The standard deviation is another one of the most important tool of a Data Scientist.

With the DataFrame.std() method, you can compute the standard deviation of the entire DataFrame or of a specific column.

Here is the code

# To use dataframes
import pandas as pd

# We create a sample dataframe
df = pd.DataFrame({"col1" : [2, 1, 4, 2, 0]})

# We compute and show the standard deviation of a specific dataframe column
print(df["col1"].std())

# We compute and show the standard deviation of the entire dataframe
print(df.std())

Here you are! You now know how to compute the standard deviation of a DataFrame with Pandas using Python.

More on DataFrames

If you want to know more about DataFrame and Pandas. Check out the other articles I wrote on the topic, just here :

Pandas - The Python You Need

We gathered the only Python essentials that you will probably ever need.

The Python You Need