Matplotlib yaxis范围显示使用绝对值而不是偏移值？

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

我有以下范围的numpy数据(usec时间戳的增量):

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:

当我用matplotlib.pyplot绘图时:

 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?).

我得到以下情节。为什么Y轴按比例缩放?如何将Y轴标记为数据,而不是数据的偏移量?有时情节是“+ 4.nnn”,有时它不是(取决于数据范围?)。

Plotted "strangely":
Matplotlib yaxis范围显示使用绝对值而不是偏移值？

Plotted "correctly":
Matplotlib yaxis范围显示使用绝对值而不是偏移值？

3 个解决方案

#1

set useOffset to False:

将useOffset设置为False:

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

#2

You can also use

你也可以使用

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

Although I like @HYRY's answer better.

虽然我更喜欢@ HYRY的答案。

#3

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

这个答案建议禁用偏移量作为全局设置,这对我有用:

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

#1