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: