import numpy as np
import matplotlib.pyplot as plt
data = np.random.random(100)
data[10] = np.nan
plt.hist(data)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-16-bf65746c0a8a> in <module>()
      3 data = np.random.random(100)
      4 data[10] = np.nan
----> 5 plt.hist(data)

//anaconda/lib/python2.7/site-packages/matplotlib/pyplot.pyc in hist(x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, hold, data, **kwargs)
   2955                       histtype=histtype, align=align, orientation=orientation,
   2956                       rwidth=rwidth, log=log, color=color, label=label,
-> 2957                       stacked=stacked, data=data, **kwargs)
   2958     finally:
   2959         ax.hold(washold)

//anaconda/lib/python2.7/site-packages/matplotlib/__init__.pyc in inner(ax, *args, **kwargs)
   1817                     warnings.warn(msg % (label_namer, func.__name__),
   1818                                   RuntimeWarning, stacklevel=2)
-> 1819             return func(ax, *args, **kwargs)
   1820         pre_doc = inner.__doc__
   1821         if pre_doc is None:

//anaconda/lib/python2.7/site-packages/matplotlib/axes/_axes.pyc in hist(self, x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)
   5983             # this will automatically overwrite bins,
   5984             # so that each histogram uses the same bins
-> 5985             m, bins = np.histogram(x[i], bins, weights=w[i], **hist_kwargs)
   5986             m = m.astype(float)  # causes problems later if it's an int
   5987             if mlast is None:

//anaconda/lib/python2.7/site-packages/numpy/lib/function_base.pyc in histogram(a, bins, range, normed, weights, density)
    500     if mn > mx:
    501         raise ValueError(
--> 502             'max must be larger than min in range parameter.')
    503     if not np.all(np.isfinite([mn, mx])):
    504         raise ValueError(

ValueError: max must be larger than min in range parameter.

--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -6150,8 +6150,8 @@ class Axes(_AxesBase):
             xmax = -np.inf
             for xi in x:
                 if len(xi) > 0:
-                    xmin = min(xmin, xi.min())
-                    xmax = max(xmax, xi.max())
+                    xmin = min(xmin, np.nanmin(xi))
+                    xmax = max(xmax, np.nanmax(xi))
             bin_range = (xmin, xmax)