When data is graphed with an offset


This seems to be a common question (

ax = plt.gca()

will control a single axes

To control it globally set `axes.formatter.useoffset: False` in rcparams.
see http://matplotlib.org/users/customizing.html#a-sample-matplotlibrc-file

Where would you have expected to look for this information in the


PS the sourceforge list is no longer used, please send future mail to
matplotlib-users at python.org

Hi there,

I have been subscribed to matplotlib-users before. I have a new job, and
now I'm connecting from a new email address. I've been using Matplotlib
since before 1.0 was released. Currently, I'm using MPL 1.4.2 and Python
3.5 on Ubuntu Linux 15.04 (if any of that matters).

Please have a look at the following graph:

[image: For matplotlib discussion.png]

The values in the data set used to plot these two graphs range from 14942
to 14948. In other words, the median of the data set is very far from
zero, but the range of the data is very small. With such a data set, MPL
subtracts a large offset value from the data points, choosing a value such
that the remaining differences are small, positive numbers. I understand
the logic behind this, it simplifies graph labeling on the x-axis of the
left graph, and the y-axis of the right graph.

However, I do not like the way that MPL is displaying the offset value.
It is written in small text, and it does not show up in a consistent
place. On a figure with many adjacent axes, it sometimes isn't clear which
axes owns the annotation. I would prefer to incorporate the offset in the
axes title: for example, the title of the left graph could read "internal
thermistor (+14940)".

So, what is this offset value called in Matplotlib? How do I retrieve
it? How can I override its display? I can obviously do this by wrapping
these particular plots in functions which apply the offset before giving
the data to MPL. But I would prefer to work with MPL itself, as I don't
always know when MPL will judge that a data offset value is needed.

Thanks for your help!
*John J. Ladasky Jr., Ph.D.*
*Research Scientist*
*International Technological University*
*2711 N. First St, San Jose, CA 95134 USA*

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On Wed, Jun 22, 2016 at 8:30 PM John Ladasky <jladasky at itu.edu> wrote: