Press space
to move to the next sub- slide...
You'll be able to click and run the code cell, live in the presentation!
# Here are our imports (press shift+enter)
import numpy as np
import matplotlib.pyplot as plt
plt.ion()
Now we'll generate some data and make a plot! Run the cell below...
data = np.random.randn(2, 500)
sizes = np.abs(data[1])
fig, ax = plt.subplots()
ax.scatter(*data, s=sizes * 100, c=sizes, cmap=plt.cm.viridis, vmin=-3, vmax=3)
ax.set(title="Wow, such plot. So scatter. Much viridis.")
ax.set_axis_off()
You can even change the code and update the plot in real-time!
Let's see what these notebooks look like...
github.com/binder-examples/requirements github.com/binder-examples/jupyterlab
If you want to learn more about the RISE plugin, check out the RISE documentation.
If you want to go backwards, hit shift + space
. Or click the X
in the top left to go back to the notebook interface.
Thanks for playing around with the RISE live demo binder!