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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Rely on numpy to properly normalize histograms with unequal bin widths","articleBody":"The source of `hist` contains the following snippets:\r\n```\r\n        Notes\r\n        -----\r\n        Until numpy release 1.5, the underlying numpy histogram function was\r\n        incorrect with `normed`=`True` if bin sizes were unequal.  MPL\r\n        inherited that error.  It is now corrected within MPL when using\r\n        earlier numpy versions.\r\n```\r\n```\r\n        # hist_kwargs = dict(range=range, normed=bool(normed))\r\n        # We will handle the normed kwarg within mpl until we\r\n        # get to the point of requiring numpy \u003e= 1.5.\r\n```\r\nand code for manual handling of the `normed` kwarg.\r\n\r\nGiven that we now require numpy \u003e=1.7.1, we should just use the `density` kwarg to numpy.histogram to do this, and remove our own implementation.","author":{"url":"https://github.com/anntzer","@type":"Person","name":"anntzer"},"datePublished":"2017-03-18T20:44:18.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":2},"url":"https://github.com/8333/matplotlib/issues/8333"}