Matplotlib.axes.Axes.errorbar() in Python - GeeksforGeeks

12 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.
Example:
# Implementation of matplotlib function      import matplotlib.pyplot as pltimport numpy as np    # make an agg figurefig, ax = plt.subplots()  ax.plot([1, 2, 3])ax.set_title('matplotlib.axes.Axes.plot() example 1')fig.canvas.draw()  plt.show()
Output:
The Axes.errorbar() function in axes module of matplotlib library is used to plot y versus x as lines and/or markers with attached errorbars.
Syntax: Axes.errorbar(self, x, y, yerr=None, xerr=None, fmt=”, ecolor=None, elinewidth=None, capsize=None, barsabove=False, lolims=False, uplims=False, xlolims=False, xuplims=False, errorevery=1, capthick=None, *, 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.
xerr, yerr: These parameter contains an array.And the error array should have positive values.
ecolor: This parameter is an optional parameter. And it is the color of the errorbar lines with default value NONE.
elinewidth: This parameter is also an optional parameter. And it is the linewidth of the errorbar lines with default value NONE.
capsize: This parameter is also an optional parameter. And it is the length of the error bar caps in points with default value NONE.
barsabove: This parameter is also an optional parameter. It contains boolean value True for plotting errorsbars above the plot symbols.Its default value is False.
lolims, uplims, xlolims, xuplims: These parameter are also an optional parameter. They contain boolean values which is used to indicate that a value gives only upper/lower limits.
errorevery: This parameter is also an optional parameter. They contain integer values which is used to draws error bars on a subset of the data.
Returns: This returns the container and it is comprises of the following:
plotline:This returns the Line2D instance of x, y plot markers and/or line.
caplines:This returns the tuple of Line2D instances of the error bar caps.
barlinecols:This returns the tuple of LineCollection with the horizontal and vertical error ranges.
Below examples illustrate the matplotlib.axes.Axes.errorbar() function in matplotlib.axes:
Example #1:
# Implementation of matplotlib function      import numpy as npimport matplotlib.pyplot as plt  # example dataxval = np.arange(0.1, 4, 0.5)yval = np.exp(-xval)  fig, ax = plt.subplots()ax.errorbar(xval, yval, xerr = 0.4, yerr = 0.5)plt.show()
Output:
Example #2:
# Implementation of matplotlib function      import numpy as npimport matplotlib.pyplot as plt    fig = plt.figure()x = np.arange(10)y = 3 * np.sin(x / 20 * np.pi)yerr = np.linspace(0.05, 0.2, 10)  plt.errorbar(x, y + 7, yerr = yerr,              label ='Line1')  plt.errorbar(x, y + 5, yerr = yerr,             uplims = True, label ='Line2')  plt.errorbar(x, y + 3, yerr = yerr,              uplims = True, lolims = True,             label ='Line3')  upperlimits = [True, False] * 5lowerlimits = [False, True] * 5  plt.errorbar(x, y, yerr = yerr,              uplims = upperlimits,              lolims = lowerlimits,             label ='Line4')  plt.legend(loc ='upper left')plt.show()
Output:
Python-matplotlib
Python
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