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.
matplotlib.axes.Axes.add_line() Function
The Axes.add_line() function in axes module of matplotlib library is used to add a Line2D to the axes’ lines; return the line.
Syntax: Axes.add_line(self, line)
Parameters: This method accepts the following parameters.
- line: This parameter is the Line2D.
Return value: This method returns the line.
Below examples illustrate the matplotlib.axes.Axes.add_line() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function 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, 20) line = GFGfun(x, y, mfc ='green', ms = 12, label ='Label') line.text.set_color('green') line.text.set_fontsize(16) ax.add_line(line) fig.suptitle('matplotlib.axes.Axes.add_line()\ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import random import matplotlib.lines as lines import matplotlib.patches as patches import matplotlib.text as text import matplotlib.collections as collections from basic_units import cm, inch import numpy as np import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.xaxis.set_units(cm) ax.yaxis.set_units(cm) # Fixing random state for reproducibility np.random.seed(19680801) if 0: # test a line collection # Not supported at present. verts = [] for i in range(10): # a random line segment in inches verts.append(zip(*inch * 10 * np.random.rand(2, random.randint(2, 15)))) lc = collections.LineCollection(verts, axes = ax) ax.add_collection(lc) # test a plain-ol-line line = lines.Line2D([0 * cm, 1.5 * cm], [0 * cm, 2.5 * cm], lw = 2, color ='green', axes = ax, alpha = 0.7) ax.add_line(line) ax.grid(True) fig.suptitle('matplotlib.axes.Axes.add_line() \ function Example\n\n', fontweight ="bold") plt.show() |
Output:
