René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Feature request: auto locate minor ticks on log scaled color bar","articleBody":"Matplotlib version 1.5.1, Python version 2.7.6 (Enthought Canopy) and OSX\n\nAs detailed in this [stack overflow post](http://stackoverflow.com/questions/20079270/minor-ticks-in-matplotlibs-colorbar/20079644#20079644), you have to explicitly specify the minor tick locations on a log scaled color bar.  It would be nice if matplotlib would do this for you, instead of having to call `minorticks = p.norm(np.hstack([np.arange(2, 10, 1)/10.0, np.arange(2, 10, 1)/1.0])` in the code below\n\n``` python\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib.colors import LogNorm\n\nx = np.linspace(1,10,10)\ny = np.linspace(1,10,10)\nX, Y = np.meshgrid(x,y)\nZ = np.abs(np.cos(X**2 - Y**2) * X**2 * Y)\nf, ax = plt.subplots()\np = plt.pcolormesh(X, Y, Z, norm=LogNorm(), vmin=1e-2, vmax=1e2)\ncb = plt.colorbar(p, ax=ax, orientation='horizontal', aspect=10)\n# We need to nomalize the tick locations so that they're in the range from 0-1...\nminorticks = p.norm(np.hstack([np.arange(2, 10, 1)/10.0, np.arange(2, 10, 1)/1.0]))\ncb.ax.xaxis.set_ticks(minorticks, minor=True)\nplt.show()\n```\n","author":{"url":"https://github.com/breedlun","@type":"Person","name":"breedlun"},"datePublished":"2016-09-20T04:01:58.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":10},"url":"https://github.com/7141/matplotlib/issues/7141"}