diff --git a/examples/histogram.py b/examples/histogram.py
index d9d70d8b..2674ba30 100644
--- a/examples/histogram.py
+++ b/examples/histogram.py
@@ -2,8 +2,6 @@
 """
 In this example we draw two different kinds of histogram.
 """
-
-
 import initExample ## Add path to library (just for examples; you do not need this)
 
 import pyqtgraph as pg
@@ -15,7 +13,6 @@ win.resize(800,350)
 win.setWindowTitle('pyqtgraph example: Histogram')
 plt1 = win.addPlot()
 plt2 = win.addPlot()
-plt3 = win.addPlot()
 
 ## make interesting distribution of values
 vals = np.hstack([np.random.normal(size=500), np.random.normal(size=260, loc=4)])
@@ -23,17 +20,14 @@ vals = np.hstack([np.random.normal(size=500), np.random.normal(size=260, loc=4)]
 ## compute standard histogram
 y,x = np.histogram(vals, bins=np.linspace(-3, 8, 40))
 
+## Using stepMode=True causes the plot to draw two lines for each sample.
 ## notice that len(x) == len(y)+1
-## We are required to use stepMode=True so that PlotCurveItem will interpret this data correctly.
-curve = pg.PlotCurveItem(x, y, stepMode=True, fillLevel=0, brush=(0, 0, 255, 80))
-plt1.addItem(curve)
-
-plt2.plot(x, y, stepMode=True, fillLevel=0, brush=(0,0,255,150))
+plt1.plot(x, y, stepMode=True, fillLevel=0, brush=(0,0,255,150))
 
 ## Now draw all points as a nicely-spaced scatter plot
 y = pg.pseudoScatter(vals, spacing=0.15)
-#plt3.plot(vals, y, pen=None, symbol='o', symbolSize=5)
-plt3.plot(vals, y, pen=None, symbol='o', symbolSize=5, symbolPen=(255,255,255,200), symbolBrush=(0,0,255,150))
+#plt2.plot(vals, y, pen=None, symbol='o', symbolSize=5)
+plt2.plot(vals, y, pen=None, symbol='o', symbolSize=5, symbolPen=(255,255,255,200), symbolBrush=(0,0,255,150))
 
 ## Start Qt event loop unless running in interactive mode or using pyside.
 if __name__ == '__main__':
diff --git a/pyqtgraph/graphicsItems/PlotDataItem.py b/pyqtgraph/graphicsItems/PlotDataItem.py
index a8c094a9..3e760ce1 100644
--- a/pyqtgraph/graphicsItems/PlotDataItem.py
+++ b/pyqtgraph/graphicsItems/PlotDataItem.py
@@ -70,7 +70,8 @@ class PlotDataItem(GraphicsObject):
                          May be any single argument accepted by :func:`mkBrush() <pyqtgraph.mkBrush>`
             stepMode     If True, two orthogonal lines are drawn for each sample
                          as steps. This is commonly used when drawing histograms.
-                         Note that in this case, len(x) == len(y) + 1
+                         Note that in this case, `len(x) == len(y) + 1`
+                         (added in version 0.9.9)
             ==========   ==============================================================================
         
         **Point style keyword arguments:**  (see :func:`ScatterPlotItem.setData() <pyqtgraph.ScatterPlotItem.setData>` for more information)