ragraph.plot.utils

RaGraph plot utilities.

get_dmm_grid

get_dmm_grid(
    rows: List[Node],
    cols: List[Node],
    edges: List[Edge],
    style: Style = Style(),
) -> List[List[Union[go.Figure, None]]]

Get grid layout for mdm figure.

Arguments rows: The nodes to be placed on the rows of the matrix. cols: The columns to be placed on the columns of the matrix. edges: The edges to be displayed. style: Plot style option mapping.

Returns Grid of go.Figure objects.

Source code in ragraph/plot/utils.py

def get_dmm_grid(
    rows: List[Node], cols: List[Node], edges: List[Edge], style: Style = Style()
) -> List[List[Union[go.Figure, None]]]:
    """Get grid layout for mdm figure.

    Arguments
        rows: The nodes to be placed on the rows of the matrix.
        cols: The columns to be placed on the columns of the matrix.
        edges: The edges to be displayed.
        style: Plot style option mapping.

    Returns
        Grid of go.Figure objects.
    """
    grid: List[List[Optional[Component]]] = []
    col_num_row: List[Optional[Component]] = []
    col_label_row: List[Optional[Component]] = []
    piemap_row: List[Optional[Component]] = []
    if style.row_col_numbers:
        style.labels.textorientation = "vertical"
        col_label_row = [
            None,
            None,
            Labels(cols, style=style),
        ]
        col_num_row = [
            None,
            None,
            Labels([Node(str(i + 1)) for i in range(len(cols))], style=style),
        ]

        style.labels.textorientation = "horizontal"
        piemap_row = [
            Labels(rows, style=style),
            Labels([Node(str(i + 1)) for i in range(len(rows))], style=style),
            PieMap(rows=rows, cols=cols, edges=edges, style=style),
        ]
    else:
        style.labels.textorientation = "vertical"
        col_label_row = [None, Labels(cols, style=style)]

        style.labels.textorientation = "horizontal"
        piemap_row = [
            Labels(rows, style=style),
            PieMap(rows=rows, cols=cols, edges=edges, style=style),
        ]

    if style.show_legend and edges:
        col_label_row.append(None)
        if col_num_row:
            col_num_row.append(None)
        piemap_row.append(Legend(edges, style=style))

    grid.append(col_label_row)
    if col_num_row:
        grid.append(col_num_row)
    grid.append(piemap_row)

    return grid

get_mdm_grid

get_mdm_grid(
    leafs: List[Node],
    edges: List[Edge],
    style: Style = Style(),
) -> List[List[Optional[Component]]]

Get grid layout for mdm figure.

Arguments leafs: List of nodes to be displayed. edges: The edges to be displayed. style: Plot style option mapping.

Returns Grid of go.Figure objects.

Source code in ragraph/plot/utils.py

def get_mdm_grid(
    leafs: List[Node], edges: List[Edge], style: Style = Style()
) -> List[List[Optional[Component]]]:
    """Get grid layout for mdm figure.

    Arguments
        leafs: List of nodes to be displayed.
        edges: The edges to be displayed.
        style: Plot style option mapping.

    Returns
        Grid of go.Figure objects.
    """
    col_number_row: List[Optional[Component]] = []
    piemap_row: List[Optional[Component]] = []
    grid: List[List[Optional[Component]]] = []

    if style.row_col_numbers:
        style.labels.textorientation = "vertical"
        col_number_row = [
            None,
            None,
            None,
            Labels([Node(str(i + 1)) for i in range(len(leafs))], style=style),
        ]

        style.labels.textorientation = "horizontal"
        piemap_row = [
            Tree(leafs, style=style),
            Labels(leafs, style=style),
            Labels([Node(str(i + 1)) for i in range(len(leafs))], style=style),
            PieMap(rows=leafs, cols=leafs, edges=edges, style=style),
        ]
    else:
        piemap_row = [
            Tree(leafs, style=style),
            Labels(leafs, style=style),
            PieMap(rows=leafs, cols=leafs, edges=edges, style=style),
        ]

    if style.show_legend and edges:
        if col_number_row:
            col_number_row.append(None)
        piemap_row.append(Legend(edges, style=style))

    if col_number_row:
        grid.append(col_number_row)
    grid.append(piemap_row)

    return grid

get_subplots

get_subplots(
    components: List[List[Optional[Component]]],
    style: Style = Style(),
) -> go.Figure

Get a subplots plotly.graph_objects.Figure for the given components list of lists.

Parameters:

Name	Type	Description	Default
components	List[List[Optional[Component]]]	Components to be laid out as subplots based on their width and height properties.	required
style	Style	Style options.	Style()

Source code in ragraph/plot/utils.py

def get_subplots(components: List[List[Optional[Component]]], style: Style = Style()) -> go.Figure:
    """Get a subplots [`plotly.graph_objects.Figure`][plotly.graph_objects.Figure] for the given
    components list of lists.

    Arguments:
        components: Components to be laid out as subplots based on their width and height
            properties.
        style: Style options.
    """
    rows = len(components)

    components_t = list(zip(*components))  # Transpose helper matrix.
    cols = len(components_t)

    min_x_ranges = [
        min(
            [comp.xaxis.range[0] for comp in col if comp and comp.xaxis.range],
            default=0,
        )
        if any(col)
        else 0
        for col in components_t
        if components_t
    ]

    max_x_ranges = [
        max(
            [comp.xaxis.range[1] for comp in col if comp and comp.xaxis.range],
            default=1,
        )
        if any(col)
        else 1
        for col in components_t
    ]

    widths = [(x_max - x_min) * style.boxsize for (x_max, x_min) in zip(max_x_ranges, min_x_ranges)]

    min_y_ranges = [
        min(
            [comp.yaxis.range[0] for comp in row if comp and comp.yaxis.range],
            default=0,
        )
        if any(row)
        else 0
        for row in components
    ]

    max_y_ranges = [
        max(
            [comp.yaxis.range[1] for comp in row if comp and comp.yaxis.range],
            default=1,
        )
        if any(row)
        else 1
        for row in components
    ]

    heights = [
        (y_max - y_min) * style.boxsize for (y_max, y_min) in zip(max_y_ranges, min_y_ranges)
    ]

    fig = make_subplots(
        rows=rows,
        cols=cols,
        shared_xaxes=True,
        shared_yaxes=True,
        horizontal_spacing=0,
        vertical_spacing=0,
        column_widths=None if sum(widths) == 0 else widths,
        row_heights=None if sum(heights) == 0 else heights,
    )
    fig.layout.update(style.layout)

    shapes, annotations = [], []
    for i, row in enumerate(components):
        y = "y" if i == 0 else f"y{i*cols+1}"
        for j, component in enumerate(row):
            if not component:
                component = Blank()

            x = "x" if i + j == 0 else f"x{j+1+i*cols}"

            # Add traces.
            for trace in component.traces:
                fig.add_trace(trace, i + 1, j + 1)

            # Set shapes' reference axis
            for shape in component.shapes:
                shape.update({"xref": x, "yref": y})

            # Add annotations.
            for annotation in component.annotations:
                annotation.update({"xref": x, "yref": y})

            shapes.extend(component.shapes)
            annotations.extend(component.annotations)

            component.xaxis.update(range=(min_x_ranges[j], max_x_ranges[j]))
            component.yaxis.update(range=(min_y_ranges[i], max_y_ranges[i]))

            component.width = widths[j]
            component.height = heights[i]

            # Axis overrides
            fig.update_xaxes(row=i + 1, col=j + 1, patch=component.xaxis)
            fig.update_yaxes(row=i + 1, col=j + 1, patch=component.yaxis)

    fig.layout.shapes = shapes
    fig.layout.annotations = annotations

    margin = style.layout.margin
    fig.layout.update(
        {
            "width": sum(widths) + margin["l"] + margin["r"],
            "height": sum(heights) + margin["t"] + margin["b"],
        }
    )

    return fig

get_swatchplot

get_swatchplot(
    *args: Iterable[List[str]],
    **kwargs: Dict[str, List[str]]
) -> go.Figure

Swatch plot of colormaps.

Parameters:

Name	Type	Description	Default
*args	Iterable[List[str]]	Hex coded color lists.	()
**kwargs	Dict[str, List[str]]	Names to hex coded color lists.	{}

Returns:

Type	Description
Figure	Plotly figure.

Source code in ragraph/plot/utils.py

def get_swatchplot(*args: Iterable[List[str]], **kwargs: Dict[str, List[str]]) -> go.Figure:
    """Swatch plot of colormaps.

    Arguments:
        *args: Hex coded color lists.
        **kwargs: Names to hex coded color lists.

    Returns:
        Plotly figure.
    """
    colormaps = kwargs
    for i, colormap in enumerate(args):
        colormaps[str(i)] = colormap
    bars = [
        go.Bar(
            orientation="h",
            y=[name] * len(colors),
            x=[1] * len(colors),
            customdata=list(range(len(colors))),
            marker=dict(color=colors),
            hovertemplate="%{y}[%{customdata}] = %{marker.color}<extra></extra>",
        )
        for name, colors in colormaps.items()
    ]

    fig = go.Figure(
        data=bars[::-1],
        layout=dict(
            barmode="stack",
            barnorm="fraction",
            bargap=0.5,
            showlegend=False,
            xaxis=dict(range=[-0.02, 1.02], showticklabels=False, showgrid=False),
            height=max(600, 40 * len(colormaps)),
            margin=dict(b=10),
        ),
    )

    return fig

process_fig

process_fig(
    fig: go.Figure,
    style: Style = Style(),
    show: bool = True,
) -> Optional[go.Figure]

Show figure with config if show is set, otherwise return figure unchanged.

Parameters:

Name	Type	Description	Default
fig	Figure	Plotly figure.	required
style	Style	Style containing additional config.	Style()
show	bool	Whether to show the figure inline.	True

Source code in ragraph/plot/utils.py

def process_fig(fig: go.Figure, style: Style = Style(), show: bool = True) -> Optional[go.Figure]:
    """Show figure with config if `show` is set, otherwise return figure unchanged.

    Arguments:
        fig: Plotly figure.
        style: Style containing additional config.
        show: Whether to show the figure inline.
    """
    if show:
        style.config["toImageButtonOptions"] = dict(
            format="svg",
            filename="ragraph_plot",
            width=fig.layout.width,
            height=fig.layout.height,
            margin=dict(l=0, t=0, r=0, b=0),
        )
        fig.show(config=style.config)
        return None
    else:
        return fig