• Standard plot
• Interactive Plot using D3js
• Interactive Plot using Bokeh
• LaTeX
• Inline images
• IFrame
• More examples

Standard plot

• Paste the following code in a python file
• Execute it (either selecting the code or using the Run cell code lens).
• The result is a static graph displayed in the Results window

#%%
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np

x = np.linspace(0, 20, 100)
plt.plot(x, np.sin(x))
plt.show() 

Interactive Plot using D3js

• Paste the following code in a python file
• Execute it (either selecting the code or using the Run cell code lens).
• The result is an interactive displayed in the Results window
• Check here for more infor on D3js

Note: Hover the mouse over the graph and a toolbar should appear allowing you to interact with the graph

#%%
import matplotlib.pyplot as plt
import numpy as np
import mpld3

mpld3.enable_notebook()
fig, ax = plt.subplots(subplot_kw=dict(axisbg='#EEEEEE'))
ax.grid(color='white', linestyle='solid')
N = 50
scatter = ax.scatter(np.random.normal(size=N),
                     np.random.normal(size=N),
                     c=np.random.random(size=N),
                     s = 1000 * np.random.random(size=N),
                     alpha=0.3,
                     cmap=plt.cm.jet)
ax.set_title("D3 Scatter Plot", size=18);

Interactive Plot using Bokeh

• Paste the following code in a python file
• Execute it (either selecting the code or using the Run cell code lens).
• The result is an interactive displayed in the Results window
• Check here for more info on Bokeh graphs

Note: Use the toolbar next to the graph image, to interact with the graph.

#%%
from bokeh.io import push_notebook, show, output_notebook
from bokeh.layouts import row, gridplot
from bokeh.plotting import figure, show, output_file
output_notebook()

import numpy as np

x = np.linspace(0, 4*np.pi, 100)
y = np.sin(x)
TOOLS = "pan,wheel_zoom,box_zoom,reset,save,box_select"

p1 = figure(title="Legend Example", tools=TOOLS)
p1.circle(x,   y, legend="sin(x)")
p1.circle(x, 2*y, legend="2*sin(x)", color="orange")
p1.circle(x, 3*y, legend="3*sin(x)", color="green")
show(p1)

LaTeX

• Check here for more info on LaTeX

#%%
from IPython.display import Latex
Latex('''The mass-energy equivalence is described by the famous equation

$$E=mc^2$$

discovered in 1905 by Albert Einstein.
In natural units ($c$ = 1), the formula expresses the identity

\\begin{equation}
E=m
\\end{equation}''')

Inline images

#%%
from IPython.display import Image
Image('http://jakevdp.github.com/figures/xkcd_version.png')

IFrame

#%%
from IPython.core.display import HTML
HTML("<iframe src='http://www.ncdc.noaa.gov/oa/satellite/satelliteseye/cyclones/pfctstorm91/pfctstorm.html' width='750' height='600'></iframe>")

More examples

• Interactive Matplotlib graphs using d3js (mpld3)
• Interactive Bokeh graphs
• LaTeX