Matplotlib.axis.Tick.get_picker() in Python Last Updated : 01 May, 2022 Comments Improve Suggest changes Like Article Like Report 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.get_picker() Function The Tick.get_picker() function in axis module of matplotlib library is used to define the picking behavior of the artist. Syntax: Tick.get_picker(self) Parameters: This method does not accepts any parameter. Return value: This method return the picking behavior of the artist. Below examples illustrate the matplotlib.axis.Tick.get_picker() 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 np.random.seed(19680801) volume = np.random.rayleigh(7, size=40) amount = np.random.poisson(7, size=40) ranking = np.random.normal(size=40) price = np.random.uniform(1, 7, size=40) fig, ax = plt.subplots() scatter = ax.scatter(volume**3, amount**3, c=ranking**3, s=price ** 4, vmin=-3, vmax=3, cmap="Spectral") ax.text(8, 8, "Value return : " + str(Tick.get_picker(ax)), fontweight="bold", fontsize=18) fig.suptitle("""matplotlib.axis.Tick.get_picker() function Example\n""", fontweight="bold") plt.show() Output: Example 2: Python3 # Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np import matplotlib.pyplot as plt X = np.random.rand(10, 200) xs = np.mean(X, axis=1) ys = np.std(X, axis=1) fig = plt.figure() ax = fig.add_subplot(111) line, = ax.plot(xs, ys, 'go-', picker=5) ax.set_picker(True) ax.text(0.48, 0.3, "Value return : " + str(Tick.get_picker(ax)), fontweight="bold", fontsize=18) fig.suptitle("""matplotlib.axis.Tick.get_picker() function Example\n""", fontweight="bold") plt.show() Output: Comment More infoAdvertise with us Next Article Matplotlib.axis.Tick.get_picker() in Python S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Matplotlib-Axis Class Practice Tags : python Similar Reads Matplotlib.axis.Tick.set_picker() 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. Matplotlib.axis.Tick.set_picker() Function The Tick.set_picker() function in ax 2 min read Matplotlib.axis.Tick.pickable() 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. Matplotlib.axis.Tick.pickable() Function The Tick.pickable() function in axis m 2 min read Matplotlib.axis.Tick.get_clip_path() in Python Matplotlib is a library in Python and it is a 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.get_clip_path() Function The Tick.get_clip_path() functi 2 min read Matplotlib.axis.Tick.get_label() 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. matplotlib.axis.Tick.get_label() Function The Tick.get_label() function in axis 2 min read Matplotlib.axis.Tick.get_clip_on() in Python Matplotlib is a library in Python and it is a 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.get_clip_on() Function The Tick.get_clip_on() function i 2 min read Matplotlib.axis.Tick.get_figure() 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. matplotlib.axis.Tick.get_figure() Function The Tick.get_figure() function in ax 2 min read Matplotlib.axis.Tick.get_sketch_params() 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. matplotlib.axis.Tick.get_sketch_params() Function The Tick.get_sketch_params() 2 min read Matplotlib.axes.Axes.tick_params() in Python 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. 3 min read Matplotlib.axis.Tick.get_visible() 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. matplotlib.axis.Tick.get_visible() Function The Tick.get_visible() function in 2 min read Matplotlib.axis.Tick.get_contains() 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 is used for working with the broader SciPy stack. matplotlib.axis.Tick.get_contains() Function The Tick.get_contains() functio 2 min read Like