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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