plot_filters

speclite.filters.plot_filters(responses, wavelength_unit=None, wavelength_limits=None, wavelength_scale='linear', legend_loc='upper right', legend_ncols=1, response_limits=None, cmap='nipy_spectral')

Plot one or more filter response curves.

The matplotlib package must be installed to use this function. The show <matplotlib.pylot.show() method is not called after creating the plot to allow convenient customization and saving. As a result, you will normally need to call this method yourself.

Parameters:

responsesFilterSequence

The sequence of filters to plot, normally obtained by calling load_filters().

wavelength_unitastropy.units.Unit

Convert values along the wavelength axis to the specified unit, or leave them as default_wavelength_unit if this parameter is None.

wavelength_limitstuple or None

Plot limits to use on the wavelength axis, or select limits automatically if this parameter is None. Units are optional.

wavelength_scalestr

Scaling to use for the wavelength axis. See matplotlib.pyplot.yscale() for details.

legend_locstr

Location of the legend to plot, or do not display any legend if this value is None. See matplotlib.pyplot.legend() for details.

legend_ncolsint

Number of legend columns. Default is 1.

response_limitstuple or None

Plot limits to use on the response axis, or select limits automatically if this parameter is None.

cmapstr or matplotlib.colors.Colormap

Color map to use for plotting each filter band. Colors are assigned based on each band’s effective wavelength, so a spectral color map (from blue to red) will give nice results.