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

RomanyearusedtostartinMarchandhad10months

2monthstherewas"no"month

solar|topicalyear

quick&funnyexplanation:https://www.youtube.com/watch?v=AgKaHTh-_Gs

?

use case

salesreport27.11.11-01.01.2012

5weeks

4weeks

4weeks

typicalquarter

November

January

DBstoredonlyassoldinmajoritymonth

2nd Call for Proposals reserved for Hot Topics

~first week of June

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Data Mangling with mongoDB the Right Way

tomorrow@17:15

Alexander C. S. Hendorf

@hendorf

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