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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"plt.hist fails when data contains nan values","articleBody":"I noticed that the histogram plot fails when the data includes nan values\n\n```\nimport numpy as np\nimport matplotlib.pyplot as plt\ndata = np.random.random(100)\ndata[10] = np.nan\nplt.hist(data)\n\n---------------------------------------------------------------------------\nValueError                                Traceback (most recent call last)\n\u003cipython-input-16-bf65746c0a8a\u003e in \u003cmodule\u003e()\n      3 data = np.random.random(100)\n      4 data[10] = np.nan\n----\u003e 5 plt.hist(data)\n\n//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)\n   2955                       histtype=histtype, align=align, orientation=orientation,\n   2956                       rwidth=rwidth, log=log, color=color, label=label,\n-\u003e 2957                       stacked=stacked, data=data, **kwargs)\n   2958     finally:\n   2959         ax.hold(washold)\n\n//anaconda/lib/python2.7/site-packages/matplotlib/__init__.pyc in inner(ax, *args, **kwargs)\n   1817                     warnings.warn(msg % (label_namer, func.__name__),\n   1818                                   RuntimeWarning, stacklevel=2)\n-\u003e 1819             return func(ax, *args, **kwargs)\n   1820         pre_doc = inner.__doc__\n   1821         if pre_doc is None:\n\n//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)\n   5983             # this will automatically overwrite bins,\n   5984             # so that each histogram uses the same bins\n-\u003e 5985             m, bins = np.histogram(x[i], bins, weights=w[i], **hist_kwargs)\n   5986             m = m.astype(float)  # causes problems later if it's an int\n   5987             if mlast is None:\n\n//anaconda/lib/python2.7/site-packages/numpy/lib/function_base.pyc in histogram(a, bins, range, normed, weights, density)\n    500     if mn \u003e mx:\n    501         raise ValueError(\n--\u003e 502             'max must be larger than min in range parameter.')\n    503     if not np.all(np.isfinite([mn, mx])):\n    504         raise ValueError(\n\nValueError: max must be larger than min in range parameter.\n```\n\nOr is that intended behavior to make sure people notice that they have faulty values in their data?\n\nIt is apparently related to the determination of range, so it would be very easy to fix\n\n```\n--- a/lib/matplotlib/axes/_axes.py\n+++ b/lib/matplotlib/axes/_axes.py\n@@ -6150,8 +6150,8 @@ class Axes(_AxesBase):\n             xmax = -np.inf\n             for xi in x:\n                 if len(xi) \u003e 0:\n-                    xmin = min(xmin, xi.min())\n-                    xmax = max(xmax, xi.max())\n+                    xmin = min(xmin, np.nanmin(xi))\n+                    xmax = max(xmax, np.nanmax(xi))\n             bin_range = (xmin, xmax)\n\n```\n\nHowever, with this fix one gets a warning when plotting data with nans, but this is already addressed in #6483. \n\nMax\n","author":{"url":"https://github.com/maahn","@type":"Person","name":"maahn"},"datePublished":"2016-08-28T01:05:48.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/6992/matplotlib/issues/6992"}