Reputation:
I plotted 2 figures, here is the screenshot
the one (2D) on top is rendered as expected. the one (3D) on bottom is not, the figure is so small!
setting the value of figsize
does not work.
figsize=(3,3) and figsize=(13,13) give the same result!
%matplotlib inline
rendered same way.
I tried different browsers, clear the cache, dose not work either.
I guess some rcParams control this, because this is reproducible only on my mac, but I don't have a clue to find it!
any clue will be appreciated.
whole coding:
%pylab inline
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure(figsize=(3,3))
ax = fig.gca(projection='3d')
ax.scatter(0.5, 0.5, 0.5, marker = '^')
Upvotes: 4
Views: 3074
Reputation: 1
Upgrading matplotlib from version 3.0.0 to 3.0.2 solved the problem. If you use pip type:
pip install --upgrade matplotlib
I verified the case with Jupyter version 4.4.0.
Upvotes: 0
Reputation: 2539
As of notebook version 5.7.4, on MacOS 10.14.2 and Chrome 71.0.3578.98, this problem persists but can be fixed with %matplotlib inline
setting by using the magic command
%config InlineBackend.print_figure_kwargs = {'bbox_inches':None}
as given in the documentation here.
Correctly funcitoning example.
Upvotes: 3
Reputation: 1
It appears to be a bug in Jupyter.
As a quick fix, you can use the notebook- instead of the inline-backend for matplotlib.
To do so, replace %matplotlib inline
with %matplotlib notebook
.
Upvotes: 0