How can I take this plot and annotate or directly add an underbrace that adds some text between each word, followed I assume by moving the x-label down slightly to make it legible.
Example to create:
Starting code:
import numpy as np import matplotlib.pyplot as plt # Array of values values = np.array([[1,2,3], [1,2,3]]) # Line plot fig, ax = plt.subplots() plt.plot(values[0,:], values[1,:], 'bo-',label='$P_{1}$') # Annotate the points of interest ax.annotate('s', xy=(1.5, 0), xytext=(1.5, -0.8), fontsize=1.5, ha='center', va='bottom', bbox=dict(boxstyle='square', fc='white'), arrowprops=dict(arrowstyle='-[, widthB=45.0, lengthB=1.5', lw=2.0)) ax.annotate('t-s', xy=(2.5, 0), xytext=(2.5, -0.8), fontsize=1.5, ha='center', va='bottom', bbox=dict(boxstyle='square', fc='white'), arrowprops=dict(arrowstyle='-[, widthB=43.0, lengthB=2.5', lw=2.0)) plt.legend();
Advertisement
Answer
The coordinates of the annotations were set by axis and the position was set manually.
ax.annotate('s', xy=(0.275, -0.15), xytext=(0.275, -0.35), fontsize=14, ha='center', va='bottom', xycoords='axes fraction', bbox=dict(boxstyle='square', fc='0.8'), arrowprops=dict(arrowstyle='-[, widthB=5.0, lengthB=.5', lw=2.0)) ax.annotate('t-s', xy=(0.725, -0.15), xytext=(0.725, -0.35), fontsize=14, ha='center', va='bottom', xycoords='axes fraction', bbox=dict(boxstyle='square', fc='0.8'), arrowprops=dict(arrowstyle='-[, widthB=5.0, lengthB=.5', lw=2.0))