Matplotlib.pyplot.annotate() in Python

# Implementation of matplotlib.pyplot.annotate() # function import matplotlib.pyplot as plt import numpy as np fig, geeeks = plt.subplots() t = np.arange(0.0, 5.0, 0.001) s = np.cos(3 * np.pi * t) line = geeeks.plot(t, s, lw = 2) # Annotation geeeks.annotate('Local Max', xy =(3.3, 1),  xytext =(3, 1.8),   arrowprops = dict(facecolor ='green',  shrink = 0.05),) geeeks.set_ylim(-2, 2) # Plot the Annotation in the graph plt.show() 

# Implementation of matplotlib.pyplot.annotate() # function import numpy as np import matplotlib.pyplot as plt x = np.arange(0, 10, 0.005) y = np.exp(-x / 3.) * np.sin(3 * np.pi * x) fig, ax = plt.subplots() ax.plot(x, y) ax.set_xlim(0, 10) ax.set_ylim(-1, 1) # Setting up the parameters xdata, ydata = 5, 0 xdisplay, ydisplay = ax.transData.transform((xdata, ydata)) bbox = dict(boxstyle ="round", fc ="0.8") arrowprops = dict(  arrowstyle = "->",  connectionstyle = "angle, angleA = 0, angleB = 90,\  rad = 10") offset = 72 # Annotation ax.annotate('data = (%.1f, %.1f)'%(xdata, ydata),  (xdata, ydata), xytext =(-2 * offset, offset),  textcoords ='offset points',  bbox = bbox, arrowprops = arrowprops) disp = ax.annotate('display = (%.1f, %.1f)'%(xdisplay, ydisplay),  (xdisplay, ydisplay), xytext =(0.5 * offset, -offset),  xycoords ='figure pixels',  textcoords ='offset points',  bbox = bbox, arrowprops = arrowprops) # To display the annotation plt.show()