code: def test_numpy_integer_import(self):
      # should generate a figure with subplots of array and not throw a ValueError
      import numpy as np
      import plotly.graph_objects as go
      from plotly.subplots import make_subplots
  
      indices_rows = np.array([1], dtype=int)
      indices_cols = np.array([1], dtype=int)
      fig = make_subplots(rows=1, cols=1)
      fig.add_trace(
          go.Scatter(y=[1]), row=indices_rows[0], col=indices_cols[0]
      )
  
      data_path = ("data", 0, "y")
      value = get_by_path(fig, data_path)
      expected_value = (1,)
      self.assertEqual(value, expected_value)
  
imports: import datetime
  import math
  import decimal
  from datetime import datetime
  from unittest import TestCase
  from time import time
  import pytest
  import numpy
  import pandas
  import pytz
  from pandas.testing import assert_series_equal
  import json
  import os
  import base64
  from plotly import optional_imports, utils
  import plotly.graph_objects
  from plotly.graph_objs import Scatter, Scatter3d, Figure, Data
  from plotly.utils import get_by_path
  from PIL import Image
label_desc: Use image node_id 1 for calling the TestNumpyIntegerBaseType obj's underlying member method code with example usage: obj.test_numpy_integer_import() without return types