Error Bar Graph in Python using Matplotlib

Introduction:

In this tutorial, we are learning about Error bar graphs in Python using Matplotlib. Error bars are used as display enhancements to show differences in data plotted on a Cartesian graph. Error bars can be used in graphs to provide additional structure to the data presented, as you can see in the picture below.

Error bars help show the error or uncertainty in the estimate to provide an overview of the accuracy of the measurement. Error bars can be used to visualize this data by using a bar chart to draw a line through the middle or edge of the data set. The picture is below. Shorter error bars indicate greater significance, indicating that the mean of the graph is more likely to occur, while longer error bars indicate that significance is more pronounced and less reliable. It also depends on the hardware. The length of each pair of error bars will be equal on both sides, but if the data is skewed the length of the two sides will be unequal.

Error bars always equal a certain number of scale axis, so if there are two scales and two pairs of arrows, they can appear vertically or horizontally depending on the amount of y-axis or x-axis. For the use of two axis.

Program Code:

Here, we give an example of an Errorbar graph in Python using Matplotlib. Now, we create a simple graph here. The code is given below -

Output:

Now, we compile the above code in Python, and after successful compilation, we run it. The output is given below -

[<matplotlib.lines.Line2D at 0x2989277c790>]

Program Code:

Here, we give an example of an Error bar graph in Python using Matplotlib. Now, we are adding some errors in the b value here. The code is given below -

Output:

Now, we compile the above code in Python, and after successful compilation, we run it. The output is given below -

<ErrorbarContainer object of 3 artists>

Program Code:

Here, we give an example of an Error bar graph in Python using Matplotlib. Now, we are adding some errors in the a-value here. The code is given below -

Output:

Now, we compile the above code in Python, and after successful compilation, we run it. The output is given below -

<ErrorbarContainer object of 3 artists>

Program Code:

Here, we give an example of an Error bar graph in Python using Matplotlib. Now, we add some errors in the a-value and b-value. The code is given below -

Output:

Now, we compile the above code in Python, and after successful compilation, we run it. The output is given below -

<ErrorbarContainer object of 3 artists>

Program Code:

Here, we give an example of an Error bar graph in Python using Matplotlib. Now, we add some variable errors in the a-value and b-value. The code is given below -

Output:

Now, we compile the above code in Python, and after successful compilation, we run it. The output is given below -

<ErrorbarContainer object of 3 artists>

Program Code:

Here, we give an example of an Error bar graph in Python using Matplotlib. Now, we add some variable errors in the a-value and b-value. The code is given below -

Output:

Now, we compile the above code in Python, and after successful compilation, we run it. The output is given below -

<ErrorbarContainer object of 3 artists>

Conclusion:

In this tutorial, we are learning about Error bar graphs in Python using Matplotlib. Error bars help show the error or uncertainty in the estimate to provide an overview of the accuracy of the measurement. Here, we give some program codes and also share the respective outputs.