autolens/lens/plotters/lens_fit_plotters.py
def plot_fit_subplot_lens_plane_only(
        fit, should_plot_mask=True, extract_array_from_mask=False, zoom_around_mask=False, positions=None,
        should_plot_image_plane_pix=False,
        units='arcsec', figsize=None, aspect='square',
        cmap='jet', norm='linear', norm_min=None, norm_max=None, linthresh=0.05, linscale=0.01,
        cb_ticksize=10, cb_fraction=0.047, cb_pad=0.01, cb_tick_values=None, cb_tick_labels=None,
        titlesize=10, xlabelsize=10, ylabelsize=10, xyticksize=10,
        mask_pointsize=10, position_pointsize=10, grid_pointsize=1,
        output_path=None, output_filename='lens_fit', output_format='show'):
    """Plot the model datas_ of an analysis, using the *Fitter* class object.

    The visualization and output type can be fully customized.

    Parameters
    -----------
    fit : autolens.lens.fitting.Fitter
        Class containing fit between the model datas_ and observed lens datas_ (including residual_map, chi_squared_map etc.)
    output_path : str
        The path where the datas_ is output if the output_type is a file format (e.g. png, fits)
    output_filename : str
        The name of the file that is output, if the output_type is a file format (e.g. png, fits)
    output_format : str
        How the datas_ is output. File formats (e.g. png, fits) output the datas_ to harddisk. 'show' displays the datas_ \
        in the python interpreter window.
    """

    rows, columns, figsize_tool = plotter_util.get_subplot_rows_columns_figsize(number_subplots=6)

    mask = lens_plotter_util.get_mask(fit=fit, should_plot_mask=should_plot_mask)

    if figsize is None:
        figsize = figsize_tool

    plt.figure(figsize=figsize)
    plt.subplot(rows, columns, 1)

    kpc_per_arcsec = fit.tracer.image_plane.kpc_per_arcsec

    image_plane_pix_grid = lens_plotter_util.get_image_plane_pix_grid(should_plot_image_plane_pix, fit)

    lens_plotter_util.plot_image(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,
        positions=positions, image_plane_pix_grid=image_plane_pix_grid, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        grid_pointsize=grid_pointsize, position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 2)

    lens_plotter_util.plot_noise_map(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,
        positions=positions, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 3)

    lens_plotter_util.plot_signal_to_noise_map(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,
        positions=positions, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 4)

    lens_plotter_util.plot_model_data(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 5)

    lens_plotter_util.plot_residual_map(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 6)

    lens_plotter_util.plot_chi_squared_map(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        output_path=output_path, output_filename='', output_format=output_format)

    plotter_util.output_subplot_array(output_path=output_path, output_filename=output_filename,
                                      output_format=output_format)

    plt.close()
def plot_fit_subplot_lens_plane_only(
        fit, should_plot_mask=True, extract_array_from_mask=False, zoom_around_mask=False, positions=None,
        should_plot_image_plane_pix=False,
        units='arcsec', figsize=None, aspect='square',
        cmap='jet', norm='linear', norm_min=None, norm_max=None, linthresh=0.05, linscale=0.01,
        cb_ticksize=10, cb_fraction=0.047, cb_pad=0.01, cb_tick_values=None, cb_tick_labels=None,
        titlesize=10, xlabelsize=10, ylabelsize=10, xyticksize=10,
        mask_pointsize=10, position_pointsize=10, grid_pointsize=1,
        output_path=None, output_filename='lens_fit', output_format='show'):
    """Plot the model datas_ of an analysis, using the *Fitter* class object.

    The visualization and output type can be fully customized.

    Parameters
    -----------
    fit : autolens.lens.fitting.Fitter
        Class containing fit between the model datas_ and observed lens datas_ (including residual_map, chi_squared_map etc.)
    output_path : str
        The path where the datas_ is output if the output_type is a file format (e.g. png, fits)
    output_filename : str
        The name of the file that is output, if the output_type is a file format (e.g. png, fits)
    output_format : str
        How the datas_ is output. File formats (e.g. png, fits) output the datas_ to harddisk. 'show' displays the datas_ \
        in the python interpreter window.
    """

    rows, columns, figsize_tool = plotter_util.get_subplot_rows_columns_figsize(number_subplots=6)

    mask = lens_plotter_util.get_mask(fit=fit, should_plot_mask=should_plot_mask)

    if figsize is None:
        figsize = figsize_tool

    plt.figure(figsize=figsize)
    plt.subplot(rows, columns, 1)

    kpc_per_arcsec = fit.tracer.image_plane.kpc_per_arcsec

    image_plane_pix_grid = lens_plotter_util.get_image_plane_pix_grid(should_plot_image_plane_pix, fit)

    lens_plotter_util.plot_image(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,
        positions=positions, image_plane_pix_grid=image_plane_pix_grid, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        grid_pointsize=grid_pointsize, position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 2)

    lens_plotter_util.plot_noise_map(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,
        positions=positions, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 3)

    lens_plotter_util.plot_signal_to_noise_map(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,
        positions=positions, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 4)

    lens_plotter_util.plot_model_data(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 5)

    lens_plotter_util.plot_residual_map(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        output_path=output_path, output_filename='', output_format=output_format)

    plt.subplot(rows, columns, 6)

    lens_plotter_util.plot_chi_squared_map(
        fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,
        units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,
        cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,
        cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, 
        cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,
        titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        output_path=output_path, output_filename='', output_format=output_format)

    plotter_util.output_subplot_array(output_path=output_path, output_filename=output_filename,
                                      output_format=output_format)

    plt.close()
Plot the model datas_ of an analysis, using the *Fitter* class object.

    The visualization and output type can be fully customized.

    Parameters
    -----------
    fit : autolens.lens.fitting.Fitter
        Class containing fit between the model datas_ and observed lens datas_ (including residual_map, chi_squared_map etc.)
    output_path : str
        The path where the datas_ is output if the output_type is a file format (e.g. png, fits)
    output_filename : str
        The name of the file that is output, if the output_type is a file format (e.g. png, fits)
    output_format : str
        How the datas_ is output. File formats (e.g. png, fits) output the datas_ to harddisk. 'show' displays the datas_ \
        in the python interpreter window.