"import numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib.transforms as mtransforms\n\n\ndef get_image():\n delta = 0.25\n x = y = np.arange(-3.0, 3.0, delta)\n X, Y = np.meshgrid(x, y)\n Z1 = np.exp(-X**2 - Y**2)\n Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)\n Z = (Z1 - Z2)\n return Z\n\n\ndef do_plot(ax, Z, transform):\n im = ax.imshow(Z, interpolation='none',\n origin='lower',\n extent=[-2, 4, -3, 2], clip_on=True)\n\n trans_data = transform + ax.transData\n im.set_transform(trans_data)\n\n # display intended extent of the image\n x1, x2, y1, y2 = im.get_extent()\n ax.plot([x1, x2, x2, x1, x1], [y1, y1, y2, y2, y1], \"y--\",\n transform=trans_data)\n ax.set_xlim(-5, 5)\n ax.set_ylim(-4, 4)\n\n\n# prepare image and figure\nfig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)\nZ = get_image()\n\n# image rotation\ndo_plot(ax1, Z, mtransforms.Affine2D().rotate_deg(30))\n\n# image skew\ndo_plot(ax2, Z, mtransforms.Affine2D().skew_deg(30, 15))\n\n# scale and reflection\ndo_plot(ax3, Z, mtransforms.Affine2D().scale(-1, .5))\n\n# everything and a translation\ndo_plot(ax4, Z, mtransforms.Affine2D().\n rotate_deg(30).skew_deg(30, 15).scale(-1, .5).translate(.5, -1))\n\nplt.show()"

Z1 = np.exp(-X**2 - Y**2)

Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)

Z = (Z1 - Z2)

{

"cells": [

{

"cell_type": "code",

"execution_count": null,

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"source": [

"%matplotlib inline"

]

},

{

"cell_type": "markdown",

"metadata": {},

"source": [

"\n# Aligning Labels\n\n\nAligning xlabel and ylabel using `Figure.align_xlabels` and\n`Figure.align_ylabels`\n\n`Figure.align_labels` wraps these two functions.\n\nNote that the xlabel \"XLabel1 1\" would normally be much closer to the\nx-axis, and \"YLabel1 0\" would be much closer to the y-axis of their\nrespective axes.\n\n"

]

},

{

"cell_type": "code",

"execution_count": null,

"metadata": {

"collapsed": false

},

"outputs": [],

"source": [

"import matplotlib.pyplot as plt\nimport numpy as np\nimport matplotlib.gridspec as gridspec\n\nfig = plt.figure(tight_layout=True)\ngs = gridspec.GridSpec(2, 2)\n\nax = fig.add_subplot(gs[0, :])\nax.plot(np.arange(0, 1e6, 1000))\nax.set_ylabel('YLabel0')\nax.set_xlabel('XLabel0')\n\nfor i in range(2):\n ax = fig.add_subplot(gs[1, i])\n ax.plot(np.arange(1., 0., -0.1) * 2000., np.arange(1., 0., -0.1))\n ax.set_ylabel('YLabel1 %d' % i)\n ax.set_xlabel('XLabel1 %d' % i)\n if i == 0:\n for tick in ax.get_xticklabels():\n tick.set_rotation(55)\nfig.align_labels() # same as fig.align_xlabels(); fig.align_ylabels()\n\nplt.show()"

]

}

],

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"display_name": "Python 3",

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"name": "python3"

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"name": "ipython",

"version": 3

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"file_extension": ".py",

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import matplotlib.pyplot as plt

import numpy as np

import matplotlib.gridspec as gridspec

fig = plt.figure(tight_layout=True)

gs = gridspec.GridSpec(2, 2)

ax = fig.add_subplot(gs[0, :])

ax.plot(np.arange(0, 1e6, 1000))

ax.set_ylabel('YLabel0')

ax.set_xlabel('XLabel0')

for i in range(2):

ax = fig.add_subplot(gs[1, i])

ax.plot(np.arange(1., 0., -0.1) * 2000., np.arange(1., 0., -0.1))

ax.set_ylabel('YLabel1 %d' % i)

ax.set_xlabel('XLabel1 %d' % i)

if i == 0:

for tick in ax.get_xticklabels():

tick.set_rotation(55)

fig.align_labels() # same as fig.align_xlabels(); fig.align_ylabels()

plt.show()

"import numpy as np\nimport matplotlib.pyplot as plt\n\nbox = dict(facecolor='yellow', pad=5, alpha=0.2)\n\nfig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)\nfig.subplots_adjust(left=0.2, wspace=0.6)\n\n# Fixing random state for reproducibility\nnp.random.seed(19680801)\n\nax1.plot(2000*np.random.rand(10))\nax1.set_title('ylabels not aligned')\nax1.set_ylabel('misaligned 1', bbox=box)\nax1.set_ylim(0, 2000)\n\nax3.set_ylabel('misaligned 2',bbox=box)\nax3.plot(np.random.rand(10))\n\nlabelx = -0.3 # axes coords\n\nax2.set_title('ylabels aligned')\nax2.plot(2000*np.random.rand(10))\nax2.set_ylabel('aligned 1', bbox=box)\nax2.yaxis.set_label_coords(labelx, 0.5)\nax2.set_ylim(0, 2000)\n\nax4.plot(np.random.rand(10))\nax4.set_ylabel('aligned 2', bbox=box)\nax4.yaxis.set_label_coords(labelx, 0.5)\n\nplt.show()"

fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)

"from matplotlib.patches import Rectangle, Ellipse\n\nfrom matplotlib.offsetbox import AnchoredOffsetbox, AuxTransformBox, VPacker,\\\n TextArea, DrawingArea\n\n\nclass AnchoredText(AnchoredOffsetbox):\n def __init__(self, s, loc, pad=0.4, borderpad=0.5,\n prop=None, frameon=True):\n\n self.txt = TextArea(s,\n minimumdescent=False)\n\n super(AnchoredText, self).__init__(loc, pad=pad, borderpad=borderpad,\n child=self.txt,\n prop=prop,\n frameon=frameon)\n\n\nclass AnchoredSizeBar(AnchoredOffsetbox):\n def __init__(self, transform, size, label, loc,\n pad=0.1, borderpad=0.1, sep=2, prop=None, frameon=True):\n \"\"\"\n Draw a horizontal bar with the size in data coordinate of the given\n axes. A label will be drawn underneath (center-aligned).\n\n pad, borderpad in fraction of the legend font size (or prop)\n sep in points.\n \"\"\"\n self.size_bar = AuxTransformBox(transform)\n self.size_bar.add_artist(Rectangle((0, 0), size, 0, ec=\"black\", lw=1.0))\n\n self.txt_label = TextArea(label, minimumdescent=False)\n\n self._box = VPacker(children=[self.size_bar, self.txt_label],\n align=\"center\",\n pad=0, sep=sep)\n\n AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,\n child=self._box,\n prop=prop,\n frameon=frameon)\n\n\nclass AnchoredEllipse(AnchoredOffsetbox):\n def __init__(self, transform, width, height, angle, loc,\n pad=0.1, borderpad=0.1, prop=None, frameon=True):\n \"\"\"\n Draw an ellipse the size in data coordinate of the give axes.\n\n pad, borderpad in fraction of the legend font size (or prop)\n \"\"\"\n self._box = AuxTransformBox(transform)\n self.ellipse = Ellipse((0, 0), width, height, angle)\n self._box.add_artist(self.ellipse)\n\n AnchoredOffsetbox.__init__(self, loc, pad=pad, borderpad=borderpad,\n child=self._box,\n prop=prop,\n frameon=frameon)\n\n\nclass AnchoredDrawingArea(AnchoredOffsetbox):\n def __init__(self, width, height, xdescent, ydescent,\n loc, pad=0.4, borderpad=0.5, prop=None, frameon=True):\n\n self.da = DrawingArea(width, height, xdescent, ydescent)\n\n super(AnchoredDrawingArea, self).__init__(loc, pad=pad,\n borderpad=borderpad,\n child=self.da,\n prop=None,\n frameon=frameon)\n\n\nif __name__ == \"__main__\":\n\n import matplotlib.pyplot as plt\n\n ax = plt.gca()\n ax.set_aspect(1.)\n\n at = AnchoredText(\"Figure 1a\",\n loc=2, frameon=True)\n at.patch.set_boxstyle(\"round,pad=0.,rounding_size=0.2\")\n ax.add_artist(at)\n\n from matplotlib.patches import Circle\n ada = AnchoredDrawingArea(20, 20, 0, 0,\n loc=1, pad=0., frameon=False)\n p = Circle((10, 10), 10)\n ada.da.add_artist(p)\n ax.add_artist(ada)\n\n # draw an ellipse of width=0.1, height=0.15 in the data coordinate\n ae = AnchoredEllipse(ax.transData, width=0.1, height=0.15, angle=0.,\n loc=3, pad=0.5, borderpad=0.4, frameon=True)\n\n ax.add_artist(ae)\n\n # draw a horizontal bar with length of 0.1 in Data coordinate\n # (ax.transData) with a label underneath.\n asb = AnchoredSizeBar(ax.transData,\n 0.1,\n r\"1$^{\\prime}$\",\n loc=8,\n pad=0.1, borderpad=0.5, sep=5,\n frameon=False)\n ax.add_artist(asb)\n\n plt.draw()\n plt.show()"

self.size_bar.add_artist(Rectangle((0, 0), size, 0, ec="black", lw=1.0))

"\n# Decay\n\n\nThis example showcases:\n- using a generator to drive an animation,\n- changing axes limits during an animation.\n\n"