<｜begin▁of▁sentence｜>### Instruction:
Assuming you have two sets of labels from different clustering algorithms for the same set of data samples, where the first set of labels is [0, 0, 1, 1, 2, 2] and the second set is [2, 2, 1, 1, 0, 0], can you use the remap_labels function from graspologic to reorder the second set of labels to best match the first one? Print both the remapped labels and the mapping dictionary.
### Response:
import numpy as np
from graspologic.utils import remap_labels

# Assume we have two sets of labels from different clustering algorithms
# and we want to match the second set to the first one as best as possible
y_true = np.array([0, 0, 1, 1, 2, 2])
y_pred = np.array([2, 2, 1, 1, 0, 0])

# Perform label remapping
remapped_y_pred, label_map = remap_labels(y_true, y_pred, return_map=True)

print('Remapped y_pred:', remapped_y_pred)
print('Label Map:', label_map)
<|EOT|>
