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_figure() Function
The Tick.set_figure() function in axis module of matplotlib library is used to set the Figure for this Axes.
Syntax: Tick.set_figure(self, fig)
Parameters: This method accepts the following parameters.
- fig: This parameter is the Figure instance..
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.set_figure() 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 import matplotlib.lines as lines import matplotlib.transforms as mtransforms import matplotlib.text as mtext class GFGfun(lines.Line2D): def __init__(self, *args, **kwargs): self.text = mtext.Text(0, 0, '') lines.Line2D.__init__(self, *args, **kwargs) self.text.set_text(self.get_label()) def set_figure(self, figure): self.text.set_figure(figure) lines.Line2D.set_figure(self, figure) def set_axes(self, axes): self.text.set_axes(axes) lines.Line2D.set_axes(self, axes) def set_transform(self, transform): # 2 pixel offset texttrans = transform + mtransforms.Affine2D().translate(2, 2) self.text.set_transform(texttrans) lines.Line2D.set_transform(self, transform) def set_data(self, x, y): if len(x): self.text.set_position((x[-1], y[-1])) lines.Line2D.set_data(self, x, y) def draw(self, renderer): lines.Line2D.draw(self, renderer) self.text.draw(renderer) np.random.seed(10**7) fig, ax = plt.subplots() x, y = np.random.rand(2, 10) line = GFGfun(x, y, mfc ='red', ms = 12, label ='Tick.set_figure()') line.text.set_color('red') line.text.set_fontsize(16) ax.add_line(line) fig.suptitle('matplotlib.axis.Tick.set_figure() \ function Example', 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 import matplotlib.lines as lines import matplotlib.transforms as mtransforms import matplotlib.text as mtext class GFGfun(lines.Line2D): def __init__(self, *args, **kwargs): self.text = mtext.Text(0, 0, '') lines.Line2D.__init__(self, *args, **kwargs) self.text.set_text(self.get_label()) def set_figure(self, figure): self.text.set_figure(figure) lines.Line2D.set_figure(self, figure) np.random.seed(10**7) fig, ax = plt.subplots() x, y = np.random.rand(2, 30) line = GFGfun(x, y, mfc ='red', ms = 12, label ='Tick.set_figure') line.text.set_color('red') line.text.set_fontsize(16) ax.add_line(line) fig.suptitle('matplotlib.axis.Tick.set_figure() \ function Example', fontweight ="bold") plt.show() |
Output:
