I’m using plotly 1.12.9 in Jupyter 4.2.3 on Win 10 64bit, conda 4.2.13, python 3.5.2.
Consider this code:
import plotly as py import plotly.graph_objs as go import pandas as pd py.offline.init_notebook_mode() # Read data from a csv z_data = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv') data = [ go.Surface( z=z_data.as_matrix() ) ] layout = go.Layout( title='Mt Bruno Elevation', autosize=False, width=500, height=500, margin=dict( l=65, r=50, b=65, t=90 ) ) fig = go.Figure(data=data, layout=layout) py.offline.iplot(fig, filename='elevations-3d-surface')
If I run the code above on Firefox or Chrome, the CPU usage slowly goes up and I have to close the tab to free the CPU. If the code above is executed several times (by recomputing the same cell), the CPU usage goes up much more quickly.
This makes plotly unusable for me.