Mastering Pandas DataFrame Quantile Method

Introduction

In this lab, we will explore the DataFrame.quantile() method in Pandas. The DataFrame.quantile() method calculates the values at a given quantile over the specified axis of a DataFrame. We will learn how to use this method and understand its parameters.

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Skills Graph

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Create a DataFrame

First, let's create a DataFrame using the pd.DataFrame() function from the Pandas library. We will create a DataFrame with three columns: 'Age', 'Height', and 'Weight'. This DataFrame will represent a group of individuals and their corresponding attributes. Each column will contain numerical values.

## Import the pandas library
import pandas as pd

## Create the DataFrame
df = pd.DataFrame({'Age': [12, 14, 11, 12], 'Height': [135, 140, 138, 147], 'Weight': [35, 38, 30, 45]})

Calculate the Quantile

Now, let's calculate the quantile of the DataFrame using the DataFrame.quantile() method. The q parameter represents the desired quantile(s) to compute, where 0 <= q <= 1. In this example, we will calculate the quantile at 0.5, which corresponds to the median.

## Calculate the quantile
quantile_50 = df.quantile(0.5)

Print the Result

Finally, let's print the result to see the calculated quantile.

## Print the result
print(quantile_50)

Summary

In this lab, we learned how to use the DataFrame.quantile() method in Pandas to calculate quantiles of a DataFrame. By specifying the desired quantile(s) using the q parameter, we can obtain the corresponding values. This method is useful for analyzing and summarizing numerical data in a DataFrame.

Pandas DataFrame Quantile Method