Exemplo n.º 1
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def set_xy_labels(units, kpc_per_arcsec, xlabelsize, ylabelsize, xyticksize):
    """Set the x and y labels of the figure, and set the fontsize of those labels.

    The x and y labels are always the distance scales, thus the labels are either arc-seconds or kpc and depend on the \
    units the figure is plotted in.

    Parameters
    -----------
    units : str
        The units of the y / x axis of the plots, in arc-seconds ('arcsec') or kiloparsecs ('kpc').
    kpc_per_arcsec : float
        The conversion factor between arc-seconds and kiloparsecs, required to plot the units in kpc.
    xlabelsize : int
        The fontsize of the x axes label.
    ylabelsize : int
        The fontsize of the y axes label.
    xyticksize : int
        The font size of the x and y ticks on the figure axes.
    """
    if units in 'arcsec' or kpc_per_arcsec is None:

        plt.xlabel('x (arcsec)', fontsize=xlabelsize)
        plt.ylabel('y (arcsec)', fontsize=ylabelsize)

    elif units in 'kpc':

        plt.xlabel('x (kpc)', fontsize=xlabelsize)
        plt.ylabel('y (kpc)', fontsize=ylabelsize)

    else:
        raise exc.PlottingException(
            'The units supplied to the plotted are not a valid string (must be pixels | '
            'arcsec | kpc)')

    plt.tick_params(labelsize=xyticksize)
Exemplo n.º 2
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def convert_grid_units(array, grid_arcsec, units, kpc_per_arcsec):
    """Convert the grid from its input units (arc-seconds) to the input unit (e.g. retain arc-seconds) or convert to \
    another set of units (pixels or kilo parsecs).

    Parameters
    -----------
    array : data_type.array.scaled_array.ScaledArray
        The 2D array of data_type which is plotted, the shape of which is used for converting the grid to units of pixels.
    grid_arcsec : ndarray or data_type.array.grids.Grid
        The (y,x) coordinates of the grid in arc-seconds, in an array of shape (total_coordinates, 2).
    units : str
        The units of the y / x axis of the plots, in arc-seconds ('arcsec') or kiloparsecs ('kpc').
    kpc_per_arcsec : float
        The conversion factor between arc-seconds and kiloparsecs, required to plot the units in kpc.
    """
    if units in "pixels":
        return array.grid_arcsec_to_grid_pixels(grid_arcsec=grid_arcsec)
    elif units in "arcsec" or kpc_per_arcsec is None:
        return grid_arcsec
    elif units in "kpc":
        return grid_arcsec * kpc_per_arcsec
    else:
        raise exc.PlottingException(
            "The units supplied to the plotter are not a valid string (must be pixels | "
            "arcsec | kpc)")
Exemplo n.º 3
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def get_normalization_scale(norm, norm_min, norm_max, linthresh, linscale):
    """Get the normalization scale of the colormap. This will be scaled based on the input min / max normalization \
    values.

    For a 'symmetric_log' colormap, linthesh and linscale also change the colormap.

    If norm_min / norm_max are not supplied, the minimum / maximum values of the array of data are used.

    Parameters
    -----------
    array : data.array.scaled_array.ScaledArray
        The 2D array of data which is plotted.
    norm_min : float or None
        The minimum array value the colormap map spans (all values below this value are plotted the same color).
    norm_max : float or None
        The maximum array value the colormap map spans (all values above this value are plotted the same color).
    linthresh : float
        For the 'symmetric_log' colormap normalization ,this specifies the range of values within which the colormap \
        is linear.
    linscale : float
        For the 'symmetric_log' colormap normalization, this allowws the linear range set by linthresh to be stretched \
        relative to the logarithmic range.
    """
    if norm is 'linear':
        return colors.Normalize(vmin=norm_min, vmax=norm_max)
    elif norm is 'log':
        if norm_min == 0.0:
            norm_min = 1.e-4
        return colors.LogNorm(vmin=norm_min, vmax=norm_max)
    elif norm is 'symmetric_log':
        return colors.SymLogNorm(linthresh=linthresh, linscale=linscale, vmin=norm_min, vmax=norm_max)
    else:
        raise exc.PlottingException('The normalization (norm) supplied to the plotter is not a valid string (must be '
                                     'linear | log | symmetric_log')
Exemplo n.º 4
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def get_extent(array, units, kpc_per_arcsec, xticks_manual, yticks_manual):
    """Get the extent of the dimensions of the array in the units of the figure (e.g. arc-seconds or kpc).

