This is a Dash example that can reproduce it (use scrollbar a few times to update the bottom three plots - the top one will Disappear). I used three plots to make it appear faster but replotting one is enough to make it happen.
# -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import numpy as np
import plotly.graph_objs as go
app = dash.Dash(__name__)
server = app.server
x, y, z = np.random.multivariate_normal(
np.array([0, 0, 0]), np.eye(3), 2).transpose()
app.layout = html.Div([
dcc.Slider(
id='slider',
min=0,
max=20,
value=0,
step=None,
marks={str(n): str(n) for n in range(20)},
),
dcc.Graph(
id='scatter_3d_0',
figure={
'data': [
go.Scatter3d(
x=x,
y=y,
z=z,
mode='markers',
)
],
}
),
dcc.Graph(
id='scatter_3d_1',
figure={
'data': [
go.Scatter3d(
x=x,
y=y,
z=z,
mode='markers',
)
],
}
),
dcc.Graph(
id='scatter_3d_1',
figure={
'data': [
go.Scatter3d(
x=x,
y=y,
z=z,
mode='markers',
)
],
}
),
dcc.Graph(
id='scatter_3d_2',
figure={
'data': [
go.Scatter3d(
x=x,
y=y,
z=z,
mode='markers',
)
],
}
),
dcc.Graph(
id='scatter_3d_3',
figure={
'data': [
go.Scatter3d(
x=x,
y=y,
z=z,
mode='markers',
)
],
}
)
])
@app.callback(
Output('scatter_3d_1', 'figure'),
[ Input('slider', 'value')],
[State('scatter_3d_1', 'figure')])
def display_scatter_3d_1(value,figure):
x, y, z = np.random.multivariate_normal(
np.array([0, 0, 0]), np.eye(3), 2).transpose()
figure['data']=[
go.Scatter3d(
x=x,
y=y,
z=z,
mode='markers',
)
]
return figure
@app.callback(
Output('scatter_3d_2', 'figure'),
[ Input('slider', 'value')],
[State('scatter_3d_2', 'figure')])
def display_scatter_3d_2(value,figure):
x, y, z = np.random.multivariate_normal(
np.array([0, 0, 0]), np.eye(3), 2).transpose()
figure['data']=[
go.Scatter3d(
x=x,
y=y,
z=z,
mode='markers',
)
]
return figure
@app.callback(
Output('scatter_3d_3', 'figure'),
[ Input('slider', 'value')],
[State('scatter_3d_3', 'figure')])
def display_scatter_3d_3(value,figure):
x, y, z = np.random.multivariate_normal(
np.array([0, 0, 0]), np.eye(3), 2).transpose()
figure['data']=[
go.Scatter3d(
x=x,
y=y,
z=z,
mode='markers',
)
]
return figure
if __name__ == '__main__':
app.run_server(debug=True)
