matplotlib.axes.Axes.step() in Python
Last Updated :
13 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.step() Function
The Axes.errorbar() function in axes module of matplotlib library is used to make a step plot..
Syntax:
Axes.step(self, x, y, *args, where='pre', data=None, **kwargs)
Parameters: This method accept the following parameters that are described below:
- x, y: These parameter are the horizontal and vertical coordinates of the data points.
- fmt: This parameter is an optional parameter and it contains the string value.
- data: This parameter is also an optional parameter. And it is the object with labelled data.
- where: This parameter is also an optional parameter. And it is used to define where the steps should be placed. The values are {‘pre’, ‘post’, ‘mid’}. pre is the default value
Returns: This returns the following:
- lines:This returns the list of Line2D objects representing the plotted data.
Below examples illustrate the matplotlib.axes.Axes.step() function in matplotlib.axes:
Example-1:
import numpy as np
import matplotlib.pyplot as plt
x = np.arange( 16 )
y = np.sin(x / 3 )
fig, ax = plt.subplots()
ax.step(x, y + 2 , color = 'green' )
ax.plot(x, y + 2 , 'o--' , color = 'black' , alpha = 0.3 )
ax.set_title( 'matplotlib.axes.Axes.step Example1' )
plt.show()
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Output:
Example-2:
import numpy as np
import matplotlib.pyplot as plt
x = np.arange( 16 )
y = np.sin(x / 3 )
fig, ax = plt.subplots()
ax.step(x, y + 2 , label = 'pre (default)' )
ax.plot(x, y + 2 , 'o--' , color = 'black' , alpha = 0.3 )
ax.step(x, y + 1 , where = 'mid' , label = 'mid' )
ax.plot(x, y + 1 , 'o--' , color = 'black' , alpha = 0.3 )
ax.step(x, y, where = 'post' , label = 'post' )
ax.plot(x, y, 'o--' , color = 'black' , alpha = 0.3 )
ax.grid(axis = 'x' , color = '0.95' )
ax.legend(title = 'Parameter where:' )
ax.set_title( 'matplotlib.axes.Axes.step Example2' )
plt.show()
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Output:
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