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Matplotlib.axes.Axes.add_collection() in Python

  • Last Updated : 21 Apr, 2020

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
xvalue = np.random.random([2, 10])
xvalue1 = xvalue[0, :]
xvalue2 = xvalue[1, :]
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.set_xlim([0, 1])
ax.set_ylim([0, 1])
fig.suptitle('matplotlib.axes.Axes.add_collection() \
function Example\n\n', fontweight ="bold")


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")
 function Example\n\n', fontweight ="bold")


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