Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.
matplotlib.figure.Figure.set_constrained_layout_pads() method
The set_constrained_layout_pads() method figure module of matplotlib library is used to set padding for constrained_layout.
Syntax: set_constrained_layout_pads(self, **kwargs)
Parameters: This method accept the following parameters that are discussed below:
- w_pad : This parameter is the Width padding in inches.
- h_pad : This parameter is the height padding in inches.
- wspace : This parameter is the Width padding between subplots, expressed as a fraction of the subplot width.
- hspace : This parameter is the height padding between subplots, expressed as a fraction of the subplot width.
Returns: This method does not returns any value.
Below examples illustrate the matplotlib.figure.Figure.set_constrained_layout_pads() function in matplotlib.figure:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt from matplotlib.lines import Line2D import numpy as np from numpy.random import rand fig, ax2 = plt.subplots() ax2.bar(range(10), rand(10), picker = True) for label in ax2.get_xticklabels(): label.set_picker(True) def onpick1(event): if isinstance(event.artist, Line2D): thisline = event.artist xdata = thisline.get_xdata() ydata = thisline.get_ydata() ind = event.ind print('onpick1 line:', np.column_stack([xdata[ind], ydata[ind]])) elif isinstance(event.artist, Rectangle): patch = event.artist print('onpick1 patch:', patch.get_path()) elif isinstance(event.artist, Text): text = event.artist print('onpick1 text:', text.get_text()) fig.set_constrained_layout_pads(w_pad = 4./72., h_pad = 4./72., hspace = 0., wspace = 0.) fig.suptitle("""matplotlib.figure.Figure.set_constrained_layout_pads() function Example\n\n""", fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Ellipse NUM = 200 ells = [Ellipse(xy = np.random.rand(2) * 10, width = np.random.rand(), height = np.random.rand(), angle = np.random.rand() * 360) for i in range(NUM)] fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'}) for e in ells: ax.add_artist(e) e.set_clip_box(ax.bbox) e.set_alpha(np.random.rand()) e.set_facecolor(np.random.rand(4)) ax.set_xlim(3, 7) ax.set_ylim(3, 7) fig.set_constrained_layout_pads(w_pad = 2./72., h_pad = 2./72., hspace = 0., wspace = 0.) fig.suptitle("""matplotlib.figure.Figure.set_constrained_layout_pads() function Example\n\n""", fontweight ="bold") plt.show() |
Output:
