autogalaxy.plot.Colorbar#

class Colorbar[source]#

Bases: AbstractMatWrap

Customizes the colorbar of the plotted figure.

This object wraps the following Matplotlib method:

The colorbar object cb that is created is also customized using the following methods:

Parameters:

  • manual_tick_labels (Optional[List[float]]) – Manually override the colorbar tick labels to an input list of float.

  • manual_tick_values (Optional[List[float]]) – If the colorbar tick labels are manually specified the locations on the colorbar they appear running 0 -> 1.

  • manual_alignment (Optional[str]) – The vertical alignment of the colorbar tick labels, specified via the matplotlib method set_yticklabels and input va.

  • manual_unit (Optional[str]) – The unit label that appears next to the colorbar tick labels, which if not input uses a default unit label specified as cb_unit in the config file `config/visualize/general.yaml.

Methods

set

Set the figure's colorbar, optionally overriding the tick labels and values with manual inputs.

set_with_color_values

Set the figure's colorbar using an array of already known color values.

tick_labels_from

tick_values_from

Attributes

cb_unit

config_category

config_dict

config_folder

log10_min_value

set(units, ax=None, norm=None, cb_unit=None, use_log10=False)[source]#

Set the figure’s colorbar, optionally overriding the tick labels and values with manual inputs.

set_with_color_values(units, cmap, color_values, ax=None, norm=None, use_log10=False)[source]#

Set the figure’s colorbar using an array of already known color values.

This method is used for producing the color bar on a Voronoi mesh plot, which is unable to use the in-built Matplotlib colorbar method.

Parameters:

  • cmap (str) – The colormap used to map normalized data values to RGBA colors (see https://matplotlib.org/3.3.2/api/cm_api.html).

  • color_values (ndarray) – The values of the pixels on the Voronoi mesh which are used to create the colorbar.