Pandas is the Swiss-Multipurpose Knife for Data Analysis in Python. In this talk we will look deeper into how to gain productivity utilising Pandas powerful indexing and make advanced analytics a piece of cake.

1. Neat Analytics with Pandas
A Closer Look at Pandas Indexing
Alexander C. S. Hendorf
@hendorf

2. Alexander C. S. Hendorf
Königsweg GmbH
Strategic data consulting for startups and the industry.
EuroPython & PyConDE
Organisator + Programm Chair
mongoDB master, PSF managing member
Speaker mongoDB days, EuroPython, PyData…
@hendorf

3. Today
Closer Look at Indexes
- Catch up on Pandas indexing
- Accessing data using the index
- Index Types
- MultiIndex
- Closer look at DateTimeIndex and Resampling

9. Structure: Index
-the label of a series is usually called index
-automatically created if not given
-can be reset or replaced
-immutable ndarray implementing an ordered, sliceable set
-can only contain hashable objects
-one or more dimensions
-may contain a value more than once (NOT UNIQUE!)

10. Index Types
-Index
-MultiIndex
-DateTimeIndex
-TimeDelta
-IntervalIndex
-CategoricalIndex

11. Structure
DataFrame
2D
1
2
3
4
5
6
7
1
2
3
4
5
6
7
1
2
3
4
5
6
7
1
2
3
4
5
6
7
1
2
3
4
5
6
7
1
2
3
4
5
6
7
1
2
3
4
5
6
7
1
2
3
4
5
6
7
…
Panel 3DXXXXXXXXX
pd.Series
1D
1
2
3
4
5
6
7
1
2
3
4
5
6
7
Index Data: Numpy array

15. Axes
1 2 3
0
1
0
1
2
3
4
5
6

18. no match: NaN
only if index matches

23. MultiIndex

28. max value of each series (not row)
get level 0 data
get level 1 data
get level 2 data
•
•
•
•

29. DateTimeIndex
-index of datetime64 data

30. 2014-09-26T03:50:00,14.0
2014-08-10T05:00:00,14
2014-08-21T22:50:00,12.0
2014-08-17T13:20:00,16.0
2014-08-06T01:20:00,14.0
2014-09-27T06:50:00,11.0
2014-08-25T21:50:00,13.0
2014-08-14T05:20:00,13.0
2014-09-14T05:20:00,16.0
2014-08-03T02:50:00,21.0
2014-09-29T03:00:00,13
2014-09-06T08:20:00,16.0
2014-08-19T07:20:00,13.0
2014-09-27T22:50:00,10.0
2014-08-28T08:20:00,12.0
2014-08-17T01:00:00,14
2014-09-27T14:00:00,17
2014-09-10T18:00:00,18
2014-09-22T23:00:00,8
2014-09-20T03:00:00,9
2014-08-29T09:50:00,16.0
2014-08-16T01:50:00,13.0

32. DateTime
format="%d.%m.%Y %H:%M:%S

33. before DateTimeIndex: unordered

41. Resampling

45. Resampling
-H hourly frequency
-T minutely frequency
-S secondly frequency
-L milliseonds
-U microseconds
-N nanoseconds
-D calendar day frequency
-W weekly frequency
-M month end frequency
-Q quarter end frequency
-A year end frequency
- B business day frequency
- C custom business day frequency (experimenta
- BM business month end frequency
- CBM custom business month end frequency
- MS month start frequency
- BMS business month start frequency
- CBMS custom business month start frequency
- BQ business quarter endfrequency
- QS quarter start frequency
- BQS business quarter start frequency
- BA business year end frequency
- AS year start frequency
- BAS business year start frequency
- BH business hour frequency

46. Extra discounts for
students & post docs
#16
180+sessions 18free
trainings
panels open
spaces
5dtalks &
trainings
2dsprints
beginners’ day
Tickets start @ 375€
Rimini
. Venice !
Bologna ! ✈ .
Florence ! . #
$
Rome ! .
Armin Rohnacher • Katharine Jarmul • Tracy Osborn
Jan Willem Tulp • Aisha Bello & Daniele Procida
interactive
sessions

47. 25. - 27. October
ZKM, Karlsruhe
CfP is open!

48. Alexander C. S. Hendorf
ah@koenigsweg.com
@hendorf