    This is used to set the extent of the array and thus the y / x axis limits.

    Parameters
    -----------
    array : data.array.scaled_array.ScaledArray
        The 2D array of data which is plotted.
    units : str
        The units of the y / x axis of the plots, in arc-seconds ('arcsec') or kiloparsecs ('kpc').
    kpc_per_arcsec : float
        The conversion factor between arc-seconds and kiloparsecs, required to plot the units in kpc.
    xticks_manual :  [] or None
        If input, the xticks do not use the array's default xticks but instead overwrite them as these values.
    yticks_manual :  [] or None
        If input, the yticks do not use the array's default yticks but instead overwrite them as these values.
    """
    if xticks_manual is not None and yticks_manual is not None:
        return np.asarray([xticks_manual[0], xticks_manual[3], yticks_manual[0], yticks_manual[3]])

    if units in 'pixels':
        return np.asarray([0, array.shape[1], 0, array.shape[0]])
    elif units in 'arcsec' or kpc_per_arcsec is None:
        return np.asarray([array.arc_second_minima[1], array.arc_second_maxima[1],
                           array.arc_second_minima[0], array.arc_second_maxima[0]])
    elif units in 'kpc':
        return list(map(lambda tick : tick*kpc_per_arcsec,
                        np.asarray([array.arc_second_minima[1], array.arc_second_maxima[1],
                                    array.arc_second_minima[0], array.arc_second_maxima[0]])))
    else:
        raise exc.PlottingException('The units supplied to the plotted are not a valid string (must be pixels | '
                                     'arcsec | kpc)')
Exemplo n.º 5
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def set_colorbar(cb_ticksize, cb_fraction, cb_pad, cb_tick_values,
                 cb_tick_labels):
    """Setup the colorbar of the figure, specifically its ticksize and the size is appears relative to the figure.

    Parameters
    -----------
    cb_ticksize : int
        The size of the tick labels on the colorbar.
    cb_fraction : float
        The fraction of the figure that the colorbar takes up, which resizes the colorbar relative to the figure.
    cb_pad : float
        Pads the color bar in the figure, which resizes the colorbar relative to the figure.
    cb_tick_values : [float]
        Manually specified values of where the colorbar tick labels appear on the colorbar.
    cb_tick_labels : [float]
        Manually specified labels of the color bar tick labels, which appear where specified by cb_tick_values.
    """

    if cb_tick_values is None and cb_tick_labels is None:
        cb = plt.colorbar(fraction=cb_fraction, pad=cb_pad)
    elif cb_tick_values is not None and cb_tick_labels is not None:
        cb = plt.colorbar(fraction=cb_fraction,
                          pad=cb_pad,
                          ticks=cb_tick_values)
        cb.ax.set_yticklabels(cb_tick_labels)
    else:
        raise exc.PlottingException(
            "Only 1 entry of cb_tick_values or cb_tick_labels was input. You must either supply"
            "both the values and labels, or neither.")

    cb.ax.tick_params(labelsize=cb_ticksize)
Exemplo n.º 6
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def plot_y_vs_x(y, x, plot_axis_type, label):

    if plot_axis_type is "linear":
        plt.plot(x, y, label=label)
    elif plot_axis_type is "semilogy":
        plt.semilogy(x, y, label=label)
    elif plot_axis_type is "loglog":
        plt.loglog(x, y, label=label)
    else:
        raise exc.PlottingException(
            "The plot_axis_type supplied to the plotter is not a valid string (must be linear "
            "| semilogy | loglog)")
Exemplo n.º 7
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def plot_model_image_of_planes(
        fit, plot_foreground=False, plot_source=False, mask=None, extract_array_from_mask=False, zoom_around_mask=False,
        positions=None, as_subplot=False,
        units='arcsec', kpc_per_arcsec=None, figsize=(7, 7), aspect='equal',
        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,
        title='Fit Model Image', titlesize=16, xlabelsize=16, ylabelsize=16, xyticksize=16,
        mask_pointsize=10, position_pointsize=10,
        output_path=None, output_format='show', output_filename='fit_model_image_of_plane'):
    """Plot the model image of a specific plane of a lens fit.

