Interaction with Pandas

In this example we are going to explore interaction with Pandas data analysis tool.

from __future__ import print_function
import openturns as ot
import pandas as pd

# create a sample from a 3-d gaussian distribution
sample = ot.Normal(3).getSample(10)

# Create a DataFrame from a Sample
df = pd.DataFrame.from_records(sample, columns=sample.getDescription())
df.describe()

	X0	X1	X2
count	10.000000	10.000000	10.000000
mean	0.201254	-0.341580	-0.143151
std	1.122471	1.126257	0.678845
min	-2.290062	-2.181385	-1.311781
25%	-0.288951	-1.209149	-0.695591
50%	0.459701	-0.298012	0.060783
75%	0.746917	0.351669	0.343263
max	1.782359	1.437249	0.810668

# Create a Sample from a DataFrame
sample2 = ot.Sample(df.values)
sample2.setDescription(df.columns)
sample2

	X0	X1	X2
0	0.6082016512187646	-1.2661731022166567	-0.43826561996041397
1	1.2054782008285756	-2.1813852346165143	0.3500420865302907
2	-0.3550070491856397	1.437249310140903	0.8106679824694837
3	0.79315601145977	-0.4705255986325704	0.26101793529769673
4	-2.2900619818700854	-1.2828852904549808	-1.311781115463341
5	-0.09078382658049489	0.9957932259165571	-0.13945281896393122
6	-0.5602056000378475	0.4454896972990519	0.32292503034661274
7	0.44578529818450985	-1.0380765948630941	-0.8567122780208447
8	0.4736169171884015	-0.12549774541256004	0.35141776801611424
9	1.7823586399387168	0.070207359297043	-0.7813664602347197