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This is part of a series of questions related to this project: I have a dataset with 5000+ (x,y) coordinates divvied up into 1300+ groups. Using bokeh and its HoverTool function, I can plot the points and make it such that, when I hover over a given point, line segments appear between that point and every other point in that group. However, while I'm passable in python, I know precisely zero JavaScript.

TapTool Interaction with CustomJS

In addition to appearing when I hover over point, if I click on a point, I want those line segments to remain until I click somewhere else.

I know that bokeh has the TapTool, and I'm reasonably certain that, natively, the HoverTool and the TapTool can coexist quite happily. However, since the HoverTool functionality is implemented in JavaScript, I think that the TapTool functionality needs to be similarly constructed (though I'm happy to be proven wrong).

Here's what I've got so far:

# import packages import pandas as pd from bokeh.models import ColumnDataSource, CustomJS, HoverTool, TapTool from bokeh.plotting import figure, output_file, show # Read in the DataFrame data = pd.read_csv("sanitized_data.csv") # Generate (x, y) data from DataFrame x = list(data["X"]) y = list(data["Y"]) # Generate dictionary of links; for each Col1, I want # there to be a link between each Col3 and every other Col3 in the same Col1 links = {data["Col2"].index[index]:list(data[(data["Col1"]==data["Col1"][index]) & (data["Col2"]!=data["Col2"][index])].index) for index in data["Col2"].index} # bokeh ColumnDataSource1 = (x, y) placeholder coordinates for start and end points of each link source1 = ColumnDataSource({'x0': [], 'y0': [], 'x1': [], 'y1': []}) # bokeh ColumnDataSource2 = DataFrame, itself source2 = ColumnDataSource(data) # bokeh ColumnDataSource3 = associating Col2, Col1, and (x, y) coordinates source3 = ColumnDataSource({"x":x,"y":y,'Col2':list(data['Col2']),'Col1':list(data['Col1'])}) # Set up Graph and Output file output_file("sanitized_example.html") p = figure(width=1900, height=700) # Set up line segment and circle frameworks sr = p.segment(x0='x0', y0='y0', x1='x1', y1='y1', color='red', alpha=0.4, line_width=.5, source=source1, ) cr = p.circle(x='x', y='y', color='blue', size=5, alpha=1, hover_color='orange', hover_alpha=1.0, source=source3) # Add JS string for HoverTool Callback code = """ const links = %s const data = {'x0': [], 'y0': [], 'x1': [], 'y1': []} const indices = cb_data.index.indices for (let i = 0; i < indices.length; i++) { const start = indices[i] for (let j = 0; j < links[start].length; j++) { const end = links[start][j] data['x0'].push(circle.data.x[start]) data['y0'].push(circle.data.y[start]) data['x1'].push(circle.data.x[end]) data['y1'].push(circle.data.y[end]) } } segment.data = data """ % links # Add JS string for DataTable populating # Establish Tooltips TOOLTIPS = [("Col2","@Col2"), ("Col1","@Col1")] # Create JavaScript Callbacks callback = CustomJS(args={'circle': cr.data_source, 'segment': sr.data_source}, code=code) # Add tools to the Graph p.add_tools(HoverTool(tooltips=TOOLTIPS, callback=callback, renderers=[cr])) p.add_tools(TapTool()) # Show the graph show(p)

A dataset is available at the linked github page. Unfortunately, I don't even know where to start from here.

Edit: I found something! This SO post may have the answer I'm looking for.

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Okay, a guy at work helped me out immensely: according to the documentation, when you use the HoverTool(callback) parameter, cb_data contains an index field. However, when you use the TapTool(callback) parameter, cb_data doesn't contain that field. Instead, the indices are accessed through the cb_obj object:

# import packages import pandas as pd from bokeh.models import ColumnDataSource, CustomJS, HoverTool, TapTool from bokeh.plotting import figure, output_file, show # Read in the DataFrame data = pd.read_csv("sanitized_data.csv") # Generate (x, y) data from DataFrame x = list(data["X"]) y = list(data["Y"]) # Generate dictionary of links; for each Col1, I want # there to be a link between each Col3 and every other Col3 in the same Col1 links = {data["Col2"].index[index]:list(data[(data["Col1"]==data["Col1"][index]) & (data["Col2"]!=data["Col2"][index])].index) for index in data["Col2"].index} links_list = [] for key in links.keys(): links_list.append(links[key]) # bokeh ColumnDataSource1 = (x, y) placeholder coordinates for start and end points of each link source1 = ColumnDataSource({'x0': [], 'y0': [], 'x1': [], 'y1': []}) # bokeh ColumnDataSource2 = DataFrame, itself source2 = ColumnDataSource({'x0': [], 'y0': [], 'x1': [], 'y1': []}) # bokeh ColumnDataSource3 = associating Col2, Col1, and (x, y) coordinates source3 = ColumnDataSource({"x":x,"y":y,'Col2':list(data['Col2']),'Col1':list(data['Col1']), 'Links':links_list}) # Set up Graph and Output file output_file("sanitized_example.html") p = figure(width=1900, height=700) # Set up line segment and circle frameworks sr1 = p.segment(x0='x0', y0='y0', x1='x1', y1='y1', color='red', alpha=0.4, line_width=.5, source=source1) sr2 = p.segment(x0='x0', y0='y0', x1='x1', y1='y1', color='red', alpha=0.4, line_width=.5, source=source2) cr = p.circle(x='x', y='y', color='blue', size=5, alpha=1, hover_color='orange', hover_alpha=1.0, source=source3) # Add JS string for HoverTool Callback code_for_hover = """ const links = %s const data = {'x0': [], 'y0': [], 'x1': [], 'y1': []} const indices = cb_data.index.indices for (let i = 0; i < indices.length; i++) { const start = indices[i] for (let j = 0; j < links[start].length; j++) { const end = links[start][j] data['x0'].push(circle.data.x[start]) data['y0'].push(circle.data.y[start]) data['x1'].push(circle.data.x[end]) data['y1'].push(circle.data.y[end]) } } segment.data = data """ % links # Add JS string for Tap segments code_for_tap = """ const links = %s; const data = {'x0': [], 'y0': [], 'x1': [], 'y1': []}; const indices = cb_obj.indices; for (let i = 0; i < indices.length; i++) { const start = indices[i]; for (let j = 0; j < links[start].length; j++) { const end = links[start][j]; data['x0'].push(circle.data.x[start]); data['y0'].push(circle.data.y[start]); data['x1'].push(circle.data.x[end]); data['y1'].push(circle.data.y[end]); } } segment.data = data; """ % links # Establish Tooltips TOOLTIPS = [("Col2","@Col2"), ("Col1","@Col1")] # Create JavaScript Callbacks callback_on_hover = CustomJS(args={'circle': cr.data_source, 'segment': sr1.data_source}, code=code_for_hover) callback_on_tap = CustomJS(args={'circle': cr.data_source, 'segment': sr2.data_source}, code=code_for_tap) # Add tools to the Graph p.add_tools(HoverTool(tooltips=TOOLTIPS, callback=callback_on_hover, renderers=[cr])) p.add_tools(TapTool()) source3.selected.js_on_change('indices', callback_on_tap) # Show the graph show(p)

The only caveat is that it seems like I needed to have a duplicate ColumnDataSource so that the HoverTool and the TapTool can have unfettered access to the data without the other tool interfering.

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