code: def plot_motifs(simulation_data):
      for motif_name in simulation_data.motif_names:
          plot_motif(motif_name, figsize=(10, 4), ylab=motif_name)
  
file_path: deepchem/contrib/dragonn/tutorial_utils.py
imports: from __future__ import division
  import random
  import inspect
  from collections import namedtuple, defaultdict, OrderedDict
  import numpy
  from sklearn.model_selection import train_test_split
  import simulations
  from simdna.synthetic import StringEmbeddable
  from utils import get_motif_scores, one_hot_encode
  from models import SequenceDNN
  from dragonn.plot import add_letters_to_axis, plot_motif
  import matplotlib.pyplot
  from matplotlib.lines import Line2D
label_desc: Use image node_id 3 for calling a global function with example usage: plot_motifs(simulation_data) without return types