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Introduction to pandas [track]
course content

Course Content

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

Challenge

Let's consolidate knowledge!

Method/AttributeDescription
.head(n)Returns the first n rows
.sample(n)Returns the n random rows
.tail(n)Returns the last n rows
.columnsReturns columns' names

Task

  1. Read the csv file from the following link: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv and save in the df variable.
  2. Print the first 2 rows of the df DataFrame.
  3. Print 1 random row of the df DataFrame.

Task

  1. Read the csv file from the following link: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv and save in the df variable.
  2. Print the first 2 rows of the df DataFrame.
  3. Print 1 random row of the df DataFrame.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 4
toggle bottom row

Challenge

Let's consolidate knowledge!

Method/AttributeDescription
.head(n)Returns the first n rows
.sample(n)Returns the n random rows
.tail(n)Returns the last n rows
.columnsReturns columns' names

Task

  1. Read the csv file from the following link: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv and save in the df variable.
  2. Print the first 2 rows of the df DataFrame.
  3. Print 1 random row of the df DataFrame.

Task

  1. Read the csv file from the following link: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv and save in the df variable.
  2. Print the first 2 rows of the df DataFrame.
  3. Print 1 random row of the df DataFrame.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 4
toggle bottom row

Challenge

Let's consolidate knowledge!

Method/AttributeDescription
.head(n)Returns the first n rows
.sample(n)Returns the n random rows
.tail(n)Returns the last n rows
.columnsReturns columns' names

Task

  1. Read the csv file from the following link: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv and save in the df variable.
  2. Print the first 2 rows of the df DataFrame.
  3. Print 1 random row of the df DataFrame.

Task

  1. Read the csv file from the following link: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv and save in the df variable.
  2. Print the first 2 rows of the df DataFrame.
  3. Print 1 random row of the df DataFrame.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Let's consolidate knowledge!

Method/AttributeDescription
.head(n)Returns the first n rows
.sample(n)Returns the n random rows
.tail(n)Returns the last n rows
.columnsReturns columns' names

Task

  1. Read the csv file from the following link: https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv and save in the df variable.
  2. Print the first 2 rows of the df DataFrame.
  3. Print 1 random row of the df DataFrame.

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 4
Switch to desktop for real-world practiceContinue from where you are using one of the options below
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