title: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated use `arr[tuple(seq)]`
body: <p>I have searched S/O but I couldn't find a answer for this. </p>
  
  <p>When I try to plot a distribution plot using seaborn I am getting a futurewarning. I was wondering what could be the issue here.</p>
  
  <pre><code>import pandas as pd
  import numpy as np
  import seaborn as sns
  import matplotlib.pyplot as plt
  % matplotlib inline
  from sklearn import datasets
  
  iris = datasets.load_iris()
  df = pd.DataFrame(iris.data, columns=iris.feature_names)
  df['class'] = iris.target
  df['species'] = df['class'].map({idx:s for idx, s in enumerate(iris.target_names)})
  
  
  fig, ((ax1,ax2),(ax3,ax4))= plt.subplots(2,2, figsize =(13,9))
  sns.distplot(a = df.iloc[:,0], ax=ax1)
  sns.distplot(a = df.iloc[:,1], ax=ax2)
  sns.distplot(a = df.iloc[:,2], ax=ax3)
  sns.distplot(a = df.iloc[:,3], ax=ax4)
  plt.show()
  </code></pre>
  
  <p>This is the warning:</p>
  
  <pre><code>C:\ProgramData\Anaconda3\lib\site-packages\scipy\stats\stats.py:1713:
  FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; 
  use `arr[tuple(seq)]` instead of `arr[seq]`. 
  In the future this will be interpreted as an array index, `arr[np.array(seq)]`,
  which will result either in an error or a different result.
  return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval
  </code></pre>
  
  <p>Any help? You can run the above code. You'll get the warning.</p>
  
  <p>Pandas : <code>0.23.4</code>, seaborn : <code>0.9.0</code>, matplotlib : <code>2.2.3</code>, scipy : <code>1.1.0</code>, numpy: <code>1.15.0'</code></p>