Title: ValueError after moving legend and rcParams.update · Issue #6113 · matplotlib/matplotlib · GitHub
Open Graph Title: ValueError after moving legend and rcParams.update · Issue #6113 · matplotlib/matplotlib
X Title: ValueError after moving legend and rcParams.update · Issue #6113 · matplotlib/matplotlib
Description: Minimal example: import matplotlib.pyplot as plt %matplotlib inline import numpy as np N = 100 x = np.arange(N) plt.scatter(x, x+ np.random.randn(N), label = "tips") plt.legend() ax = plt.gca() # Locate the legend to the optimal position...
Open Graph Description: Minimal example: import matplotlib.pyplot as plt %matplotlib inline import numpy as np N = 100 x = np.arange(N) plt.scatter(x, x+ np.random.randn(N), label = "tips") plt.legend() ax = plt.gca() # L...
X Description: Minimal example: import matplotlib.pyplot as plt %matplotlib inline import numpy as np N = 100 x = np.arange(N) plt.scatter(x, x+ np.random.randn(N), label = "tips") plt.legend() ax = plt...
Opengraph URL: https://github.com/matplotlib/matplotlib/issues/6113
X: @github
Domain: github.com
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"ValueError after moving legend and rcParams.update","articleBody":"Minimal example:\n\n```\nimport matplotlib.pyplot as plt\n%matplotlib inline\nimport numpy as np\n\nN = 100\nx = np.arange(N)\nplt.scatter(x, x+ np.random.randn(N), label = \"tips\")\nplt.legend()\nax = plt.gca()\n\n# Locate the legend to the optimal position (automatic location does not work)\nlegend = ax.get_legend()\nlabels = (x.get_text() for x in legend.get_texts())\nax.legend(legend.legendHandles, labels, loc='lower right')\n\n# Reset parameters\nplt.matplotlib.rcParams.update(plt.matplotlib.rcParamsDefault)\n\n# Plot again\nplt.plot([0,1], [0,1])\n```\n\nProduces error:\n\n```\n---------------------------------------------------------------------------\nValueError Traceback (most recent call last)\n/usr/local/lib/python3.4/dist-packages/IPython/core/formatters.py in __call__(self, obj)\n 335 pass\n 336 else:\n--\u003e 337 return printer(obj)\n 338 # Finally look for special method names\n 339 method = _safe_get_formatter_method(obj, self.print_method)\n\n/usr/local/lib/python3.4/dist-packages/IPython/core/pylabtools.py in \u003clambda\u003e(fig)\n 205 \n 206 if 'png' in formats:\n--\u003e 207 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))\n 208 if 'retina' in formats or 'png2x' in formats:\n 209 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))\n\n/usr/local/lib/python3.4/dist-packages/IPython/core/pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)\n 115 \n 116 bytes_io = BytesIO()\n--\u003e 117 fig.canvas.print_figure(bytes_io, **kw)\n 118 data = bytes_io.getvalue()\n 119 if fmt == 'svg':\n\n/usr/local/lib/python3.4/dist-packages/matplotlib/backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)\n 2149 origedgecolor = self.figure.get_edgecolor()\n 2150 \n-\u003e 2151 self.figure.dpi = dpi\n 2152 self.figure.set_facecolor(facecolor)\n 2153 self.figure.set_edgecolor(edgecolor)\n\n/usr/local/lib/python3.4/dist-packages/matplotlib/figure.py in _set_dpi(self, dpi)\n 409 def _set_dpi(self, dpi):\n 410 self._dpi = dpi\n--\u003e 411 self.dpi_scale_trans.clear().scale(dpi, dpi)\n 412 self.callbacks.process('dpi_changed', self)\n 413 dpi = property(_get_dpi, _set_dpi)\n\n/usr/local/lib/python3.4/dist-packages/matplotlib/transforms.py in scale(self, sx, sy)\n 1993 scale_mtx = np.array(\n 1994 [[sx, 0.0, 0.0], [0.0, sy, 0.0], [0.0, 0.0, 1.0]],\n-\u003e 1995 np.float_)\n 1996 self._mtx = np.dot(scale_mtx, self._mtx)\n 1997 self.invalidate()\n\nValueError: could not convert string to float: 'figure'\n\n\u003cmatplotlib.figure.Figure at 0x7fc0f80c3860\u003e\n```\n- [ ] Matplotlib version, Python version and Platform (Windows, OSX, Linux ...)