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
j 9
e 4
p 15
b 1
a 0
w 22
i 8
v 21
s 18
n 13


ascii index
c 2
p 15
u 20
y 24
b 1
j 9
e 4
l 11
s 18
h 7


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
j 9 j
e 4 e
p 15 p
b 1 b
w 22 w
v 21 v
s 18 s
c 2 c
h 7 h
o 14 o


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