Open dbrnz opened 6 years ago
%matplotlib
without any arguments selects the default backend, so it will depend on matplotlib configuration.
What's pip list
? I thought the latest ipykernel and/or matplotlib made inline the default backend.
Here is pip list
.
Package Version
------------------------ -----------------
alabaster 0.7.10
appnope 0.1.0
arrow 0.12.1
Babel 2.5.3
binaryornot 0.4.4
bleach 2.1.3
certifi 2018.1.18
chardet 3.0.4
click 6.7
cookiecutter 1.6.0
cssselect2 0.2.1
cycler 0.10.0
decorator 4.2.1
dionysus 2.0.4
docutils 0.14
dukpy 0.1.0
entrypoints 0.2.3
future 0.16.0
html5lib 1.0.1
idna 2.6
imagesize 1.0.0
inspyred 1.0.1
ipykernel 4.8.2
ipython 6.2.1
ipython-genutils 0.2.0
ipyvolume 0.4.5
ipywebrtc 0.3.0
ipywidgets 7.1.2
javascripthon 0.8
jedi 0.11.1
Jinja2 2.10
jinja2-time 0.2.0
jsonschema 2.6.0
jupyter 1.0.0
jupyter-client 5.2.3
jupyter-console 5.2.0
jupyter-core 4.4.0
jupyterlab 0.31.12
jupyterlab-launcher 0.10.5
kiwisolver 1.0.1
lxml 4.1.1
macropy3 1.0.4.dev2
MarkupSafe 1.0
matplotlib 2.2.2
mistune 0.8.3
mpmath 1.0.0
mypy 0.570
Naked 0.1.31
nbconvert 5.3.1
nbformat 4.4.0
networkx 2.1
notebook 5.4.1
numpy 1.14.2
packaging 17.1
pandas 0.22.0
pandocfilters 1.4.2
parso 0.1.1
pdfrw 0.4
pexpect 4.4.0
pickleshare 0.7.4
Pillow 5.0.0
pip 10.0.1
Platypus 1.0
Platypus-Opt 1.0.2
ply 3.11
poyo 0.4.1
prompt-toolkit 1.0.15
ptyprocess 0.5.2
pudb 2017.1.4
PyExecJS 1.5.1
Pygments 2.2.0
pyparsing 2.2.0
PyQt5 5.10.1
python-dateutil 2.7.2
pythreejs 0.4.1
pytz 2018.3
PyYAML 3.12
pyzmq 17.0.0
qtconsole 4.3.1
reportlab 3.4.0
requests 2.18.4
rst2pdf 0.93.dev-r0
scipy 1.0.1
Send2Trash 1.5.0
setuptools 39.0.1
Shapely 1.6.4.post1
simplegeneric 0.8.1
sip 4.19.8
six 1.11.0
snowballstemmer 1.2.1
Sphinx 1.7.2.dev20180411
sphinxcontrib-websupport 1.0.1
sympy 1.1.1
terminado 0.8.1
testpath 0.3.1
tinycss2 0.6.1
tornado 5.0.1
traitlets 4.3.2
traittypes 0.0.6
Transcrypt 3.6.101
typed-ast 1.1.0
urllib3 1.22
urwid 2.0.1
vispy 0.5.2
wcwidth 0.1.7
webencodings 0.5.1
whichcraft 0.4.1
widgetsnbextension 3.1.4
winpdb 1.3.6
%matplotlib
tries to activate the system specific backend (frommatplotlib.rcParamsOrig['backend']
and then remembers this. A subsequent%matplotlib notebook
fails with "Warning: Cannot change to a different GUI toolkit: notebook."This is with Python 3.6.4 and notebook 5.4.1 under macOS.