Matplotlib yaxis范围显示使用绝对值而不是偏移值？

Question

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])

当我用matplotlib.pyplot绘图时:

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

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？).

绘制"奇怪":

绘制"正确":

Answer 1

将useOffset设置为False:

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

Answer 2

你也可以使用

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

虽然我更喜欢@ HYRY的答案.

Answer 3

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