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.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) neveropen = np.random.randn(100) fig, ax = plt.subplots() ax.acorr(neveropen, 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
