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matplotlib latex in legend label vs in axis label

For matplotlib, you can label legends and axis labels using tex command syntax. You're supposed to prepend r to the string: r"my tex label". But what I don't understand is why the legend label doesn't care and yet the axis label does care.

Why do the axis labels behave differently than the legend label (or vice versa)?

MWE1 - Crashes

## Hello World! I crash!
import numpy as np
import matplotlib.pyplot as plt
x = np.ones(5)
plt.plot(x, x, label="$\bar{x}$ (but not really)")
plt.xlabel("$\bar{y}$ (but not really)") # I cause the crash
plt.show()

MWE2 - Doesn't Crash

import numpy as np
import matplotlib.pyplot as plt
x = np.ones(5)
plt.plot(x, x, label="$\bar{x}$ (but not really)") # I still don't need prepended r
plt.xlabel(r"$\bar{y}$ (but not really)")
plt.show()
like image 665
Ryan Farber Avatar asked Mar 20 '17 21:03

Ryan Farber


1 Answers

That's no fair comparison. The plot label from MWE2 get's never used, because there is no legend; therefore it will not raise any error. Once you produce this legend using plt.legend() it will of course cause the same kind of error that you'd expect from all other strings that contain MathText commands and are no raw strings.

This crashes:

import numpy as np
import matplotlib.pyplot as plt
x = np.ones(5)
plt.plot(x, x, label="$\bar{x}$ (but not really)") 
plt.xlabel(r"$\bar{y}$ (but not really)")
plt.legend()
plt.show()

Result:

ValueError: 
$ar{x}$ (but not really)
^
Expected end of text, found '$'  (at char 0), (line:1, col:1)

This does not crash, as all strings are raw strings

import numpy as np
import matplotlib.pyplot as plt
x = np.ones(5)
plt.plot(x, x, label=r"$\bar{x}$ (but not really)") 
plt.xlabel(r"$\bar{y}$ (but not really)")
plt.legend()
plt.show()

enter image description here

like image 69
ImportanceOfBeingErnest Avatar answered Sep 20 '22 17:09

ImportanceOfBeingErnest