Show the molecular 2D structure in the hover tool of a Bokeh plot

mol_structure_bokeh.py

from bokeh.plotting import figure, output_notebook, show
from bokeh.models import ColumnDataSource, HoverTool, CrosshairTool, WheelZoomTool
from bokeh.models import ColorBar, ResetTool, PanTool, LinearColorMapper

import bokeh.palettes as palettes

import matplotlib as mpl
output_notebook()

def get_structures(mol_df):
    #mol_df["img_path"] = ""
    img_path = []
    for mol in range(len(mol_df)):
        Draw.MolToFile(mol_df.ROMol[mol],
                    "static/imgs/"+mol_df.name[mol]+".svg",
                    imageType="svg",
                    fitImage=False,
                    size=(200, 200))
        
        #mol_df["img_path"][mol] = "static/imgs/"+mol_df.name[mol]+".svg"
        img_path.append("static/imgs/"+mol_df.name[mol]+".svg")
        
    mol_df["img_path"] = img_path
    return mol_df


def interactiveplot(df):
    source = ColumnDataSource(mols_pr)
    source.data['HCPSA'] = source.data['HCPSA']/6

    color_maper = LinearColorMapper(palette='Viridis256', low=min(mols_pr.activity), high=max(mols_pr.activity))
    #preparing the hover tooltip with HTML template
    hover = HoverTool(tooltips = """
                <div>
                    <img src="@img_path" width="170" height="170"></img>
                </div> 
                <div>
                    <span style="font-size: 12px; font-weight: bold;">@name</span>
                </div>
                <div>
                    <span style="font-size: 12px; font-weight: bold;">x,y:</span>
                    <span style="font-size: 12px;">@x, @y</span>
                </div>
                    """
                     )

    TOOLS=[hover, CrosshairTool(), WheelZoomTool(), ResetTool(), PanTool()]

    p = figure(plot_width=800, plot_height=800,title="Mouse over the dots", tools=TOOLS, toolbar_location="above")

    p.xgrid.grid_line_color = None
    p.ygrid.grid_line_color = None

    p.scatter('x','y',size='HCPSA',alpha = 0.7,color='activity_color',source = source)

    color_bar = ColorBar(color_mapper=color_maper, label_standoff=12,
                         border_line_color=None, location=(0,0))

    p.add_layout(color_bar, 'right')


    #output_file("test_mol.html")

    show(p)

PD: Run it in a Jupyter Notebook