yaxis range display using absolute values rather than offset values

Question

I have the following range of numpy data (deltas of usec timestamps):

array([ 4.312,  4.317,  4.316,  4.32 ,  4.316,  4.316,  4.319,  4.317,
    4.317,  4.316,  4.318,  4.316,  4.318,  4.316,  4.318,  4.317,
    4.317,  4.317,  4.316,  4.317,  4.318,  4.316,  4.318,  4.316,
    4.318,  4.316,  4.317,  4.317,  4.318,  4.316,  4.317,  4.317,
    4.317,  4.317,  4.317,  4.316,  4.319,  4.315,  4.319,  4.315,
    4.319,  4.315,  4.316,  4.319,  4.317,  4.317,  4.317,  4.318,
    4.315,  4.317,  4.317,  4.317,  4.319,  4.314,  4.32 ,  4.315,
    4.317,  4.318,  4.315,  4.318,  4.317,  4.317,  4.317,  4.316,
    4.317,  4.318,  4.317,  4.317,  4.317,  4.315,  4.319,  4.317,
    4.315,  4.319,  4.316,  4.318,  4.318,  4.315,  4.318,  4.317,
    4.317,  4.321])

When I plot with matplotlib.pyplot:

 import matplotlib.pyplot as plt
 plt.plot( deltas ) 
 plt.show()

I get the following plot. Why is the Y-axis being scaled that way? How can I get the Y-axis to be labeled as the data, not an offset of the data? Sometimes the plot is the "+4.nnn" sometimes it isn't (depending on the data range?).

Plotted "strangely":
Plotted Badly

Plotted "correctly":
Plotted Correctly

HYRY · Accepted Answer · 2012-02-16 00:42:43Z

48

set useOffset to False:

ax = plt.gca()
ax.ticklabel_format(useOffset=False)

answered Feb 16, 2012 at 0:42

HYRY

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2 Comments

K.-Michael Aye Over a year ago

This doesn't work for me anymore in MPL 1.3.0. It says that this now only works with a ScalarFormatter. So the short answer in here solved it for me: stackoverflow.com/questions/3677368/…

Klimaat Over a year ago

ax.get_yaxis().get_major_formatter().set_useOffset(False)

Evgeni Sergeev · Accepted Answer · 2017-07-24 00:18:09Z

11

This answer suggested disabling the offset as a global setting, which worked for me:

matplotlib.rcParams['axes.formatter.useoffset'] = False

answered Jul 24, 2017 at 0:18

Evgeni Sergeev

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1 Comment

Bernard Esterhuyse Over a year ago

I like this option. I have come across very few instances where I would like to make use of the offset setting.

mathematical.coffee · Accepted Answer · 2012-02-16 00:53:47Z

9

You can also use

ax = plt.gca()
ax.set_yticklabels(ax.get_yticks())

Although I like @HYRY's answer better.

answered Feb 16, 2012 at 0:53

mathematical.coffee

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1 Comment

ImportanceOfBeingErnest Over a year ago

This answer may easily lead to completely wrong outcomes. Never set the labels without fixing the positions as well!! Better use any of the other answers.

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