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Preparing for jupyter interactive
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# First, you need to install node.js. After you install node.js, type `npm -v` for check | |
mkdir ~/.local | |
mkdir ~/node-latest-install | |
cd ~/node-latest-install | |
# curl http://nodejs.org/dist/node-latest.tar.gz | tar xz --strip-components=1 # For node.js v10.x, there is a hanging issue when installing jupyter-labextension | |
curl http://nodejs.org/dist/v8.9.0/node-v8.9.0.tar.gz | tar xz --strip-components=1 | |
./configure --prefix=~/.local | |
make install -j20 # ok, fine, this step probably takes more than 30 seconds... | |
# curl -k -L https://npmjs.org/install.sh | sh # This doen't need now, since npm is installed together when installing node.js | |
# Then update jupyter lab | |
pip install ipympl | |
jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib | |
# In the jupyter notebook, | |
import matplotlib.pyplot as plt | |
from ipywidgets import interact, widgets | |
%matplotlib inline | |
def f(n): | |
plt.plot([0,1,2],[0,1,n]) | |
plt.show() | |
interact(f, n=widgets.IntSlider(min=1,max=21,step=2,value=1)); |
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