def plot_fit_subplot_lens_plane_only(<EOL>fit, should_plot_mask=True, extract_array_from_mask=False, zoom_around_mask=False, positions=None,<EOL>should_plot_image_plane_pix=False,<EOL>units='<STR_LIT>', figsize=None, aspect='<STR_LIT>',<EOL>cmap='<STR_LIT>', norm='<STR_LIT>', norm_min=None, norm_max=None, linthresh=<NUM_LIT>, linscale=<NUM_LIT>,<EOL>cb_ticksize=<NUM_LIT:10>, cb_fraction=<NUM_LIT>, cb_pad=<NUM_LIT>, cb_tick_values=None, cb_tick_labels=None,<EOL>titlesize=<NUM_LIT:10>, xlabelsize=<NUM_LIT:10>, ylabelsize=<NUM_LIT:10>, xyticksize=<NUM_LIT:10>,<EOL>mask_pointsize=<NUM_LIT:10>, position_pointsize=<NUM_LIT:10>, grid_pointsize=<NUM_LIT:1>,<EOL>output_path=None, output_filename='<STR_LIT>', output_format='<STR_LIT>'):
rows, columns, figsize_tool = plotter_util.get_subplot_rows_columns_figsize(number_subplots=<NUM_LIT:6>)<EOL>mask = lens_plotter_util.get_mask(fit=fit, should_plot_mask=should_plot_mask)<EOL>if figsize is None:<EOL><INDENT>figsize = figsize_tool<EOL><DEDENT>plt.figure(figsize=figsize)<EOL>plt.subplot(rows, columns, <NUM_LIT:1>)<EOL>kpc_per_arcsec = fit.tracer.image_plane.kpc_per_arcsec<EOL>image_plane_pix_grid = lens_plotter_util.get_image_plane_pix_grid(should_plot_image_plane_pix, fit)<EOL>lens_plotter_util.plot_image(<EOL>fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,<EOL>positions=positions, image_plane_pix_grid=image_plane_pix_grid, as_subplot=True,<EOL>units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,<EOL>cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,<EOL>cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, <EOL>cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,<EOL>titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,<EOL>grid_pointsize=grid_pointsize, position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,<EOL>output_path=output_path, output_filename='<STR_LIT>', output_format=output_format)<EOL>plt.subplot(rows, columns, <NUM_LIT:2>)<EOL>lens_plotter_util.plot_noise_map(<EOL>fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,<EOL>positions=positions, as_subplot=True,<EOL>units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,<EOL>cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,<EOL>cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, <EOL>cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,<EOL>titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,<EOL>position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,<EOL>output_path=output_path, output_filename='<STR_LIT>', output_format=output_format)<EOL>plt.subplot(rows, columns, <NUM_LIT:3>)<EOL>lens_plotter_util.plot_signal_to_noise_map(<EOL>fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask,<EOL>positions=positions, as_subplot=True,<EOL>units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,<EOL>cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,<EOL>cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, <EOL>cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,<EOL>titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,<EOL>position_pointsize=position_pointsize, mask_pointsize=mask_pointsize,<EOL>output_path=output_path, output_filename='<STR_LIT>', output_format=output_format)<EOL>plt.subplot(rows, columns, <NUM_LIT:4>)<EOL>lens_plotter_util.plot_model_data(<EOL>fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,<EOL>units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,<EOL>cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,<EOL>cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, <EOL>cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,<EOL>titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,<EOL>output_path=output_path, output_filename='<STR_LIT>', output_format=output_format)<EOL>plt.subplot(rows, columns, <NUM_LIT:5>)<EOL>lens_plotter_util.plot_residual_map(<EOL>fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,<EOL>units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,<EOL>cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,<EOL>cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, <EOL>cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,<EOL>titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,<EOL>output_path=output_path, output_filename='<STR_LIT>', output_format=output_format)<EOL>plt.subplot(rows, columns, <NUM_LIT:6>)<EOL>lens_plotter_util.plot_chi_squared_map(<EOL>fit=fit, mask=mask, extract_array_from_mask=extract_array_from_mask, zoom_around_mask=zoom_around_mask, as_subplot=True,<EOL>units=units, kpc_per_arcsec=kpc_per_arcsec, figsize=figsize, aspect=aspect,<EOL>cmap=cmap, norm=norm, norm_min=norm_min, norm_max=norm_max, linthresh=linthresh, linscale=linscale,<EOL>cb_ticksize=cb_ticksize, cb_fraction=cb_fraction, cb_pad=cb_pad, <EOL>cb_tick_values=cb_tick_values, cb_tick_labels=cb_tick_labels,<EOL>titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,<EOL>output_path=output_path, output_filename='<STR_LIT>', output_format=output_format)<EOL>plotter_util.output_subplot_array(output_path=output_path, output_filename=output_filename,<EOL>output_format=output_format)<EOL>plt.close()<EOL>
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.