You can use the DataFrame.std() function to calculate the standard deviation of values in a pandas DataFrame.

You can use the following methods to calculate the standard deviation in practice:

**Method 1: Calculate Standard Deviation of One Column**

df['column_name'].std()

**Method 2: Calculate Standard Deviation of Multiple Columns**

df[['column_name1', 'column_name2']].std()

**Method 3: Calculate Standard Deviation of All Numeric Columns**

df.std()

Note that the **std()** function will automatically ignore any NaN values in the DataFrame when calculating the standard deviation.

The following examples shows how to use each method with the following pandas DataFrame:

import pandas as pd #create DataFrame df = pd.DataFrame({'team': ['A', 'A', 'B', 'B', 'B', 'B', 'C', 'C'], 'points': [25, 12, 15, 14, 19, 23, 25, 29], 'assists': [5, 7, 7, 9, 12, 9, 9, 4], 'rebounds': [11, 8, 10, 6, 6, 5, 9, 12]}) #view DataFrame print(df) team points assists rebounds 0 A 25 5 11 1 A 12 7 8 2 B 15 7 10 3 B 14 9 6 4 B 19 12 6 5 B 23 9 5 6 C 25 9 9 7 C 29 4 12

**Method 1: Calculate Standard Deviation of One Column**

The following code shows how to calculate the standard deviation of one column in the DataFrame:

#calculate standard deviation of 'points' column df['points'].std() 6.158617655657106

The standard deviation turns out to be **6.1586**.

**Method 2: Calculate Standard Deviation of Multiple Columns**

The following code shows how to calculate the standard deviation of multiple columns in the DataFrame:

#calculate standard deviation of 'points' and 'rebounds' columns df[['points', 'rebounds']].std() points 6.158618 rebounds 2.559994 dtype: float64

The standard deviation of the ‘points’ column is **6.1586** and the standard deviation of the ‘rebounds’ column is **2.5599**.

**Method 3: Calculate Standard Deviation of All Numeric Columns**

The following code shows how to calculate the standard deviation of every numeric column in the DataFrame:

#calculate standard deviation of all numeric columns df.std() points 6.158618 assists 2.549510 rebounds 2.559994 dtype: float64

Notice that pandas did not calculate the standard deviation of the ‘team’ column since it was not a numeric column.

**Additional Resources**

The following tutorials explain how to perform other common operations in pandas:

How to Calculate the Mean of Columns in Pandas

How to Calculate the Median of Columns in Pandas

How to Calculate the Max Value of Columns in Pandas