pandas.DataFrame.describe # DataFrame.describe(percentiles=None, include=None, exclude=None) [source] # Generate descriptive statistics. Descriptive statistics include those that summarize the …

Jul 26, 2025 · The describe () method in Pandas generates descriptive statistics of DataFrame columns which provides key metrics like mean, standard deviation, percentiles and more.

The describe() method returns description of the data in the DataFrame. If the DataFrame contains numerical data, the description contains these information for each column: count - The number of …

Aug 9, 2021 · This tutorial explains how to use the describe () function in pandas, including several examples.

Jan 20, 2024 · To calculate the mean and standard deviation for strings of numbers, first convert them to a numerical data type using the astype() method. This section details the items calculated by …

Dec 2, 2024 · Understanding your data's key metrics is vital for analysis. The describe () method in Pandas provides a quick summary of numerical data in your DataFrame. This guide explains the …

Mar 25, 2025 · Among its many useful features and functions, the describe function (although not a built - in function in the base Python library) is widely used in data analysis libraries like pandas. …

Jun 16, 2025 · The Python pandas function DataFrame.describe() is used to generate a statistical summary of the numerical columns in a DataFrame. This summary includes key statistical metrics …

# use describe() to get the statistical summary of the DataFrame . print(summary) ''' A B. The syntax of the describe() method in Pandas is: The describe() method takes the following arguments: exclude …

Nov 5, 2021 · In this tutorial, you’ll learn how to use the Pandas describe method, which is used to computer summary descriptive statistics for your Pandas Dataframe.