Here is a somewhat hackish solution but it gets the job done. You wanted a .pdf but you get a bonus .png. :)
import numpy as np
import pandas as pd
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
from PySide.QtGui import QImage
from PySide.QtGui import QPainter
from PySide.QtCore import QSize
from PySide.QtWebKit import QWebPage
arrays = [np.hstack([ ['one']*3, ['two']*3]), ['Dog', 'Bird', 'Cat']*2]
columns = pd.MultiIndex.from_arrays(arrays, names=['foo', 'bar'])
df =pd.DataFrame(np.zeros((3,6)),columns=columns,index=pd.date_range('20000103',periods=3))
h = "<!DOCTYPE html> <html> <body> <p> " + df.to_html() + " </p> </body> </html>";
page = QWebPage()
page.setViewportSize(QSize(5000,5000))
frame = page.mainFrame()
frame.setHtml(h, "text/html")
img = QImage(1000,700, QImage.Format(5))
painter = QPainter(img)
frame.render(painter)
painter.end()
a = img.save("html.png")
pp = PdfPages('html.pdf')
fig = plt.figure(figsize=(8,6),dpi=1080)
ax = fig.add_subplot(1, 1, 1)
img2 = plt.imread("html.png")
plt.axis('off')
ax.imshow(img2)
pp.savefig()
pp.close()
Edits welcome.
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