Jupyter Notebooks

The nbsphinx extension allow notebooks to be seemlessly integrated into a Sphinx website. This page demonstrates how notebooks are rendered.

Mathematics

MathJax can use used to render mathematical equations. Equations can be rendered either in their own line using double dollar signs

\[y_{it} = \alpha_i + \gamma_t + \beta x_{it} + \epsilon_{it}\]

or inline using single dollar signs ( \(\LaTeX\) ).

DataFrames

pandas DataFrames are rendered with useful markup.

import numpy as np
import pandas as pd

df = pd.DataFrame({'ints': [1, 2, 3],
                   'floats': [np.pi, np.exp(1), (1+np.sqrt(5))/2],
                   'strings': ['aardvark', 'bananarama', 'charcuterie' ]})

df

	ints	floats	strings
0	1	3.141593	aardvark
1	2	2.718282	bananarama
2	3	1.618034	charcuterie

Plots and Figures

matplotlib can be used to produce plots in notebooks

This example comes from the matplotlib gallery .

%matplotlib inline

import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm

fig, ax = plt.subplots(figsize=(12,8))

data = np.clip(np.random.randn(250, 250), -1, 1)

cax = ax.imshow(data, interpolation='nearest', cmap=cm.coolwarm)
ax.set_title('Gaussian noise with vertical colorbar', fontsize=16)
plt.tick_params(labelsize=16)

# Add colorbar, make sure to specify tick locations to match desired ticklabels
cbar = fig.colorbar(cax, ticks=[-1, 0, 1])
cbar.ax.set_yticklabels(['< -1', '0', '> 1'])  # vertically oriented colorbar
cbar.ax.tick_params(labelsize=16)