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Title: Superscripts in axis label cut when saving .eps with bbox_inches="tight" · Issue #7075 · matplotlib/matplotlib · GitHub

Open Graph Title: Superscripts in axis label cut when saving .eps with bbox_inches="tight" · Issue #7075 · matplotlib/matplotlib

X Title: Superscripts in axis label cut when saving .eps with bbox_inches="tight" · Issue #7075 · matplotlib/matplotlib

Description: I have been saving some .eps plots using: matplotlib.pyplot.savefig(file.eps, bbox_inches="tight") and this works as expected; however, when using: matplotlib.rcParams['text.usetex'] = True matplotlib.pyplot.savefig(file.eps, bbox_inches...

Open Graph Description: I have been saving some .eps plots using: matplotlib.pyplot.savefig(file.eps, bbox_inches="tight") and this works as expected; however, when using: matplotlib.rcParams['text.usetex'] = True matplot...

X Description: I have been saving some .eps plots using: matplotlib.pyplot.savefig(file.eps, bbox_inches="tight") and this works as expected; however, when using: matplotlib.rcParams['text.usetex...

Opengraph URL: https://github.com/matplotlib/matplotlib/issues/7075

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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Superscripts in axis label cut when saving .eps with bbox_inches=\"tight\"","articleBody":"I have been saving some .eps plots using:\n`matplotlib.pyplot.savefig(file.eps, bbox_inches=\"tight\")`\n and this works as expected; however, when using:\n`matplotlib.rcParams['text.usetex'] = True` \n`matplotlib.pyplot.savefig(file.eps, bbox_inches=\"tight\")`\nthe y axis label is cut. \n\nIt has been noted before that there has been some issues with .eps fies and usetex (Bounding box no longer works for EPS files if usetex=True #85) but I don't know in what way the bounding box was wrong and I am also using a matplotlib version that is 5 years on.\n\nHere is a somewhat forced example and the results.\n## Example\n\n```\nimport numpy\nfrom matplotlib import pyplot\nfrom matplotlib import gridspec\nfrom matplotlib.collections import LineCollection\n\ndef plotLines(file_name):\n\n    # -- Misc ----------------------------------------------------------------\n    axis_font_size = 50.\n    line_thickness = 3.\n\n    # -- Data ----------------------------------------------------------------\n    angles = numpy.linspace(-180., 180, num=201)\n    amp_values = [1., 2., 3.] \n\n    line_values = []     \n    for amp in reversed(amp_values):\n        sine = amp * (numpy.sin(angles * (numpy.pi/180.)))**-1\n        line_values.append(zip(angles, sine))\n\n    amp_values = numpy.array(amp_values)\n    lines = LineCollection(\n        line_values, \n        array=amp_values, \n        cmap=pyplot.cm.viridis,\n        linewidth=line_thickness\n        )\n\n    # -- Init Plot -----------------------------------------------------------\n    pyplot.clf()  # Clear plot area\n    fig = pyplot.figure()\n    ax_grid = gridspec.GridSpec(\n        1, 2, wspace=0.05, hspace=0.00,\n        width_ratios=[20, 1]\n        )\n\n    # -- Plot ----------------------------------------------------------------\n    plot = pyplot.subplot(ax_grid[0])\n\n    plot.add_collection(lines)\n\n    # Axis limits\n    plot.set_xlim([numpy.min(angles), numpy.max(angles)])\n    plot.set_ylim([-numpy.max(amp_values), numpy.max(amp_values)])\n\n    # Axis labels\n    plot.set_xlabel(\n        \"$\\\\mathrm{Angle} \\\\, \\\\left[^{\\\\circ}\\\\right]$\", \n        fontsize=axis_font_size\n        )\n    plot.set_ylabel(\n        \"$\\\\mathrm{Amp} \\\\,\"\n        \"\\\\times \\\\, \\\\left[\\\\mathrm{sine} \\\\,\"\n        \"\\\\left(\\\\mathrm{Angle}\\\\right)\\\\right]^{-1}$\",\n        fontsize=axis_font_size,\n        )\n\n    # -- Colour Bar ----------------------------------------------------------\n    cbar_axis = pyplot.subplot(ax_grid[1])\n\n    cbar = pyplot.colorbar(lines, ticks=amp_values, cax=cbar_axis)\n\n    # CBar Label\n    cbar.ax.set_ylabel(\n        \"$\\\\mathrm{Amp}$\",\n        fontsize=axis_font_size,\n        )\n\n    # -- Save ----------------------------------------------------------------\n    pyplot.savefig(\n        \"{:s}.eps\".format(file_name),\n        bbox_inches=\"tight\",\n        dpi=600\n        )\n    pyplot.close()\n\n\nif __name__ == \"__main__\":\n    plotLines(\"Without\")\n    import matplotlib as mpl\n    mpl.rcParams['text.usetex'] = True  # Process all text with TeX\n    plotLines(\"With\")\n```\n## Results\n### Without\n\nAs expected\n![without](https://cloud.githubusercontent.com/assets/15086793/18393424/8d1b959e-76b5-11e6-9ced-2d6a23db2166.png)\n### With\n\nY axis label cut\n![with](https://cloud.githubusercontent.com/assets/15086793/18393415/874e90a8-76b5-11e6-883b-e2c1f6a3386d.png)\n## System\n\nMatplotlib 1.5.1\nPython 2.7.12 (Anaconda install)\nCentOS Linux release 7.2.1511\nGPL Ghostscript 9.07 (2013-02-14)\n","author":{"url":"https://github.com/DTHaydon","@type":"Person","name":"DTHaydon"},"datePublished":"2016-09-09T16:04:17.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":7},"url":"https://github.com/7075/matplotlib/issues/7075"}

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og:image:altI have been saving some .eps plots using: matplotlib.pyplot.savefig(file.eps, bbox_inches="tight") and this works as expected; however, when using: matplotlib.rcParams['text.usetex'] = True matplot...
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Superscripts in axis label cut when saving .eps with bbox_inches="tight"https://github.com/matplotlib/matplotlib/issues/7075#top
topic: texthttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22topic%3A%20text%22
topic: text/usetexhttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22topic%3A%20text%2Fusetex%22
v3.6.0https://github.com/matplotlib/matplotlib/milestone/65
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on Sep 9, 2016https://github.com/matplotlib/matplotlib/issues/7075#issue-176046284
#85https://github.com/matplotlib/matplotlib/issues/85
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topic: texthttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22topic%3A%20text%22
topic: text/usetexhttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22topic%3A%20text%2Fusetex%22
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