<｜begin▁of▁sentence｜>### Instruction:
A data scientist is working with two datasets, X and Y, each containing a set of points represented in a 2-dimensional space. Both datasets have an equal number of dimensions (i.e., they are matrices with the same number of columns). The goal is to align dataset X with dataset Y by flipping the signs of the entries in X along various dimensions. This is done in such a way that, according to a chosen criterion (e.g., 'median'), the datasets are brought to the same orthant (i.e., a subdivision of space where all signs of the coordinates are the same). The scientist decides to use the SignFlips algorithm from graspologic to perform this alignment. Can you provide Python code that demonstrates how to use SignFlips to align the two datasets?
### Response:
import numpy as np
from graspologic.align import SignFlips

# Create two datasets X and Y with the same number of dimensions
X = np.array([[1, -2], [-3, 4], [5, -6]])
Y = np.array([[2, 3], [4, 5], [6, 7]])

# Initialize the SignFlips object using the 'median' criterion
aligner = SignFlips('median')

# Align the first dataset(X) with the second dataset(Y)
aligner.fit(X, Y)

# Transform the dataset X using the learned matrix Q_
X_prime = aligner.fit_transform(X, Y)

# X_prime is X aligned to the same orthant as Y
print(X_prime)
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