code: def test_1d_horizontal():
      Rank1D(
          algorithm="shapiro",
          features=features,
          orient="h",
          figsize=(13, 7),
      ).feature_ranks(X)
  
imports: import matplotlib.pyplot
  import pytest
  import pandas
  import numpy
  from sklearn.datasets import load_iris
  from matplotlib.testing.decorators import image_comparison
  from sklearn_evaluation.plot import Rank1D, Rank2D
label_desc: Use image node_id 2 for calling a global function with example usage: test_1d_horizontal() without return types