error with array buffer allocation failure #5278
Description
Describe your context
Steps to setup my environment
conda create -n test python=3.8
conda activate test
pip install dash==1.17.0
pip install plotly==4.12.0
pip install numpy==1.18
My pip list
Brotli 1.0.9
certifi 2020.11.8
click 7.1.2
dash 1.17.0
dash-core-components 1.13.0
dash-html-components 1.1.1
dash-renderer 1.8.3
dash-table 4.11.0
Flask 1.1.2
Flask-Compress 1.8.0
future 0.18.2
itsdangerous 1.1.0
Jinja2 2.11.2
MarkupSafe 1.1.1
numpy 1.18.0
pip 20.2.4
plotly 4.12.0
retrying 1.3.3
setuptools 49.6.0.post20201009
six 1.15.0
Werkzeug 1.0.1
wheel 0.35.1
wincertstore 0.2
My System
OS: Win10 Pro
Browser: Chrome v86.0.4240.193
NodeJS v12.16.2
Describe the bug
I am getting Array buffer allocation failed error when I try to generate a 3D plot with a huge number of data points in it.
Here is my code to reproduce the error when using n=2500
import dash
import dash_core_components as dcc
import dash_html_components as html
import numpy as np
import plotly.graph_objs as go
def get_figure(n):
x = np.linspace(-100, 100, n)
y = np.linspace(-100, 100, n)
xx, yy = np.meshgrid(x, y)
r = np.sqrt(xx**2 + yy**2)
zz = np.sin(r) * np.cos(xx)
return go.Figure(
data = go.Surface(z=zz),
layout=dict(width=600, height=600))
app = dash.Dash(__name__, suppress_callback_exceptions=True)
server = app.server
app.layout = html.Div(
dcc.Graph(
figure=get_figure(n=2500)
)
)
if __name__ == '__main__':
app.run_server(debug=True)
Expected behavior
Here is how it looks when I lower the value n, to n=800. I expect dash to render the 3D plot without a problem at n>=2500 but it gives me the Array buffer allocation failed error.
