[英]matplotlib: override underscore in string when using LaTeX in text box
I need to write in the text box of a plot, and within a LaTeX environment (since I also need to write some math code), the name of a variable that contains an underscore. 我需要在绘图的文本框中以及在LaTeX环境中(因为我还需要编写一些数学代码)编写包含下划线的变量的名称。
The problem is that LaTeX interprets the underscore in the variable's name as a subindex command, and the name of the variable is distorted. 问题在于,LaTeX将变量名称中的下划线解释为子索引命令,并且变量名称失真。 See (MWE below):
请参阅(下面的MWE):
where the name of the variable is m_out
. 变量名称为
m_out
。
How can I write a string containing an underscore without LaTeX interpreting it as the subindex command? 如何在不将LaTeX解释为subindex命令的情况下编写包含下划线的字符串?
In pure LaTeX I could use the \\textunderscore
command to write: 在纯LaTeX中,我可以使用
\\textunderscore
命令来编写:
N = m \textunderscore out \pm 0.2
which correctly produces: 正确产生:
but this doesn't seem to work here. 但这似乎在这里不起作用。
MWE MWE
import matplotlib.pyplot as plt
import matplotlib.offsetbox as offsetbox
import random
# Generate random data.
x = [random.random() for i in xrange(10)]
y = [random.random() for i in xrange(10)]
# Define string with underscore.
name = 'm_out'
# Create plot.
fig = plt.figure()
ax = plt.subplot()
# Add text box
text = r'$N={}\pm0.2$'.format(name)
ob = offsetbox.AnchoredText(text, loc=1, prop=dict(size=12))
ax.add_artist(ob)
plt.scatter(x, y)
# Save plot to file.
fig.tight_layout()
plt.savefig('out.png')
A simple escape does the trick: 一个简单的转义就能达到目的:
name = 'm\_out'
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