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:

Feb 12, 2025 · 1. What is pandas.describe()? Think of pandas.describe() as your data's personal storyteller. It doesn’t just give you numbers; it narrates the story hidden within your dataset.

The meaning of DESCRIBE is to represent or give an account of in words. How to use describe in a sentence.

The pandas.describe function is used to get a descriptive statistics summary of a given dataframe. This includes mean, count, std deviation, percentiles, and min-max values of all the features.

The describe () method in Pandas provides a statistical summary of the dataset; central tendency, dispersion, and shape of the distribution.

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 …

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

Jan 20, 2024 · In pandas, the describe () method on DataFrame and Series allows you to get summary statistics such as the mean, standard deviation, maximum, minimum, and mode for each column. …