Third Party Libraries With Rich Output¶

A number of third party libraries defined their own custom display logic. This gives their objcts rich output by default when used in the Notebook.

In [7]:

from IPython.display import display

Pandas¶

Pandas is a data analysis library for Python. Its DataFrame objects have an HTML table representation in the Notebook.

In [9]:

import pandas

Here is a small amount of stock data for APPL:

In [10]:

%%writefile data.csv
Date,Open,High,Low,Close,Volume,Adj Close
2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50
2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26
2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48
2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99
2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12
2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53

Writing data.csv

Read this as into a DataFrame:

In [11]:

df = pandas.read_csv('data.csv')

And view the HTML representation:

In [12]:

df

Out[12]:

	Date	Open	High	Low	Close	Volume	Adj Close
0	2012-06-01	569.16	590.00	548.50	584.00	14077000	581.50
1	2012-05-01	584.90	596.76	522.18	577.73	18827900	575.26
2	2012-04-02	601.83	644.00	555.00	583.98	28759100	581.48
3	2012-03-01	548.17	621.45	516.22	599.55	26486000	596.99
4	2012-02-01	458.41	547.61	453.98	542.44	22001000	540.12
5	2012-01-03	409.40	458.24	409.00	456.48	12949100	454.53

6 rows × 7 columns

SymPy¶

SymPy is a symbolic computing library for Python. Its equation objects have LaTeX representations that are rendered in the Notebook.

In [13]:

from sympy.interactive.printing import init_printing
init_printing(use_latex='mathjax')

In [14]:

from __future__ import division
import sympy as sym
from sympy import *
x, y, z = symbols("x y z")
k, m, n = symbols("k m n", integer=True)
f, g, h = map(Function, 'fgh')

In [15]:

Rational(3,2)*pi + exp(I*x) / (x**2 + y)

Out[15]:

$$\frac{3 \pi}{2} + \frac{e^{i x}}{x^{2} + y}$$

In [16]:

a = 1/x + (x*sin(x) - 1)/x
a

Out[16]:

$$\frac{1}{x} \left(x \sin{\left (x \right )} - 1\right) + \frac{1}{x}$$

In [17]:

(1/cos(x)).series(x, 0, 6)

Out[17]:

$$1 + \frac{x^{2}}{2} + \frac{5 x^{4}}{24} + \mathcal{O}\left(x^{6}\right)$$

Vincent¶

Vincent is a visualization library that uses the Vega visualization grammar to build d3.js based visualizations in the Notebook and on http://nbviewer.ipython.org. Visualization objects in Vincetn have rich HTML and JavaSrcript representations.

In [1]:

import vincent
import pandas as pd

In [5]:

import pandas.io.data as web
import datetime
all_data = {}
date_start = datetime.datetime(2010, 1, 1)
date_end = datetime.datetime(2014, 1, 1)
for ticker in ['AAPL', 'IBM', 'YHOO', 'MSFT']:
    all_data[ticker] = web.DataReader(ticker, 'yahoo', date_start, date_end)
price = pd.DataFrame({tic: data['Adj Close']
                      for tic, data in all_data.items()})

In [8]:

vincent.initialize_notebook()

In [10]:

line = vincent.Line(price[['AAPL', 'IBM', 'YHOO', 'MSFT']], width=600, height=300)
line.axis_titles(x='Date', y='Price')
line.legend(title='Ticker')
display(line)