title: Plotting a KNN classifier graph for multiple features
body: <p>I am trying to plot a KNN graph for my data but i keep getting this error which i cant figure out.</p>
  
  <pre><code>clf = neighbors.KNeighborsClassifier(k, weights=weights)
  AttributeError: 'list' object has no attribute 'KNeighborsClassifier'
  </code></pre>
  
  <p>Below i have attached my code(excluding imports):</p>
  
  <pre><code>data_df = pd.DataFrame.from_csv("fvectors.csv")
  X = np.array(data_df[features].values)
  
  data_df2 = pd.DataFrame.from_csv("fvectors.csv")
  y = np.array(data_df2[features1].replace("Circle",0).replace("Equilateral Triangle",1)
               .replace("Right Angle Triangle",2).replace("Acute Triangle",3)
               .replace("Obtuse Triangle",4).replace("Square",5)
               .replace("Parallelogram",6).replace("Rectangle",7)
               .replace("Pentagon",8).replace("Seal",9).values.tolist())
  
  #step size in the mesh
  h = .02  
  
  #Create color maps
  cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA', '#AAAAFF'])
  cmap_bold = ListedColormap(['#FF0000', '#00FF00', '#0000FF'])
  
  for weights in ['uniform', 'distance']:
      #we create an instance of Neighbours Classifier and fit the data.
      clf = neighbors.KNeighborsClassifier(k, weights=weights)
      clf.fit(X, y)
  
      #Plot the decision boundary. For that, we will assign a color to each
      #point in the mesh [x_min, x_max]x[y_min, y_max].
      x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1
      y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1
      xx, yy = np.meshgrid(np.arange(x_min, x_max, h),
                           np.arange(y_min, y_max, h))
      Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])
  
      #Put the result into a color plot
      Z = Z.reshape(xx.shape)
      plt.figure()
      plt.pcolormesh(xx, yy, Z, cmap=cmap_light)
  
      #Plot also the training points
      plt.scatter(X[:, 0], X[:, 1], c=y, cmap=cmap_bold)
      plt.xlim(xx.min(), xx.max())
      plt.ylim(yy.min(), yy.max())
      plt.title("3-Class classification (k = %i, weights = '%s')" % (k))
  
  plt.show()
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/g32cO.png" rel="nofollow noreferrer">And my fvectors.csv file looks like this:</a></p>
  
  <p>Also:</p>
  
  <pre><code>features = ["Number of Sides", "Standard Deviation of Number of Sides/Perimeter",
        "Standard Deviation of the Angles", "Largest Angle"]
  
  
  features1 = ["Label"]
  </code></pre>
  
  <p>Can anyone see what im doing wrong, or if there are any other errors that stand out? </p>