offset = mne_corners[-1] - np.array([mne_clip.get_extents().size[0] / 2.,
-dims[1]]) - tagline_offset_fudge
tag_clip = Path(offset + vert * mult, tag_path.codes)
tag_patch = PathPatch(tag_clip, facecolor='k', edgecolor='none', zorder=10)
ax.add_patch(tag_patch)
yl = ax.get_ylim()
yy = np.max([tag_clip.vertices.max(0)[-1],
tag_clip.vertices.min(0)[-1]])
ax.set_ylim(np.ceil(yy), yl[-1])
# only save actual image extent plus a bit of padding
extent = Bbox(np.c_[ax.get_xlim(), ax.get_ylim()])
extent = extent.transformed(ax.transData + fig.dpi_scale_trans.inverted())
plt.draw()
plt.savefig(op.join(static_dir, 'mne_logo.png'),
bbox_inches=extent.expanded(1.2, 1.))
plt.close()
# 92x22 image
w_px = 92
h_px = 22
center_fudge = np.array([12, 0.5])
scale_fudge = 2.1
rcParams.update({'font.sans-serif': ['Primetime'], 'font.weight': 'black'})
x = np.linspace(-8., 8., w_px / 2.)
y = np.linspace(-3., 3., h_px / 2.)
X, Y = np.meshgrid(x, y)
# initialize figure (no axes, margins, etc)
fig = plt.figure(1, figsize=(w_px / dpi, h_px / dpi), frameon=False, dpi=dpi)
ax = plt.Axes(fig, [0., 0., 1., 1.])
ax.set_axis_off()
