Align datasets

Shows how to combine information from two datasets describing the same cases, but not necessarily in the same order.

# Author: Christian Brodbeck <christianbrodbeck@nyu.edu>
import random
import string

from eelbrain import *


# Generate a dataset with known sequence
ds = Dataset()
ds['ascii'] = Factor(string.ascii_lowercase)
# Add an index variable to the dataset to later identify the cases
ds.index()

# Generate two shuffled copies of the dataset (and print them to confirm that
# they are shuffled)
ds1 = ds[random.sample(range(ds.n_cases), 15)]
ds1.head()

ascii	index
i	8
v	21
w	22
n	13
k	10
z	25
p	15
h	7
u	20
y	24

ds2 = ds[random.sample(range(ds.n_cases), 16)]
ds2.head()

ascii	index
h	7
f	5
g	6
v	21
p	15
j	9
s	18
i	8
r	17
q	16

Align the datasets

Use the "index" variable added above to identify cases and align the two datasets

ds1_aligned, ds2_aligned = align(ds1, ds2, 'index')

# show the ascii sequences for the two datasets next to each other to
# demonstrate that they are aligned
ds1_aligned['ascii_ds2'] = ds2_aligned['ascii']
ds1_aligned

ascii	index	ascii_ds2
i	8	i
v	21	v
w	22	w
k	10	k
z	25	z
p	15	p
h	7	h
l	11	l
f	5	f
g	6	g