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[matplotlib mplcursors demo] mplcursors provides a very easy way to add hover text capability to matplotlib #matplotlib #mplcursors #window_title #GridSpec #layout #tooltip #hover_text #annotation #tick_labels
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import matplotlib.pyplot as plt | |
from matplotlib import gridspec | |
import mplcursors | |
annotations0 = ['cat', 'dog', 'hare'] | |
x = [1, 2, 3] | |
y = [0, 2.5, 3] | |
fontsize=20 | |
suptitle = 'Title above plot' | |
window_title = 'window title' | |
fig = plt.figure(figsize=(20,20)) | |
fig.suptitle(suptitle, fontsize=fontsize) | |
fig.canvas.set_window_title(window_title) | |
gs = gridspec.GridSpec(1, 1) | |
ax0 = fig.add_subplot(gs[0]) | |
plot0 = ax0.plot(x, y, marker='o', color='k', linestyle='None', markersize='8') | |
cursor_plot0 = mplcursors.cursor(plot0) | |
cursor_plot0.connect('add', lambda sel: sel.annotation.set_text(annotations0[sel.target.index])) | |
ax0.grid(True) | |
ax0.set_xlabel('X', fontsize=fontsize) | |
ax0.set_ylabel('Y', fontsize=fontsize) | |
plt.setp(ax0.get_xticklabels(), visible=True, fontsize=fontsize) # Modify tick label properties. | |
plt.setp(ax0.get_yticklabels(), visible=True, fontsize=fontsize) | |
ax0.set_aspect('equal', 'box') # Gives the x-axis and the y-axis the same scaling. | |
plt.show() |
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