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)]
print(ds1.head())
ds2 = ds[random.sample(range(ds.n_cases), 16)]
print(ds2.head())

Out:

ascii   index
-------------
k       10
f       5
g       6
l       11
i       8
e       4
u       20
j       9
a       0
r       17
ascii   index
-------------
n       13
r       17
z       25
x       23
f       5
p       15
w       22
o       14
a       0
m       12

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']
print(ds1_aligned)

Out:

ascii   index   ascii_ds2
-------------------------
f       5       f
g       6       g
i       8       i
a       0       a
r       17      r
p       15      p
d       3       d