%matplotlib inline
Example: Kalman Filter Tutorial
More examples: Gallery Of Examples
import numpy as np
import matplotlib.pyplot as plt
Y, X = np.mgrid[-3:3:100j, -3:3:100j]
U = -1 - X**2 + Y
V = 1 + X - Y**2
plt.figure(figsize=(5,4))
plt.streamplot(X, Y, U, V, color=U, linewidth=2, cmap=plt.cm.autumn)
plt.colorbar()
plt.show()
Markdown like this:
$$
S_{xx} = \sum^{N}_{i=1}{x_i^2}
$$
Renders as you would expect:
$$ S_{xx} = \sum^{N}_{i=1}{x_i^2} $$img_url='https://upload.wikimedia.org/wikipedia/commons/thumb/6/6c/Malevici06.jpg/480px-Malevici06.jpg'
svg_url='https://upload.wikimedia.org/wikipedia/commons/4/43/Average_daily_maximum_temperature_in_July_in_Australia.svg'
from IPython.display import Image
Image(url=img_url)
from IPython.display import SVG
SVG(url=svg_url)
from IPython.display import IFrame
IFrame('http://www.bom.gov.au/products/IDR403.loop.shtml', width=900, height=800)
from IPython.display import YouTubeVideo
YouTubeVideo('dQw4w9WgXcQ')