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.stackplot() Function
The Axes.stackplot() function in axes module of matplotlib library is used to create a stacked area plo.
Syntax: Axes.stackplot(axes, x, *args, labels=(), colors=None, baseline=’zero’, data=None, **kwargs)
Parameters: This method accept the following parameters that are described below:
- x: This parameter is the sequence of x coordinates.
- y: This parameter is the sequence of y coordinates.
- baseline: This parameter is the base line{‘zero’, ‘sym’, ‘wiggle’, ‘weighted_wiggle’}.
- colors: This parameter is the list or tuple of colors.
- label: This parameter is the label to assign to each data series.
Returns: This returns the following:
- list: This returns the list of PolyCollection instances, one for each element in the stacked area plot.
Below examples illustrate the matplotlib.axes.Axes.stackplot() function in matplotlib.axes:
Example-1:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y1 = [1, 1, 2, 3, 5] y2 = [0, 4, 2, 6, 8] y3 = [1, 3, 5, 7, 9] y = np.vstack([y1, y2, y3]) labels = ["Geeks1 ", "Geeks2", "Geeks3"] fig, ax = plt.subplots() ax.stackplot(x, y1, y2, y3, labels = labels) ax.legend(loc ='upper left') ax.set_title('matplotlib.axes.Axes.stackplot Example') plt.show() |
Output:
Example-2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt def GFG(n, m): def neveropen(a): x = 1 / (.1 + np.random.random()) y = 2 * np.random.random() - .5 z = 10 / (.1 + np.random.random()) for i in range(m): w = (i / m - y) * z a[i] += x * np.exp(-w * w) a = np.zeros((m, n)) for i in range(n): for j in range(5): neveropen(a[:, i]) return a test = GFG(3, 100) fig, ax = plt.subplots() ax.stackplot(range(100), test.T, baseline ='wiggle') ax.set_title('matplotlib.axes.Axes.stackplot Example') plt.show() |
