Matplotlib:指定刻度标签的浮点格式 [英] Matplotlib: Specify format of floats for tick labels

问题描述

我正在尝试在matplotlib子图环境中将格式设置为两个十进制数字.不幸的是，我不知道如何解决这个任务.

I am trying to set the format to two decimal numbers in a matplotlib subplot environment. Unfortunately, I do not have any idea how to solve this task.

为避免在y轴上使用科学计数法，我在下面的代码段中使用了ScalarFormatter(useOffset=False).我认为应该通过将其他选项/参数传递给使用的格式化程序来解决我的任务.但是，我在matplotlib的文档中找不到任何提示.

To prevent using scientific notation on the y-axis I used ScalarFormatter(useOffset=False) as you can see in my snippet below. I think my task should be solved by passing further options/arguments to the used formatter. However, I could not find any hint in matplotlib's documentation.

如何设置两位小数位或不设置两位数(两种情况都需要)?不幸的是，我无法提供示例数据.

How can I set two decimal digits or none (both cases are needed)? I am not able to provide sample data, unfortunately.

-片段-

f, axarr = plt.subplots(3, sharex=True)

data = conv_air
x = range(0, len(data))

axarr[0].scatter(x, data)
axarr[0].set_ylabel('$T_\mathrm{air,2,2}$', size=FONT_SIZE)
axarr[0].yaxis.set_major_locator(MaxNLocator(5))
axarr[0].yaxis.set_major_formatter(ScalarFormatter(useOffset=False))
axarr[0].tick_params(direction='out', labelsize=FONT_SIZE)
axarr[0].grid(which='major', alpha=0.5)
axarr[0].grid(which='minor', alpha=0.2)

data = conv_dryer
x = range(0, len(data))

axarr[1].scatter(x, data)
axarr[1].set_ylabel('$T_\mathrm{dryer,2,2}$', size=FONT_SIZE)
axarr[1].yaxis.set_major_locator(MaxNLocator(5))
axarr[1].yaxis.set_major_formatter(ScalarFormatter(useOffset=False))
axarr[1].tick_params(direction='out', labelsize=FONT_SIZE)
axarr[1].grid(which='major', alpha=0.5)
axarr[1].grid(which='minor', alpha=0.2)

data = conv_lambda
x = range(0, len(data))

axarr[2].scatter(x, data)
axarr[2].set_xlabel('Iterationsschritte', size=FONT_SIZE)
axarr[2].xaxis.set_major_locator(MaxNLocator(integer=True))
axarr[2].set_ylabel('$\lambda$', size=FONT_SIZE)
axarr[2].yaxis.set_major_formatter(ScalarFormatter(useOffset=False))
axarr[2].yaxis.set_major_locator(MaxNLocator(5))
axarr[2].tick_params(direction='out', labelsize=FONT_SIZE)
axarr[2].grid(which='major', alpha=0.5)
axarr[2].grid(which='minor', alpha=0.2)

推荐答案

请参见通用中的相关文档>和专门

See the relevant documentation in general and specifically

from matplotlib.ticker import FormatStrFormatter

fig, ax = plt.subplots()

ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))

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