I tried the following code:
import plotly.io as pio
import plotly.express as px
import json
import pandas as pd
import plotly.graph_objects as go
import plotly.figure_factory as ff
import plotly.express as px
df = px.data.carshare()
fig = go.Figure()
app = dash.Dash()
#fac figurile
fig = ff.create_hexbin_mapbox(df,lat = 'centroid_lat', lon = 'centroid_lon',nx_hexagon = 10,color = 'car_hours',
labels = {'color':'Point Count '},
opacity = 0.5)
fig.update_layout(mapbox_style="carto-darkmatter")
fig.update_layout(margin=dict(b=0, t=0, l=0, r=0))
fig.show()
And I want to modify the hover so that it will only show me the float value with only the first decimal on hover and I also want to be able to display something after it displays the value. For example the value on the hover should be 'Point Count = 1019.9 cars per hour. Unfortunately, the documentation does not help very much.
It seems to me that your best option for ff.create_hexbin_mapbox
would be to configure it directly through:
fig.data[0].hovertemplate = 'Point Count =%{z:,.1f}<extra>Cars per hour</extra>'
Which will turn this:
... into this:
import plotly.io as pio
import plotly.express as px
import json
import pandas as pd
import plotly.graph_objects as go
import plotly.figure_factory as ff
import plotly.express as px
df = px.data.carshare()
fig = go.Figure()
# app = dash.Dash()
#fac figurile
fig = ff.create_hexbin_mapbox(df,lat = 'centroid_lat', lon = 'centroid_lon',nx_hexagon = 10,color = 'car_hours',
labels = {'color':'Point Count '},
opacity = 0.5)
fig.update_layout(mapbox_style="carto-darkmatter")
fig.update_layout(margin=dict(b=0, t=0, l=0, r=0))
fig.data[0].hovertemplate = 'Point Count =%{z:,.1f}<extra>Cars per hour</extra>'
fig.show()