    Set *autolens.datas.array.plotters.array_plotters* for a description of all input parameters not described below.

    Parameters
    -----------
    fit : datas.fitting.fitting.AbstractFitter
        The fit to the datas, which includes a list of every model image, residual_map, chi-squareds, etc.
    plane_indexes : [int]
        The plane from which the model image is generated.
    """

    if plot_foreground:

        if fit.tracer.total_planes == 2:
            model_image = fit.model_image_of_planes[0]
        else:
            model_image = sum(fit.model_image_of_planes[0:-2])

    elif plot_source:

        model_image = fit.model_image_of_planes[-1]

    else:

        raise exc.PlottingException('Both plot_foreground and plot_source were False, one must be True')

    array_plotters.plot_array(
        array=model_image, mask=mask, extract_array_from_mask=extract_array_from_mask,
        zoom_around_mask=zoom_around_mask, positions=positions, as_subplot=as_subplot,
        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,
        title=title, titlesize=titlesize, xlabelsize=xlabelsize, ylabelsize=ylabelsize, xyticksize=xyticksize,
        mask_pointsize=mask_pointsize, position_pointsize=position_pointsize,
        output_path=output_path, output_format=output_format, output_filename=output_filename)
Exemplo n.º 8
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def plot_vertical_lines(vertical_lines, vertical_line_labels, units,
                        kpc_per_arcsec):

    if vertical_lines is [] or vertical_lines is None:
        return

    for vertical_line, vertical_line_label in zip(vertical_lines,
                                                  vertical_line_labels):

        if units in "arcsec" or kpc_per_arcsec is None:
            x_value_plot = vertical_line
        elif units in "kpc":
            x_value_plot = vertical_line
        else:
            raise exc.PlottingException(
                "The units supplied to the plotter are not a valid string (must be pixels | "
                "arcsec | kpc)")

        plt.axvline(x=x_value_plot, label=vertical_line_label, linestyle="--")
Exemplo n.º 9
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def set_xy_labels_and_ticksize(units, kpc_per_arcsec, ylabel, xlabelsize,
                               ylabelsize, xyticksize):
    """Set the x and y labels of the figure, and set the fontsize of those labels.

    The x label is always the distance scale / radius, thus the x-label is either arc-seconds or kpc and depending \
    on the units the figure is plotted in.

    The ylabel is the physical quantity being plotted and is passed as an input parameter.

    Parameters
    -----------
    units : str
        The units of the y / x axis of the plots, in arc-seconds ('arcsec') or kiloparsecs ('kpc').
    kpc_per_arcsec : float
        The conversion factor between arc-seconds and kiloparsecs, required to plot the units in kpc.
    ylabel : str
        The y-label of the figure, which is the physical quantitiy being plotted.
    xlabelsize : int
        The fontsize of the x axes label.
    ylabelsize : int
        The fontsize of the y axes label.
    xyticksize : int
        The font size of the x and y ticks on the figure axes.
    """

    plt.ylabel(ylabel=ylabel, fontsize=ylabelsize)

    if units in "arcsec" or kpc_per_arcsec is None:

        plt.xlabel("x (arcsec)", fontsize=xlabelsize)

    elif units in "kpc":

        plt.xlabel("x (kpc)", fontsize=xlabelsize)

    else:
        raise exc.PlottingException(
            "The units supplied to the plotter are not a valid string (must be pixels | "
            "arcsec | kpc)")

    plt.tick_params(labelsize=xyticksize)
Exemplo n.º 10
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def output_subplot_array(output_path, output_filename, output_format):
    """Output a figure which consists of a set of subplot,, either as an image on the screen or to the hard-disk as a \
    .png file.

