René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"scatter colorbar ignores boundaries when outside of plot","articleBody":"### Description\r\n\r\nWhen using the `plt.scatter` wrapper, if some dimension of the data is mapped to color and the color bar placed externally, it is forced into a discrete colorbar and the boundaries cannot be modified. The colorbar features are different if placed *inside* the plot.\r\n\r\n1. It would be great for this to generally be fixed.\r\n2. Would it be feasible to add `levels` to the scatter wrapper?\r\n\r\n### Steps to reproduce\r\n\r\n```python\r\nimport numpy as np\r\nimport proplot as plot\r\n\r\nstate = np.random.RandomState(51423)\r\ndata = state.rand(2, 100)\r\n\r\nf, ax = plot.subplots()\r\nax.scatter(*data, marker='o', color=data.sum(axis=0), cmap='Marine',\r\n           colorbar='l', vmin=0, vmax=2,\r\n           colorbar_kw={'boundaries': plot.arange(0, 2, 0.01),\r\n                                  'locator': 0.5})\r\n\r\nf, ax = plot.subplots()\r\nax.scatter(*data, marker='o', color=data.sum(axis=0), cmap='Marine',\r\n           colorbar='lr', vmin=0, vmax=2,\r\n           colorbar_kw={'boundaries': plot.arange(0, 2, 0.01),\r\n                                  'locator': 0.5})\r\n```\r\n\r\nIn the first bit, I am using `boundaries` as a hack to get at `levels`. I want to force this to much smaller colorbar steps, just to prove that it's working. It seems like `locator` works, but not `boundaries` for instance.\r\n\r\n![Screen Shot 2020-04-22 at 2 53 20 PM](https://user-images.githubusercontent.com/8881170/80032892-12532600-84a9-11ea-9046-2ecbcc4f48be.png)\r\n\r\nIn the second bit, when `colorbar='lr'`, it works fine. I.e., when colorbars are inside the plot, the `boundaries` keyword works. When placed outside (e.g. `l`, `r`, `b`), the colorbar is funky.\r\n\r\n![Screen Shot 2020-04-22 at 2 52 07 PM](https://user-images.githubusercontent.com/8881170/80032739-da4be300-84a8-11ea-8dcc-6ca2cf129306.png)\r\n\r\n### Equivalent steps in matplotlib\r\n\r\nThe default exterior colorbar in `matplotlib` looks a lot better (it's continuous without mislabeling of the discrete boundaries), and the `boundaries` keyword works here.\r\n\r\n```python\r\nimport matplotlib.pyplot as plt\r\nstate = np.random.RandomState(51423)\r\ndata = state.rand(2, 100)\r\n\r\n\r\nf, ax = plt.subplots()\r\np = ax.scatter(*data, marker='o', c=data.sum(axis=0))\r\n\r\nf.colorbar(p, boundaries=plot.arange(0, 2, 0.1))\r\n```\r\n\r\n![Screen Shot 2020-04-22 at 2 55 36 PM](https://user-images.githubusercontent.com/8881170/80033057-56dec180-84a9-11ea-89d9-505e625f8c19.png)\r\n\r\n\r\n\r\n### Proplot version\r\n0.5.0.post46\r\n","author":{"url":"https://github.com/bradyrx","@type":"Person","name":"bradyrx"},"datePublished":"2020-04-22T20:56:00.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/144/proplot/issues/144"}