Matplotlib errorbar function draws error margin with datapoints in matplotlib graph. The erorbar() is a function of matplotlib.pyplot.In this article, We will see the implementation of errorbar() with a minimal example stepwise.

## Step wise Implementation of matplotlib errorbar –

Please follow below the steps to implement the above function.

### Step 1:

Firstly, We need to import matplotlib because errorbar() is the part of this function. We also need NumPy package for data point creation.

```
import numpy as np
import matplotlib.pyplot as plt
```

### Step 2:

Secondly, As we know graph needs data points. Here we need NumPy module and create some data points.

```
x_axis = np.arange(1, 4, 0.3)
y_axis = np.exp(-x)
```

Inorder to draw the error bar, We need some value for X-Axis and Y-Axis. That is why We have created x_axis and y_axis NumPy array.

### Step 3:

In this step, We will invoke the errorbar(). But we need a few more parameter which we need to set before calling this function.

```
xerr = 0.2
yerr = 0.3
```

Here we have used a constant value for xerr and yerr. But it may be an array. This array can have different error magnitude for each data points. But as we have given a constant value hence the magnitude will be fixed.

`plt.errorbar(x_axis, y_axis, 0.2, 0.3)`

## Complete code –

In the above section, We have done an example in steps. In this section, we will converge them and provide you with a runnable example of matplotlib errorbar()function.

```
import matplotlib.pyplot as plt
import numpy as np
x_axis = np.arange(1, 4, 0.3)
y_axis = np.exp(-x)
plt.errorbar(x_axis, y_axis, 0.2, 0.3)
plt.title("Demo errorbars")
```

When we execute the above code we get the below output.

Now we have plot the errorbar() function on the above data points.

## Conclusion –

Errorbar has widely used visuals in Data Science. In this article, We have seen the implementation of errorbar() function in python with a real example. I hope this stepwise explanation makes this concept clear to you. Still, If you have any doubt on the errorbar topic, Please comment in the comment box.

**Thanks
Data Science Learner Team**

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