<｜begin▁of▁sentence｜>### Instruction:
A neuroscientist is exploring the connectome of the left side of the Drosophila larva mushroom body, which is crucial for learning and memory. They need to load this connectome data, represented as an adjacency matrix, to analyze the connections between neurons. In addition to the connectivity data, the scientist also requires the cell type labels for each neuron in the network. How can they load both the adjacency matrix and the cell type labels using the 'graspologic.datasets.load_drosophila_left' function provided by the Graspologic package?
### Response:
import graspologic

# Load the left Drosophila larva mushroom body connectome
# By default, it does not return labels
adjacency_matrix = graspologic.datasets.load_drosophila_left()

# If you also want to receive the cell type labels for each node
adjacency_matrix, labels = graspologic.datasets.load_drosophila_left(return_labels=True)

# Now adjacency_matrix holds the adjacency matrix of the connectome
# and labels contain the cell type labels
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