Matplotlib yaxis 范圍顯示使用絕對值而不是偏移值？

Question

我有以下范圍的 numpy 數據（usec 時間戳的增量）：

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])

當我用 matplotlib.pyplot 繪圖時：

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

我得到以下情節。 為什么 Y 軸以這種方式縮放？ 如何將 Y 軸標記為數據，而不是數據的偏移量？ 有時情節是“+4.nnn”有時不是（取決於數據范圍？）。

繪制“奇怪”：

“正確”繪制：

Answer 1

將 useOffset 設置為 False：

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

Answer 2

這個答案建議禁用偏移量作為全局設置，這對我有用：

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

Answer 3

你也可以使用

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

雖然我更喜歡@HYRY 的回答。