Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.tick_params() Function
The Axes.tick_params() function in axes module of matplotlib library is used to control behavior of major tick locators.
Syntax: Axes.tick_params(self, axis=’both’, **kwargs)
Parameters: This method accepts the following parameters.
- axis : This parameter is the used to which axis to apply the parameters to.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axes.Axes.tick_params() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np values = np.array([ 0.015 , 0.166 , 0.133 , 0.159 , 0.041 , 0.024 , 0.195 , 0.039 , 0.161 , 0.018 , 0.143 , 0.056 , 0.125 , 0.096 , 0.094 , 0.051 , 0.043 , 0.021 , 0.138 , 0.075 , 0.109 , 0.195 , 0.050 , 0.074 , 0.079 , 0.155 , 0.020 , 0.010 , 0.061 , 0.008 ]) values[[ 3 , 14 ]] + = . 8 fig, (ax, ax2) = plt.subplots( 2 , 1 , sharex = True ) ax.plot(values, "o-" , color = "green" ) ax2.plot(values, "o-" , color = "green" ) ax.set_ylim(. 78 , 1. ) ax2.set_ylim( 0 , . 22 ) ax.spines[ 'bottom' ].set_visible( False ) ax2.spines[ 'top' ].set_visible( False ) ax.xaxis.tick_top() ax.tick_params(labeltop = False ) ax2.xaxis.tick_bottom() d = . 005 kwargs = dict (transform = ax.transAxes, color = 'k' , clip_on = False ) ax.plot(( - d, + d), ( - d, + d), * * kwargs) ax.plot(( 1 - d, 1 + d), ( - d, + d), * * kwargs) kwargs.update(transform = ax2.transAxes) ax2.plot(( - d, + d), ( 1 - d, 1 + d), * * kwargs) ax2.plot(( 1 - d, 1 + d), ( 1 - d, 1 + d), * * kwargs) fig.suptitle('matplotlib.axes.Axes.tick_params()\ function Example\n\n', fontweight = "bold" ) plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt def make_patch_spines_invisible(ax): ax.set_frame_on( True ) ax.patch.set_visible( False ) for sp in ax.spines.values(): sp.set_visible( False ) fig, host = plt.subplots() fig.subplots_adjust(right = 0.75 ) par1 = host.twinx() par2 = host.twinx() # Offset the right spine of par2. # The ticks and label have already been # placed on the right by twinx above. par2.spines[ "right" ].set_position(( "axes" , 1.2 )) # Having been created by twinx, par2 # has its frame off, so the line of its # detached spine is invisible. First, # activate the frame but make the patch # and spines invisible. make_patch_spines_invisible(par2) # Second, show the right spine. par2.spines[ "right" ].set_visible( True ) p1, = host.plot([ 0 , 1 , 2 ], [ 0 , 1 , 2 ], "b-" , label = "Y-label 1" ) p2, = par1.plot([ 0 , 1 , 2 ], [ 0 , 30 , 20 ], "r-" , label = "Y-label 2" ) p3, = par2.plot([ 0 , 1 , 2 ], [ 500 , 300 , 150 ], "g-" , label = "Y-label 3" ) host.set_xlim( 0.25 , 1.75 ) host.set_ylim( 0.25 , 1.75 ) par1.set_ylim( 0 , 40 ) par2.set_ylim( 10 , 500 ) host.set_xlabel( "X-label" ) host.set_ylabel( "Y-label 1" ) par1.set_ylabel( "Y-label 2" ) par2.set_ylabel( "Y-label 3" ) host.yaxis.label.set_color(p1.get_color()) par1.yaxis.label.set_color(p2.get_color()) par2.yaxis.label.set_color(p3.get_color()) tkw = dict (size = 4 , width = 1.5 ) host.tick_params(axis = 'y' , colors = p1.get_color(), * * tkw) par1.tick_params(axis = 'y' , colors = p2.get_color(), * * tkw) par2.tick_params(axis = 'y' , colors = p3.get_color(), * * tkw) host.tick_params(axis = 'x' , * * tkw) lines = [p1, p2, p3] host.legend(lines, [l.get_label() for l in lines]) fig.suptitle('matplotlib.axes.Axes.tick_params()\ function Example\n\n', fontweight = "bold" ) plt.show() |
Output: