A simple function for converting a SVG file to plotly

svg_to_plotly_fig.py

import base64
import xml
import plotly.graph_objects as go

def svg_to_fig(svg_bytes, title=None, plot_bgcolor='white', x_lock=False, y_lock=False):
    svg_enc = base64.b64encode(svg_bytes)
    svg = f'data:image/svg+xml;base64, {svg_enc.decode()}'
    
    # Get the width and height
    xml_tree = xml.etree.ElementTree.fromstring(svg_bytes.decode())
    img_width = int(xml_tree.attrib['width'].strip('pt'))
    img_height = int(xml_tree.attrib['height'].strip('pt'))

    fig = go.Figure()
    # Add invisible scatter trace.
    # This trace is added to help the autoresize logic work.
    fig.add_trace(
        go.Scatter(
            x=[0, img_width],
            y=[img_height, 0],
            mode="markers",
            marker_opacity=0,
            hoverinfo="none",
        )
    )
    fig.add_layout_image(
        dict(
            source=svg,
            x=0,
            y=0,
            xref="x",
            yref="y",
            sizex=img_width,
            sizey=img_height,
            opacity=1,
            layer="below",
        )
    )

    # Adapt axes to the right width and height, lock aspect ratio
    fig.update_xaxes(
        showgrid=False, 
        visible=False,
        range=[0, img_width]
    )
    fig.update_yaxes(
        showgrid=False,
        visible=False,
        range=[img_height, 0],
    )
    
    if x_lock is True:
        fig.update_xaxes(constrain='domain')
    if y_lock is True:
        fig.update_yaxes(
            scaleanchor="x",
            scaleratio=1
        )
    
    fig.update_layout(plot_bgcolor=plot_bgcolor)

    if title:
        fig.update_layout(title=title)

    return fig