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: