In this tutorial, I’ll explain how to compute summary statistics with the Pandas describe method. The tutorial will explain what the describe() method does, how the syntax works, and it will show you step-by-step examples.
The meaning of DESCRIBE is to represent or give an account of in words. How to use describe in a sentence.
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pandas.DataFrame.describe # DataFrame.describe(percentiles=None, include=None, exclude=None) [source] # Generate descriptive statistics. Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values.
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:
This tutorial explains how to use the describe () function in pandas, including several examples.
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 like mean, standard deviation, minimum, maximum and different percentiles.