In my dash app, I’ve set dragmode='drawrect' in my figure layout, because I want to be able to click and drag to create shapes. I also want to be able to click individual data points, but it appears that when dragmode='drawrect' (instead of 'zoom'), clickData is not reported, and so you cannot click on individual points.
Can anyone offer a solution for this? I know this has been discussed before, but it seemed unresolved. Any advice would be helpful!
Using the first example provided in the interactive visualizations page as a minimally working example:
import json
from dash import Dash, dcc, html
from dash.dependencies import Input, Output, State
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = Dash(__name__, external_stylesheets=external_stylesheets)
styles = {
'pre': {
'border': 'thin lightgrey solid',
'overflowX': 'scroll'
}
}
df = pd.DataFrame({
"x": [1, 2, 1, 2],
"y": [1, 2, 3, 4],
"customdata": [1, 2, 3, 4],
"fruit": ["apple", "apple", "orange", "orange"]
})
fig = px.scatter(df, x="x", y="y", color="fruit", custom_data=["customdata"])
drawn_shapes_format = {"drawdirection": "vertical",
"layer": "below",
"fillcolor": "red",
"opacity": 0.51,
"line": {"width": 0}}
fig.update_layout(clickmode='event+select', dragmode='drawrect',
newshape=drawn_shapes_format,
yaxis=dict(fixedrange=True),
xaxis=dict(fixedrange=True))
fig.update_traces(marker_size=20)
app.layout = html.Div([
dcc.Graph(
id='basic-interactions',
figure=fig,
config={'modeBarButtonsToAdd': ["drawrect", "eraseshape"]}
),
html.Div(className='row', children=[
html.Div([
dcc.Markdown("""
**Hover Data**
Mouse over values in the graph.
"""),
html.Pre(id='hover-data', style=styles['pre'])
], className='three columns'),
html.Div([
dcc.Markdown("""
**Click Data**
Click on points in the graph.
"""),
html.Pre(id='click-data', style=styles['pre']),
], className='three columns'),
html.Div([
dcc.Markdown("""
**Selection Data**
Choose the lasso or rectangle tool in the graph's menu
bar and then select points in the graph.
Note that if `layout.clickmode = 'event+select'`, selection data also
accumulates (or un-accumulates) selected data if you hold down the shift
button while clicking.
"""),
html.Pre(id='selected-data', style=styles['pre']),
], className='three columns'),
html.Div([
dcc.Markdown("""
**Zoom and Relayout Data**
Click and drag on the graph to zoom or click on the zoom
buttons in the graph's menu bar.
Clicking on legend items will also fire
this event.
"""),
html.Pre(id='relayout-data', style=styles['pre']),
], className='three columns')
])
])
@app.callback(
Output('hover-data', 'children'),
Input('basic-interactions', 'hoverData'))
def display_hover_data(hoverData):
return json.dumps(hoverData, indent=2)
@app.callback(
Output('click-data', 'children'),
Input('basic-interactions', 'clickData'))
def display_click_data(clickData):
return json.dumps(clickData, indent=2)
@app.callback(
Output('selected-data', 'children'),
Input('basic-interactions', 'selectedData'))
def display_selected_data(selectedData):
return json.dumps(selectedData, indent=2)
@app.callback(
Output('relayout-data', 'children'),
Input('basic-interactions', 'relayoutData'))
def display_relayout_data(relayoutData):
return json.dumps(relayoutData, indent=2)
if __name__ == '__main__':
app.run_server(debug=True)
