Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.
matplotlib.pyplot.axhline() Function
The axhline() function in pyplot module of matplotlib library is used to add a horizontal line across the axis.
Syntax: matplotlib.pyplot.axhline(y=0, xmin=0, xmax=1, **kwargs)
Parameters: This method accept the following parameters that are described below:
- y: This parameter is an optional and it is position in data coordinates of the horizontal line.
- xmin: This parameter is a scalar and optional. Its default value is 0.
- xmax: This parameter is a scalar and optional. Its default value is 1.
Returns: This returns the following:
line : This returns the line created by this function.
Below examples illustrate the matplotlib.pyplot.axhline() function in matplotlib.pyplot:
Example #1:
# Implementation of matplotlib.pyplot.annotate() function import numpy as np import matplotlib.pyplot as plt t = np.linspace(-10, 10, 100) sig = 1 / t plt.axhline(y = 0, color ="green", linestyle ="--") plt.axhline(y = 0.5, color ="green", linestyle =":") plt.axhline(y = 1.0, color ="green", linestyle ="--") plt.axvline(color ="black") plt.plot(t, sig, linewidth = 2, label = r"$\sigma(t) = \frac{1}{x}$") plt.xlim(-10, 10) plt.xlabel("t") plt.title("Graph of 1 / x") plt.legend(fontsize = 14) plt.show() |
Output:
Example #2:
# Implementation of matplotlib.pyplot.annotate() # function import numpy as np import matplotlib.pyplot as plt x = np.linspace(0, 13, 100) plt.rcParams['lines.linewidth'] = 2plt.figure() plt.plot(x, np.sin(x), label ='Line1', color ='green', linestyle ="--") plt.plot(x, np.sin(x + 0.5), label ='Line2', color ='black', linestyle =":") plt.axhline(0, label ='Line3', color ='black') plt.title('Axhline() Example') l = plt.legend(loc ='upper right') # legend between blue and orange # line l.set_zorder(2.5) plt.show() |
Output:
