In [1]:
import pandas as pd
pd.options.display.html.table_schema = True

In [2]:
baseball_file = "/Users/kylek/code/src/github.com/pandas-dev/pandas/doc/data/baseball.csv"
df = pd.read_csv(baseball_file).set_index(['id', 'player'])

In [4]:
df.head(n=20)


year stint team lg g ab r h X2b X3b ... rbi sb cs bb so ibb hbp sh sf gidp
id player
88641 womacto01 2006 2 CHN NL 19 50 6 14 1 0 ... 2.0 1.0 1.0 4 4.0 0.0 0.0 3.0 0.0 0.0
88643 schilcu01 2006 1 BOS AL 31 2 0 1 0 0 ... 0.0 0.0 0.0 0 1.0 0.0 0.0 0.0 0.0 0.0
88645 myersmi01 2006 1 NYA AL 62 0 0 0 0 0 ... 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0
88649 helliri01 2006 1 MIL NL 20 3 0 0 0 0 ... 0.0 0.0 0.0 0 2.0 0.0 0.0 0.0 0.0 0.0
88650 johnsra05 2006 1 NYA AL 33 6 0 1 0 0 ... 0.0 0.0 0.0 0 4.0 0.0 0.0 0.0 0.0 0.0
88652 finlest01 2006 1 SFN NL 139 426 66 105 21 12 ... 40.0 7.0 0.0 46 55.0 2.0 2.0 3.0 4.0 6.0
88653 gonzalu01 2006 1 ARI NL 153 586 93 159 52 2 ... 73.0 0.0 1.0 69 58.0 10.0 7.0 0.0 6.0 14.0
88662 seleaa01 2006 1 LAN NL 28 26 2 5 1 0 ... 0.0 0.0 0.0 1 7.0 0.0 0.0 6.0 0.0 1.0
89177 francju01 2007 2 ATL NL 15 40 1 10 3 0 ... 8.0 0.0 0.0 4 10.0 1.0 0.0 0.0 1.0 1.0
89178 francju01 2007 1 NYN NL 40 50 7 10 0 0 ... 8.0 2.0 1.0 10 13.0 0.0 0.0 0.0 1.0 1.0
89330 zaungr01 2007 1 TOR AL 110 331 43 80 24 1 ... 52.0 0.0 0.0 51 55.0 8.0 2.0 1.0 6.0 9.0
89333 witasja01 2007 1 TBA AL 3 0 0 0 0 0 ... 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0
89334 williwo02 2007 1 HOU NL 33 59 3 6 0 0 ... 2.0 0.0 0.0 0 25.0 0.0 0.0 5.0 0.0 1.0
89335 wickmbo01 2007 2 ARI NL 8 0 0 0 0 0 ... 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0
89336 wickmbo01 2007 1 ATL NL 47 0 0 0 0 0 ... 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0
89337 whitero02 2007 1 MIN AL 38 109 8 19 4 0 ... 20.0 0.0 0.0 6 19.0 0.0 3.0 0.0 1.0 2.0
89338 whiteri01 2007 1 HOU NL 20 1 0 0 0 0 ... 0.0 0.0 0.0 0 1.0 0.0 0.0 0.0 0.0 0.0
89339 wellsda01 2007 2 LAN NL 7 15 2 4 1 0 ... 1.0 0.0 0.0 0 6.0 0.0 0.0 0.0 0.0 0.0
89340 wellsda01 2007 1 SDN NL 22 38 1 4 0 0 ... 0.0 0.0 0.0 0 12.0 0.0 0.0 4.0 0.0 0.0
89341 weathda01 2007 1 CIN NL 67 0 0 0 0 0 ... 0.0 0.0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0

20 rows × 21 columns

Inline math should work $\alpha = 3 $, even if flickery...

$$ Block_{math} \approx cool $$

In [1]:
from IPython.display import Markdown

Markdown("""

$$x = 2$$
""")


Out[1]:
$$x = 2$$

In [ ]: