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.

[1]:

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

[1]:

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 .

[2]:

%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)