    Parameters
    -----------
    output_path : str
        The path on the hard-disk where the figure is output.
    output_filename : str
        The filename of the figure that is output.
    output_format : str
        The format the figue is output:
        'show' - display on computer screen.
        'png' - output to hard-disk as a png.
    """
    if output_format is 'show':
        plt.show()
    elif output_format is 'png':
        plt.savefig(output_path + output_filename + '.png',
                    bbox_inches='tight')
    elif output_format is 'fits':
        raise exc.PlottingException(
            'You cannot output a subplots with format .fits')
Exemplo n.º 11
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def plot_galaxy_data_array(
    galaxy_data,
    mask=None,
    extract_array_from_mask=False,
    zoom_around_mask=False,
    positions=None,
    as_subplot=False,
    units="arcsec",
    kpc_per_arcsec=None,
    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=10.0,
    grid_pointsize=1,
    output_path=None,
    output_filename="galaxy_data",
    output_format="show",
):

    if galaxy_data.use_image:
        title = "Galaxy Data Image"
    elif galaxy_data.use_convergence:
        title = "Galaxy Data Convergence"
    elif galaxy_data.use_potential:
        title = "Galaxy Data Potential"
    elif galaxy_data.use_deflections_y:
        title = "Galaxy Data Deflections (y)"
    elif galaxy_data.use_deflections_x:
        title = "Galaxy Data Deflections (x)"
    else:
        raise exc.PlottingException(
            "The galaxy data_type array does not have a True use_profile_type")

    array_plotters.plot_array(
        array=galaxy_data.image(return_in_2d=True),
        mask=mask,
        extract_array_from_mask=extract_array_from_mask,
        zoom_around_mask=zoom_around_mask,
        positions=positions,
        as_subplot=as_subplot,
        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,
        title=title,
        titlesize=titlesize,
        xlabelsize=xlabelsize,
        ylabelsize=ylabelsize,
        xyticksize=xyticksize,
        mask_pointsize=mask_pointsize,
        position_pointsize=position_pointsize,
        grid_pointsize=grid_pointsize,
        output_path=output_path,
        output_format=output_format,
        output_filename=output_filename,
    )
Exemplo n.º 12
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def plot_galaxy_data_array(galaxy_data,
                           mask=None,
                           extract_array_from_mask=False,
                           zoom_around_mask=False,
                           positions=None,
                           as_subplot=False,
                           units='arcsec',
                           kpc_per_arcsec=None,
                           figsize=None,
                           aspect='equal',
                           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,
                           titlesize=10,
                           xlabelsize=10,
                           ylabelsize=10,
                           xyticksize=10,
                           mask_pointsize=10,
                           position_pointsize=10.0,
                           grid_pointsize=1,
                           output_path=None,
                           output_filename='galaxy_data',
                           output_format='show'):

    if galaxy_data.use_intensities:
        title = 'Galaxy Data Intensities'
    elif galaxy_data.use_surface_density:
        title = 'Galaxy Data Surface Density'
    elif galaxy_data.use_potential:
        title = 'Galaxy Data Potential'
    elif galaxy_data.use_deflections_y:
        title = 'Galaxy Data Deflections (y)'
    elif galaxy_data.use_deflections_x:
        title = 'Galaxy Data Deflections (x)'
    else:
        raise exc.PlottingException(
            'The galaxy data array does not have a True use_profile_type')

    array_plotters.plot_array(array=galaxy_data.image,
                              mask=mask,
                              extract_array_from_mask=extract_array_from_mask,
                              zoom_around_mask=zoom_around_mask,
                              positions=positions,
                              as_subplot=as_subplot,
                              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,
                              title=title,
                              titlesize=titlesize,
                              xlabelsize=xlabelsize,
                              ylabelsize=ylabelsize,
                              xyticksize=xyticksize,
                              mask_pointsize=mask_pointsize,
                              position_pointsize=position_pointsize,
                              grid_pointsize=grid_pointsize,
                              output_path=output_path,
                              output_format=output_format,
                              output_filename=output_filename)