Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.
matplotlib.artist.Artist.format_cursor_data() method
The format_cursor_data() method in artist module of matplotlib library is used to get a string representation of data.
Syntax: Artist.remove_callback(self, data)
Parameters: This method accepts the following parameters.
- data: This parameter is the data which is used to be used.
Returns: This method returns the string representation of data.
Below examples illustrate the matplotlib.artist.Artist.format_cursor_data() function in matplotlib:
Example 1:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt from matplotlib.artist import Artist np.random.seed(10**7) neveropenx = np.random.randn(10) fig, ax = plt.subplots() ax.plot(neveropenx) ax.text(1.5, 0.85, "Value return by format_cursor_data():", fontweight ="bold") ax.text(0, 0.7, Artist.format_cursor_data(ax, data = neveropenx)) fig.suptitle('matplotlib.artist.Artist.format_cursor_data()\ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt from matplotlib.artist import Artist neveropenx = np.array([24.40, 110.25, 20.05, 22.00, 61.90, 7.80, 15.00]) fig, ax = plt.subplots() ax.plot(neveropenx, 'go-') ax.text(1, 95, "Value return by format_cursor_data():", fontweight ="bold") ax.text(1.3, 85, Artist.format_cursor_data(ax, data = neveropenx)) fig.suptitle('matplotlib.artist.Artist.format_cursor_data()\ function Example', fontweight ="bold") plt.show() |
Output:
