Error bars in Matplotlib

Various plots of matplotlib such as bar charts, line plots can use error bars. Error bars are used for showing the precision in measurements or calculated values. Without Error Bars, the plot created using matplotlib from a set of values looks to be of high precision or high confidence.

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 parameters are the horizontal and vertical coordinates of the data points.
• 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.

Python provides us with a variety of libraries where Matplotlib is one of them. It is used for data visualization purposes. In this article, we will be setting different error bar colors in the bar plot in Matplotlib.