\n\n{'dirty': False,\n'error': None,\n'full-revisionid': 'c0728d23ca5adbff6b79cda3153d0d36bff12c55',\n'version': '1.5.1+1304.gc0728d2'}\n\nPython 3.4\nUbuntu 14\n- [ ] How did you install Matplotlib and Python (pip, anaconda, from source ...)\n pip3 github\n","author":{"url":"https://github.com/DSLituiev","@type":"Person","name":"DSLituiev"},"datePublished":"2016-03-05T22:49:38.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":2},"url":"https://github.com/6113/matplotlib/issues/6113"}
| route-pattern | /_view_fragments/issues/show/:user_id/:repository/:id/issue_layout(.:format) |
| route-controller | voltron_issues_fragments |
| route-action | issue_layout |
| fetch-nonce | v2:a8e8ba2a-ff1a-f3b4-4a92-27a2f2ed3063 |
| current-catalog-service-hash | 81bb79d38c15960b92d99bca9288a9108c7a47b18f2423d0f6438c5b7bcd2114 |
| request-id | DA0C:14453C:13463E:199ADA:6A52E046 |
| html-safe-nonce | 5db6125b07a128bccaf9b2213f15413c9cd6a19c6bc2f6270e65bc0fdf205767 |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJEQTBDOjE0NDUzQzoxMzQ2M0U6MTk5QURBOjZBNTJFMDQ2IiwidmlzaXRvcl9pZCI6IjYxNzExNDk3Mjg2OTAxMzUxMTAiLCJyZWdpb25fZWRnZSI6ImlhZCIsInJlZ2lvbl9yZW5kZXIiOiJpYWQifQ== |
| visitor-hmac | d218221c91448191b35f148ef20124bded100b421551a702dc00f47de766e92c |
| hovercard-subject-tag | issue:138730878 |
| github-keyboard-shortcuts | repository,issues,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/_view_fragments/issues/show/matplotlib/matplotlib/6113/issue_layout |
| twitter:image | https://opengraph.githubassets.com/6f563e0b1d95c2fea7f5f19bcaf454e910b4e11f6241047eaf6106c8a6f24673/matplotlib/matplotlib/issues/6113 |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/6f563e0b1d95c2fea7f5f19bcaf454e910b4e11f6241047eaf6106c8a6f24673/matplotlib/matplotlib/issues/6113 |
| og:image:alt | Minimal example: import matplotlib.pyplot as plt %matplotlib inline import numpy as np N = 100 x = np.arange(N) plt.scatter(x, x+ np.random.randn(N), label = "tips") plt.legend() ax = plt.gca() # L... |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| og:author:username | DSLituiev |
| hostname | github.com |
| expected-hostname | github.com |
| None | b9a586c06a05a7a86fc7e3f4dbd03e42f6869085879aa184aa6369456dbd50fb |
| turbo-cache-control | no-preview |
| go-import | github.com/matplotlib/matplotlib git https://github.com/matplotlib/matplotlib.git |
| octolytics-dimension-user_id | 215947 |
| octolytics-dimension-user_login | matplotlib |
| octolytics-dimension-repository_id | 1385122 |
| octolytics-dimension-repository_nwo | matplotlib/matplotlib |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 1385122 |
| octolytics-dimension-repository_network_root_nwo | matplotlib/matplotlib |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | 07a982c1d40157c619b364352b704c3ce66bb332 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width