Often you may be interested in adding **error bars **to charts in Python to capture uncertainty around measurements or calculated values. Fortunately this is easy to do using the matplotlib library.

This tutorial explains how to add error bars to both bar charts and line charts in Python.

**Error Bars in Bar Charts**

Suppose we have the following dataset of 10 values in Python:

import numpy as np import matplotlib.pyplot as plt #define dataset data = [4, 6, 6, 8, 9, 14, 16, 16, 17, 20]

To create a bar chart with error bars for this dataset, we can define the width of the error bars as the **standard error**, which is calculated a

**Standard error = s / √n**

where:

**s:**sample standard deviation**n:**sample size

The following code shows how to calculate the standard error for this example:

#calculate standard error std_error = np.std(data, ddof=1) / np.sqrt(len(data)) #view standard error std_error 1.78

Lastly, we can create the bar chart using error bars that have a width equal to the standard error:

#define chart fig, ax = plt.subplots() #create chart ax.bar(x=np.arange(len(data)), #x-coordinates of bars height=data, #height of bars yerr=std_error, #error bar width capsize=4) #length of error bar caps

The standard error turned out to be **1.78**. This is the width of the error bar that extends in both directions from the point estimates on the graph. For example, the value of the first bar in the chart is 4, thus it has an error bar that extends from:

- Lower end: 4 – 178 =
**2.22** - Upper end: 4 + 1.78 =
**5.78**

Each error bar in the chart is the same width.

**Error Bars in Line Charts**

The following code shows how to create a line chart with error bars for the same dataset:

import numpy as np import matplotlib.pyplot as plt #define data data = [4, 6, 6, 8, 9, 14, 16, 16, 17, 20] #define x and y coordinates x = np.arange(len(data)) y = data #create line chart with error bars fig, ax = plt.subplots() ax.errorbar(x, y, yerr=std_error, capsize=4)

Note that the argument **yerr **tells Python to create vertical error bars. We could instead use horizontal vertical bars by using the **xerr **argument:

#create line chart with horizontal error bars fig, ax = plt.subplots() ax.errorbar(x, y, xerr=std_error, capsize=4)

*You can find more Python tutorials here.*