Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Minimum and Maximum | Aggregate Functions
Introduction to pandas [track]
course content

Contenido del Curso

Introduction to pandas [track]

Introduction to pandas [track]

1. Basics
What is pandas?SeriesIndexes and ValuesChallengeDataFramesIndexes and ColumnsChallenge
2. Reading and Exploring Data
Reading CSV FilesReading XLS/XLSX FilesExploring Data [1/3]ChallengeExploring Data [2/3]Exploring Data [3/3]Challenge
3. Accessing DataFrame Values
Accessing Specific ColumnsChallengeAccessing Specific RowsChallengeAccessing Rows and ColumnsAccessing using .loc[] [1/3]Accessing using .loc[] [2/3]Accessing using .loc[] [3/3]
4. Aggregate Functions
Number of ObservationsUnique ObservationsCounting ValuesChallengeSum and ProductMean and MedianChallengeMinimum and Maximum

bookMinimum and Maximum

You can also get the minimum and maximum values of certain column. To get the minimum apply the .min() method, to get the maximum apply the .max() method. For instance,


              
123456789

            
# Importing library
import pandas as pd

# Reading csv file
df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv')
# Minimal car price with Automatic gear box
print(df.loc[df.transmission == 'Automatic', 'price'].min())
# Maximal mileage of manufactured in 2015 car
print(df.loc[df.year == 2015, 'mileage'].max())
copy

¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 4. Capítulo 8
some-alt