Syntax: matplotlib.pyplot.errorbar(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.

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

# example data
xval = np.arange(0.1, 4, 0.5)
yval = np.exp(-xval)

plt.errorbar(xval, yval, xerr = 0.4, yerr = 0.5)

plt.title('matplotlib.pyplot.errorbar() function Example')
plt.show()

# Implementation of matplotlib function
import numpy as np
import 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] * 5
lowerlimits = [False, True] * 5
plt.errorbar(x, y, yerr = yerr,
             uplims = upperlimits, 
             lolims = lowerlimits,
             label ='Line4')
 
plt.legend(loc ='upper left')

plt.title('matplotlib.pyplot.errorbar()\
function Example')
plt.show()