[2020-01-01,2020-12-31]" https://doi.nilu.no/doi/8HWP-FRNN

Use --var_plots to open one plot per physical quantity rather than one combined time-series plot:

ebas-plot --var_plots https://doi.nilu.no/doi/8HWP-FRNN

As a library

from ebas_plot import open_dataset, plot, plot_pnsd, plot_timeseries

# Auto-detect a remote dataset's plot type.
fig = plot("https://doi.nilu.no/doi/8HWP-FRNN")
fig.show()

# Open a local EBAS NetCDF file and select scatter points.
ds = open_dataset("/path/to/dataset.nc")
fig = plot_timeseries(ds, mode="scatter")
fig.show()

# Produce one time-series figure per physical quantity.
figures = plot("https://doi.nilu.no/doi/8HWP-FRNN", var_plots=True, mode="line")
for figure in figures:
	figure.show()

# Only fetch and plot 2020 (whole dataset if time is omitted).
fig = plot("https://doi.nilu.no/doi/8HWP-FRNN", time="[2020-01-01,2020-12-31]")
ds = open_dataset("https://doi.nilu.no/doi/8HWP-FRNN", time=("2020-01-01", None))

License

Copyright (C) 2026 Lise Eder Murberg, Marthe Brevig, and Jonathan Elias Holme.

This project is licensed under the GNU Affero General Public License, version 3 or later (AGPL-3.0-or-later). The full license text is available at https://www.gnu.org/licenses/agpl-3.0.html.

Metadata

Release files for ebas-plot 0.2.3

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

Source distribution (sdist)

Source distribution for ebas-plot 0.2.3
File Size Uploaded
ebas_plot-0.2.3.tar.gz 16.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ebas-plot 0.2.3
File Interpreter ABI Platform
ebas_plot-0.2.3-py3-none-any.whl Python 3 none any Details

Total release size: 33.9 kB

Release files / ebas_plot-0.2.3.tar.gz

Download URL ebas_plot-0.2.3.tar.gz
Size 16.9 kB
Tags Source
SHA-256 checksum
How to use checksums
c57371c7ce6e17da80f7595a36c8ea29b0c5730ca0507304dca9d7eda6cf663c
BLAKE2b-256 checksum
How to use checksums
3d151c55e297f2995a41646c51efcc8dda609b4247a60b27083b7e3762bb7a7b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.16

Release files / ebas_plot-0.2.3-py3-none-any.whl

Download URL ebas_plot-0.2.3-py3-none-any.whl
Size 17.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3128bd11aa91521bdbf8d3663cb70a2c09968f64ba62ba1414269e70fca033fa
BLAKE2b-256 checksum
How to use checksums
b65cdd3df8ac74fce5d0c6564c60e95b2eaef72951b1f9456b40703f4db86eaf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.13.16

Release history Release notifications | RSS feed

0.2.5

2 release files

0.2.4

2 release files

This release

0.2.3 This release

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

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