mpld3
diff --git a/‎_downloads/91ff5ec84a91b5e66f7a05df4d20fa95/mpld3_demo.html
+4,592-11,826 b/‎_downloads/91ff5ec84a91b5e66f7a05df4d20fa95/mpld3_demo.html
+4,592-11,826
diff --git a/‎_downloads/98331852fdd146cfc4980bfb9d37630b/sliderPlugin.html
+4,674-11,856 b/‎_downloads/98331852fdd146cfc4980bfb9d37630b/sliderPlugin.html
+4,674-11,856
diff --git a/‎_downloads/b522c975f1a1dd2db5f840b129cdc12d/linked_brush.py
+1-4 b/‎_downloads/b522c975f1a1dd2db5f840b129cdc12d/linked_brush.py
+1-4
@@ -9,15 +9,12 @@
 import numpy as np
 import matplotlib
 import matplotlib.pyplot as plt
-from sklearn.datasets import load_iris
 
 import mpld3
 from mpld3 import plugins, utils
 
 
-data = load_iris()
-X = data.data
-y = data.target
+X, y, _ = utils.load_test_dataset("iris")
 
 # dither the data for clearer plotting
 X += 0.1 * np.random.random(X.shape)