Visualize spectrum outputs

API reference

doatools.plotting.plot_spectrum.plot_spectrum_1d(sp, grid, ax, estimates=None, ground_truth=None, use_log_scale=False, discrete=False)[source]

Plots a 1D spectrum or multiple 1D spectra.

Parameters:
  • sp –

    Can be one of the following:

    1. An ndarray representing the spectrum. Usually this is the output of a spectrum-based estimator. This function will draw a single spectrum.
    2. A list or tuple of ndarray of the same shape. This function will draw multiple spectra in the same plot without labels.
    3. A dictionary that maps labels to numpy arrays of the same shape. This function will draw multiple spectra in the same plot with labels.
  • grid (SearchGrid) – The search grid used to generate the spectrum/spectra. Its shape must match that of the spectrum/spectra.
  • ax (Axes) – The matplotlib axes that will be used for plotting.
  • estimates (SourcePlacement) – Estimated source locations. Will be plotted if supplied. Default value is None.
  • ground_truth (SourcePlacement) – True source locations. Will be plotted if supplied. Default value is None.
  • use_log_scale (bool) – Sets whether the spectrum should be plotted in logarithmic scale. Default value is False.
  • discrete (bool) – Sets whether the spectrum should be visualized using stem plots instead of line plots. Default value is False.
Returns:

A list of plot containers with the following structure: [sp1, sp2, ..., spN, est, truth], where sp1, sp2, …, spN are the plot containers of the spectra, est is the plot container of the estimates, and truth is the plot container of the ground truth.
Return type:

list
doatools.plotting.plot_spectrum.plot_spectrum_2d(sp, grid, ax, estimates=None, ground_truth=None, use_log_scale=False, swap_axes=False, color_map='jet')[source]

Plots a 2D spectrum.

Parameters:
  • sp (ndarray) – A 2D ndarray representing the spectrum.
  • grid (SearchGrid) – The search grid used to generate the spectrum. Its shape must match the shape of sp.
  • ax (Axes) – The matplotlib axes that will be used for plotting.
  • estimates (SourcePlacement) – Estimated source locations. Will be plotted if supplied. Default value is None.
  • ground_truth (SourcePlacement) – True source locations. Will be plotted if supplied. Default value is None.
  • use_log_scale (bool) – Sets whether the spectrum should be plotted in logarithmic scale. Default value is False.
  • swap_axes (bool) – Set to True to swap the x and y axis when plotting. Default value is False.
  • color_map – Specifies the color map. Default value is 'jet'.
Returns:

A list of plot containers with the following structure: [sp, est, truth], where sp1 is the plot containers of the spectrum, est is the plot container of the estimates, and truth is the plot container of the ground truth.
Return type:

list
doatools.plotting.plot_spectrum.plot_spectrum(sp, grid, ax=None, figsize=None, estimates=None, ground_truth=None, use_log_scale=False, **kwargs)[source]

Plots the given spectrum/spectra.

Provides a convenient way to plot the given spectrum/spectra. Automatically selects the plot function based on input grid’s number of dimensions.

Parameters:
  • sp – Compatible spectrum (or spectra collection) input.
  • grid (SearchGrid) – The search grid used to generate the spectrum/spectra. Its shape must match that of the spectrum/spectra supplied in sp.
  • ax (Axes) – The matplotlib axes used for plotting. If not specified, a new figure will be created and shown. Default value is None.
  • figsize (tuple) – If ax is None, specifies the new figure’s size.
  • estimates (SourcePlacement) – Estimated source locations. Will be plotted if supplied. Default value is None.
  • ground_truth (SourcePlacement) – True source locations. Will be plotted if supplied. Default value is None.
  • use_log_scale (bool) – Sets whether the spectrum should be plotted in logarithmic scale. Default value is False.
  • **kwargs – Other compatible options depending on the number of dimensions of the input grid. See plot_spectrum_1d() and plot_spectrum_2d() for more details.
Returns:

A tuple consists of the following elements:
Return type:

tuple