Plotting

It is extremely easy to plot xarray data objects, for example simply by calling xarray.DataArray.plot(). Xarray wraps the matplotlib library and makes its functions available as DataArray and Dataset methods.

Info

Please consult the "Plotting" section of xarray's User Guide to learn about all of its plotting capabilities.

Interactive plots

It is also very easy to produce interactive plots of xarray data objects with hvPlot.

Though xarray's plotting capabilities can be used directly, ozzy does some extra aesthetic tinkering when the plotting submodule, ozzy.plot, is loaded. This submodule activates the following defaults:

Defaults
Curve color scheme	'tol.muted'
Sequential colormap	'cmc.lipari'
Diverging colormap	'cmc.vik'
Font	Noto Serif

Color maps and schemes

Ozzy aims to make scientific plots as accessible and as scientific as possible. In accordance with this principle, the default color maps and color schemes in ozzy.plot are perceptually uniform and readable by people with color-blindness. However, several color options that fulfill these criteria are available, most of which were developed by Fabio Crameri and Paul Tol.

Acknowledging Fabio Crameri's "Scientific colour maps"

Please note that color maps developed by Fabio Crameri, which includes the default color maps vik (diverging) and lipari (sequential), should be acknowledged if used in a published image, for example with:

The Scientific colour map lipari¹ is used in this study to prevent visual distortion of the data and exclusion of readers with colour-vision deficiencies².

A sample of all available color maps and color schemes in ozzy.plot can be produced with:

import ozzy.plot as oplt
oplt.show_cmaps()

Fonts

Ozzy's plotting submodule also bundles a few different open-source fonts:

• Crimson Pro
• Maitree
• Noto Serif
• Roboto Serif
• Source Serif 4
• STIX Two Text

Alternatively, LaTeX font can be used for all text and labels with:

import ozzy.plot as oplt
import matplotlib.pyplot as plt
plt.rcParams["text.usetex"] = True

To see all available fonts on the system, use:

import ozzy.plot as oplt
oplt.show_fonts(samples=True)

See also

• The seaborn library (used by ozzy to set the figure context)
• matplotlib

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1. F. Crameri, "Scientific colour maps". Zenodo, Oct. 05, 2023. doi: 10.5281/zenodo.8409685. ↩

2. F. Crameri, G.E. Shephard, and P.J. Heron, "The misuse of colour in science communication". Nat. Commun. 11, 5444 (2020). doi: 10.1038/s41467-020-19160-7. ↩