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Time Travel and Time Series Analysis with
pandas & statsmodels
Alexander C. S. Hendorf
@hendorf
PYCON SETTE, Florence, 2016
Alexander C. S. Hendorf
CTO Königsweg GmbH
15+ years in software development
Always love data and new ideas
Mannheim mongoDB meet-up Organizer
mongoDB master, certified mongoDB DBA
EuroPython organizer + program chair
speaker mongoDB world NYC, CEBIT,…
Hobbies: see above
@hendorf
Pandas
• data analysis library
• simple interface
• making data analysis fast, efficient and easy
• started by Wes McKinney in 2008
• DataFrame object for data manipulation with integrated indexing (R)
• Reshape & pivot data
• Merge & join data
• high-level building block for doing practical, real world data analysis in Python
• database like operations
• import pandas as pd
Statsmodels
is a Python module that allows users to explore data, estimate statistical models,
and perform statistical tests
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pd.Series
index
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pd.DataFrame
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pandas Q'n'D
Year
12 Months
February
90% of March
31 31
31 31 31
31 31
30
30
30 30
28
Roman	year	used	to	start	in	March	and	had	10	months
2	months	there	was	"no"	month
solar	|	topical	year
quick	&	funny	explanation:	https://www.youtube.com/watch?v=AgKaHTh-_Gs
?
use case
sales	report		
27.11.11	-	
01.01.2012
5	weeks
4	weeks
4	weeks
typical	quarter
November
January
DB
stored	only	as	sold	in	
majority	month
2nd Call for Proposals
reserved for Hot Topics
~first week of June
ADVERTISEMENT
Data Mangling with mongoDB
the Right Way
tomorrow@17:15
Alexander C. S. Hendorf
@hendorf
LinkedIn

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