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_collection() Function
The Axes.add_collection() function in axes module of matplotlib library is used to add a Collection to the axes’ collections; return the collection.
Syntax: Axes.add_collection(self, collection, autolim=True)
Parameters: This method accepts the following parameters.
- collection: This parameter is the collection which is produced by collection() function .
Return value: This method returns the collection.
Below examples illustrate the matplotlib.axes.Axes.add_collection()
function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt
from matplotlib.collections import EventCollection
import numpy as np
np.random.seed( 19680801 )
xvalue = np.random.random([ 2 , 10 ])
xvalue1 = xvalue[ 0 , :]
xvalue2 = xvalue[ 1 , :]
xvalue1.sort() xvalue2.sort() yvalue1 = xvalue1 * * 4
yvalue2 = 1 - xvalue2 * * 6
fig = plt.figure()
ax = fig.add_subplot( 1 , 1 , 1 )
ax.plot(xvalue1, yvalue1, color = 'tab:blue' )
ax.plot(xvalue2, yvalue2, color = 'tab:green' )
xresult1 = EventCollection(xvalue1, color = 'tab:blue' )
xresult2 = EventCollection(xvalue2, color = 'tab:green' )
yresult1 = EventCollection(yvalue1, color = 'tab:blue' ,
orientation = 'vertical' )
yresult2 = EventCollection(yvalue2, color = 'tab:green' ,
orientation = 'vertical' )
ax.add_collection(xresult1) ax.add_collection(xresult2) ax.add_collection(yresult1) ax.add_collection(yresult2) ax.set_xlim([ 0 , 1 ])
ax.set_ylim([ 0 , 1 ])
fig.suptitle('matplotlib.axes.Axes.add_collection() \ function Example\n\n', fontweight = "bold" )
plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib import colors as mcolors
import numpy as np
N = 50
x = np.arange(N)
ys = [i / (x + 1 ) for i in x]
fig, ax = plt.subplots()
ax.set_xlim( 0 , 20 )
ax.set_ylim( 0 , 20 )
line_segments = LineCollection([np.column_stack([x, y]) for y in ys],
linewidths = ( 0.5 , 1 , 1.5 , 2 ),
linestyles = 'dashed' ,
color = "# eeffdd" )
line_segments.set_array(x * * 2 )
ax.add_collection(line_segments) fig.suptitle('matplotlib.axes.Axes.add_collection()\ function Example\n\n', fontweight = "bold" )
plt.show() |
Output: