Is there a non-math version of matplotlib.ticker.LogFormatterSciNotation?

I am trying to plot a graph with a logarithmic y-axis using pgf_with_latex, i.e. all text formatting is done by pdflatex. In my matplotlib rc Parameters I define a font to be used. Here comes my problem: The standard matplotlib.ticker.LogFormatterSciNotation formatter used math text and therefore a math font, which does not fit the rest of the fonts (sans-serif).

How can I format the y-axis labels using a formatter from matplotlib.ticker so that I get the labels formatted as powers of 10 with superscripted powers? To be more specific: How do I get these yticklabels formatted the same way but with the font from the xticklabels?

I already tried using different formatters provided by matplotlib.ticker, but none of them has the exponents written the way I want.

Here is an example of what I mean with a MWE below.

import matplotlib as mpl

mpl.use('pgf')
pgf_with_latex = {
        "pgf.texsystem": "pdflatex",
        "font.family": "sans-serif",
        "text.usetex": False,
        "pgf.preamble": [
            r"\usepackage[utf8x]{inputenc}",
            r"\usepackage{tgheros}",  # TeX Gyre Heros sans serif
            r"\usepackage[T1]{fontenc}"
            ]
        }

mpl.rcParams.update(pgf_with_latex)
import matplotlib.pyplot as plt

fig = plt.figure(figsize=[3, 2])
ax = fig.add_subplot(111)
ax.set_yscale("log")
ax.minorticks_off()
ax.set_xlabel("sans-serif font label")
ax.set_ylabel("math font label")
plt.gca().set_ylim([1, 10000])
plt.gcf().tight_layout()


plt.savefig('{}.pdf'.format("test"))

Caution: A TeX distribution has to be installed on your system to run this. I used MikTex 2.9. Also Python 3.6.2 and matplotlib 2.1.2.

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