如何防止在 Python matplotlib 图中将数字更改为指数形式
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How to prevent numbers being changed to exponential form in Python matplotlib figure
提问by IanRoberts
I'm using Matplotlib in Python to plot simple x-y datasets. This produces nice-looking graphs, although when I "zoom in" too close on various sections of the plotted graph using the Figure View (which appears when you execute plt.show()), the x-axis values change from standard number form (1050, 1060, 1070 etc.) to scientific form with exponential notation (e.g. 1, 1.5, 2.0 with the x-axis label given as +1.057e3).
我在 Python 中使用 Matplotlib 来绘制简单的 xy 数据集。这会生成漂亮的图形，尽管当我使用图形视图（在您执行 时出现plt.show()）在绘制图形的各个部分“放大”太近时，x 轴值会从标准数字形式（1050、1060、 1070 等）转换为具有指数符号的科学形式（例如 1、1.5、2.0，x 轴标签为+1.057e3）。
I'd prefer my figures to retain the simple numbering of the axis, rather than using exponential form. Is there a way I can force Matplotlib to do this?
我更喜欢我的数字保留轴的简单编号，而不是使用指数形式。有没有办法可以强制 Matplotlib 执行此操作？
采纳答案by tacaswell
The formatting of tick labels is controlled by a Formatterobject, which assuming you haven't done anything fancy will be a ScalerFormatterby default. This formatter will use a constant shift if the fractional change of the values visible is very small. To avoid this, simply turn it off:
刻度标签的格式由Formatter对象控制，假设您没有做任何花哨的事情ScalerFormatter，默认情况下将是. 如果可见值的小数变化非常小，则此格式化程序将使用常量移位。为避免这种情况，只需将其关闭：
plt.plot(arange(0,100,10) + 1000, arange(0,100,10))
ax = plt.gca()
ax.get_xaxis().get_major_formatter().set_useOffset(False)
plt.draw()
If you want to avoid scientific notation in general,
如果你想避免一般的科学记数法，
ax.get_xaxis().get_major_formatter().set_scientific(False)
Can control this with globally via the axes.formatter.useoffsetrcparam.
可以通过axes.formatter.useoffsetrcparam全局控制它。
回答by Animesh Saxena
You can use something like:
您可以使用以下内容：
from matplotlib.ticker import ScalarFormatter, FormatStrFormatter
ax.xaxis.set_major_formatter(FormatStrFormatter('%.0f'))
回答by Eki
You can use a simpler command to turn it off:
您可以使用更简单的命令将其关闭：
plt.ticklabel_format(useOffset=False)
