Matplotlib.axis.Tick.properties() Function
The Tick.properties() function in axis module of matplotlib library is used to get a dictionary of all the properties of the artist.
Syntax: Tick.properties(self)
Parameters: This method does not accepts any parameters.
Return value: This method return dictionary of all the properties of the artist.
Below examples illustrate the matplotlib.axis.Tick.properties() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np import matplotlib.pyplot as plt xx = np.random.rand( 3 , 4 ) fig, ax = plt.subplots() m = ax.pcolor(xx) m.set_zorder( 2 ) w = Tick.properties(ax) print ( "Display first 10 Properties\n" ) for i in list (w)[: 10 ]: print (i, ":" , w[i]) fig.suptitle('matplotlib.axis.Tick.properties() \ function Example', fontweight = "bold" ) plt.show() |
Output:
Display first 10 Properties adjustable : box agg_filter : None alpha : None anchor : C animated : False aspect : auto autoscale_on : True autoscalex_on : True autoscaley_on : True axes_locator : None
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt import numpy as np np.random.seed( 10 * * 7 ) geeks = np.random.randn( 100 ) fig, ax = plt.subplots() ax.acorr(geeks, usevlines = True , normed = True , maxlags = 25 , lw = 3 ) ax.grid( True ) w = Tick.properties(ax) print ( "Display last 10 Properties\n" ) for i in list (w)[ - 10 :]: print (i, ":" , w[i]) fig.suptitle('matplotlib.axis.Tick.properties() \ function Example', fontweight = "bold" ) plt.show() |
Output:
Display last 10 Properties ygridlines : ylabel : ylim : (-0.300605326634452, 1.061933586982593) ymajorticklabels : yminorticklabels : yscale : linear yticklabels : yticklines : yticks : [-0.4 -0.2 0. 0.2 0.4 0.6 0.8 1. 1.2] zorder : 0
Matplotlib.axis.Tick.properties() function in Python
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.