Skip to main content

a Python data visualization library for (satellite) instrument monitoring

Project description

moniplot

Package Release Package Status PyPI Downloads DOI

Moniplot is a Python data visualization library based on matplotlib and xarray. It provides a high-level interface for drawing attractive and informative graphics for onground calibration data analysis or inflight instrument monitoring.

Documentation

Online documentation is available from Read the Docs.

Installation

The module moniplot requires Python3.8+ and Python modules: cartopy, h5py, matplotlib, numpy and xarray.

Installation instructions are provided on Read the Docs or in the INSTALL file.

Origin

Several modules from the package pys5p have been moved to moniplot, because they are not specific for the data of Sentinel 5 precursor.

  • module biweight.py - contains a Python implementation of the Tukey's biweight algorithm.
  • module tol_colors.py - definition of colour schemes for lines and maps that also work for colour-blind people by Paul Tol.
  • module s5p_plot.py - the class S5Pplot is rewritten and now available as MONplot in the module mon_plot.py.

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

moniplot-1.0.0.tar.gz (79.8 kB view hashes)

Uploaded Source

Built Distribution

moniplot-1.0.0-py3-none-any.whl (68.0 kB view hashes)

Uploaded Python 3

Supported by

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