autoscaling of yaxis fails

[lvankampenhout]

I have a model dataset that has a maximum value of (approx.) 10,000 or 1e4.
When I plot this with MPL some of the timeseries come out with a wrong axis. As you can see in the attached figure, the maximum appears to be 2.0e4.
One timeseries exhibits the value 7.0e3 (shown in Figure, not example).

Minimal example attached (needs text files).

MPL version 1.5.3, Python 3.5.2, both installed from anaconda
Mac OSX 10.11.6

y0.txt
y1.txt
y2.txt
y3.txt
y4.txt
y5.txt
y6.txt
y7.txt
y8.txt
y9.txt

example.py.txt

[afvincent]

It looks like the offset label is an additive one in the case of your screenshot (and should thus be read like 'tick_value = tick_label + 999x'), or am I wrong?

[lvankampenhout]

Whoops, I didn't know additive offsets existed, I interpreted this as a multiplicative one. Inserting

y_formatter = matplotlib.ticker.ScalarFormatter(useOffset=False)
ax.yaxis.set_major_formatter(y_formatter)

found here
fixed the issue ! Please close

[lvankampenhout]

Thanks afvincent

[afvincent]

You're welcome.

If you want to know more about tick locators and formatters, here is some doc:
http://matplotlib.org/api/ticker_api.html.

Some nice examples are available in the development gallery (and should be shipped with matplotlib v2):
http://matplotlib.org/devdocs/examples/ticks_and_spines/tick-locators.html
http://matplotlib.org/devdocs/examples/ticks_and_spines/tick-formatters.html