My problem is that I want to update table based on the district I click on map but I am unable to do so.
If you can solve my problem that would be very useful for me.
Thanks in advance.
I am attaching the code as below:
“”"
Created on Fri May 1 15:03:23 2020
@author: Arnab
“”"
import dash
import dash_html_components as html
import dash_core_components as dcc
import dash_table
from dash_table import DataTable
from dash.exceptions import PreventUpdate
from dash.dependencies import Output, Input, State
import pandas as pd
import plotly.express as px
import mapboxgl
import plotly.offline as pyo
import plotly.graph_objs as go
import json
from urllib.request import urlopen
with urlopen(“https://raw.githubusercontent.com/HindustanTimesLabs/shapefiles/master/state_ut/westbengal/district/westbengal_district.json”) as ra:
counties = json.load(ra)
counties[“features”][0]
counties[‘features’][0][“properties”][‘district’]
df = pd.read_csv(“https://raw.githubusercontent.com/plotly/datasets/master/fips-unemp-16.csv”)
#dtype={“fips”: str})
df=pd.read_csv(“DWP.csv”)
df1=df.filter([‘District’, ‘Population’])
df2=df.filter([‘Population’, ‘Sex Ratio’,‘Density’]).mean().reset_index()
df2.columns.values[0:2]=[‘Metrices’,‘values’]
access_token=“pk.eyJ1IjoiYXJuYWI5MyIsImEiOiJjazlueHAxdW8wNG54M2ZwbXgzOGFlZGtqIn0.YE9jS52NmDrNsdpMeO9X_w”
mapboxgl.accessToken = access_token
#px.set_mapbox_access_token(open(".mapbox_token").read())
fig = px.choropleth(df1, geojson=counties, color=‘Population’,
locations=‘District’,
projection=“mercator”,
featureidkey=“properties.district”,
labels={‘Population’:‘population in million’},
height=600,
width=800
)
fig.update_geos(fitbounds=“locations”, visible=False)
fig.show()
fig.update_layout(mapbox_accesstoken=access_token,margin={“r”:0,“t”:0,“l”:0,“b”:0})
fig.show()
app = dash.Dash(external_stylesheets=[‘https://codepen.io/chriddyp/pen/bWLwgP.css’])
app.config[‘suppress_callback_exceptions’] = True
app.layout = html.Div([
html.Div([
html.Div([
dcc.Graph(id="map",
figure=fig),
],className="six columns"),
html.Div([
html.H3("Average Value for All Districts"),
dash_table.DataTable(
id='table',
style_cell={'whiteSpace': 'normal','height': 'auto'},
data=df2.to_dict('records'),
columns=[{"name": i, "id": i} for i in df2.columns],
style_cell_conditional=[
{
'if': {'column_id': i},
'textAlign': 'left'
} for i in ['Metrices','values']
],
style_data_conditional=[
{
'if': {'row_index': 'odd'},
'backgroundColor': 'rgb(248, 248, 248)'
}
],
style_header={
'backgroundColor': 'rgb(230, 230, 230)',
'fontWeight': 'bold'
},
style_as_list_view=True,
),
], className="six columns"),
],className="row"),
])
#@app.callback(Output(‘map’, ‘figure’))
# [Input(‘map’, ‘figure’)])
@app.callback(
Output(‘table’,‘data’),
[Input(‘map’, ‘figure’)],
[State(“map”, “clickData”)]
)
def display_click_data(choro_fig,choro_click):
if choro_click is not None:
dis=choro_click['features'][0]["properties"]['district']
df3=df[df.District==dis]
df3=df3.filter(['Population', 'Sex Ratio','Density']).mean().reset_index()
df3.columns.values[0:3]=['Metrices','values for dis']
data=df2.merge(df3)
return data
else:
raise PreventUpdate
=============================================================================
def update_graph(data):
# Do some updates
if data is None:
return
else:
return
=============================================================================
# Expected result: mapbox click event data geojson properties
if name == ‘main’:
app.run_server(debug=False)
Note:After clicking on district on map the table should look like this…I am attaching the screenshot in below
1 post - 1 participant