René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"weird bug when using custom formatter; tick labels overlapping","articleBody":"### Bug report\r\n\r\n**Bug summary**\r\n\r\nI use a custom tick formatter in my plot. It worked great with an older version of matplotlib but I just upgraded to 2.0 and I see overlapping tickmark labels (the default labels are still there):\r\n\r\n![image](https://cloud.githubusercontent.com/assets/738893/24481436/17ce6b6c-149f-11e7-98b1-fcc73fc084d4.png)\r\n\r\n**Code for reproduction**\r\n\r\n```python\r\nimport numpy as np\r\nimport matplotlib\r\nimport matplotlib.pyplot as plt\r\n\r\n\r\nclass MyLogFormatter(matplotlib.ticker.LogFormatter):\r\n    def __call__(self, x, pos=None):\r\n        e = np.floor(np.log10(x))\r\n        m = x/(10**e)\r\n        if x \u003c 0.01:\r\n            return '%de%d' % (round(m), e)\r\n        elif x \u003c 1:\r\n            return '%.2f' % x\r\n        elif x \u003c 10:\r\n            return '%.1f' % x\r\n        elif x \u003c 1000:\r\n            return '%.0f' % x\r\n        else:\r\n            return '%de%d' % (round(m), e)\r\n    @staticmethod\r\n    def ticks(xmin, xmax):\r\n        ndecades = np.ceil(np.log10(xmax/xmin))\r\n        if ndecades \u003e 6:\r\n            mantissas = [1]\r\n        elif ndecades \u003e 3:\r\n            mantissas = [1,3]\r\n        else:\r\n            mantissas = [1,2,5]\r\n        roundnumbers = (10**np.arange(np.floor(np.log10(xmin)), np.ceil(np.log10(xmax)))*np.atleast_2d(mantissas).T).T.flatten()\r\n        return np.hstack((xmin, [x for x in roundnumbers if xmin*1.25 \u003c x \u003c 0.8*xmax], xmax))        \r\n\r\ndata = 0\r\nfor k in xrange(4):\r\n    data += np.random.randint(6, size=100000)\r\n    \r\ncount,edges = np.histogram(data,10)\r\nx = 100 * (1.1 ** edges)\r\n\r\nfig = plt.figure(figsize=(8,6))\r\nax = fig.add_subplot(1,1,1,xscale='log')\r\nax.bar(x[:-1], count, width=x[1:] - x[:-1], color='red',edgecolor='black',align='edge')\r\nxmin = min(x)\r\nxmax = max(x)\r\nLF = MyLogFormatter(labelOnlyBase=False)\r\nax.set_xticks(LF.ticks(xmin, xmax))\r\nax.xaxis.set_major_formatter(LF)     \r\n```\r\n\r\n**Actual outcome**\r\n\r\n- The output produced by the above code, which may be a screenshot, console output, etc.\r\n\r\n![image](https://cloud.githubusercontent.com/assets/738893/24481436/17ce6b6c-149f-11e7-98b1-fcc73fc084d4.png)\r\n\r\n**Expected outcome**\r\n\r\nprevious version was Matplotlib 1.5.1\r\n(can't post right now, I will have to downgrade my anaconda version)\r\n\r\n**Matplotlib version**\r\n\r\n- Matplotlib 2.0\r\n`Python 2.7.12 |Anaconda 4.1.1 (64-bit)| (default, Jun 29 2016, 11:07:13) [MSC v.1500 64 bit (AMD64)] on win32`\r\n\r\n\r\n\r\n","author":{"url":"https://github.com/jason-s","@type":"Person","name":"jason-s"},"datePublished":"2017-03-29T23:48:12.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/8401/matplotlib/issues/8401"}