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# Matplotlib.axis.Axis.get_ticklines() function in Python

• Last Updated : 03 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

## matplotlib.axis.Axis.get_ticklines() Function

The Axis.get_ticklines() function in axis module of matplotlib library is used to get the tick lines as a list of Line2D instances.

Syntax: Axis.get_ticklines(self, minor=False)

Parameters: This method accepts the following parameters.

• minor : This parameter contains the boolean value. If True return the minor ticklines, else return the major ticklines.

Return value: This method returns the tick lines as a list of Line2D instances.

Below examples illustrate the matplotlib.axis.Axis.get_ticklines() function in matplotlib.axis:

Example 1:

## Python3

 # Implementation of matplotlib function from matplotlib.axis import Axis  import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Polygon             def func(x):     return (x - 4) * (x - 6) * (x - 5) + 100            a, b = 2, 9  # integral limits x = np.linspace(0, 10) y = func(x)       fig, ax = plt.subplots() ax.plot(x, y, "k", linewidth = 2) ax.set_ylim(bottom = 0)       # Make the shaded region ix = np.linspace(a, b) iy = func(ix) verts = [(a, 0), *zip(ix, iy), (b, 0)]     poly = Polygon(verts, facecolor ='green',                edgecolor ='0.5', alpha = 0.4) ax.add_patch(poly)       ax.text(0.5 * (a + b), 30,          r"$\int_a ^ b f(x)\mathrm{d}x$",         horizontalalignment ='center',          fontsize = 20)       fig.text(0.9, 0.05, '$x$') fig.text(0.1, 0.9, '$y$')       ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False)     ax.set_xticks((a, b-a, b)) ax.set_xticklabels(('$a$', '$valx$', '$b$'))  fig.suptitle('Matplotlib.axis.Axis.get_ticklines()\n\Function Example', fontweight ="bold")  ax.grid()   print("Value of get_ticklines() :")for i in ax.xaxis.get_ticklines():    print(i)      plt.show()

Output:

Value of get_ticklines() :
Line2D()
Line2D()
Line2D()
Line2D()
Line2D()
Line2D()


Example 2:

## Python3

 # Implementation of matplotlib function from matplotlib.axis import Axis  import numpy as np import matplotlib.pyplot as plt       # Fixing random state for reproducibility np.random.seed(19680801)       x = np.linspace(0, 2 * np.pi, 100) y = np.sin(x) y2 = y + 0.2 * np.random.normal(size = x.shape)       fig, ax = plt.subplots() ax.plot(x, y) ax.plot(x, y2)      ax.set_xticks([0, np.pi, 2 * np.pi]) ax.set_xticklabels(['0', r'$\pi$', r'2$\pi$'])  for line in ax.yaxis.get_ticklines():    # line is a Line2D instance    line.set_color('tab:green')    line.set_markersize(25)    line.set_markeredgewidth(3)      ax.spines['left'].set_bounds(-1, 1) ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False)   fig.suptitle('Matplotlib.axis.Axis.get_ticklines()\n\Function Example', fontweight ="bold")  ax.grid()      plt.show()

Output:

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