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Pandas First Steps
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Pandas First Steps

Pandas First Steps

1. The Very First Steps
What is pandas? SeriesChallenge: Creating a SeriesDataFrameQuiz: Creating a SeriesQuiz: Creating a DataFrameAdding a New ColumnInserting a New ColumnDeleting a Row/Column Quiz: Matching the FunctionsWorking with ColumnsQuiz: Extracting Columnsiloc BasicsChallenge: Using iloc
2. Reading Files in Pandas
CSV FilesTXT FilesQuiz: Working with FilesQuiz: Accessing the Columns
3. Analyzing the Data
Viewing the DataQuiz: Using HeadQuiz: Head, Tail, and SampleExploring the DatasetColumn Names and Data TypesFinding Null ValuesQuiz: Identifying Null ValuesChallenge: Dropping Null ValuesChallenge: Filling Null ValuesQuiz: Null ValuesDescribing the Datamax() and min()Quiz: Statistical Operationssum() and count()Unique Values

book
Challenge: Using iloc

The DataFrame we are working with:

You can also use negative indexing to access rows in the DataFrame. Negative indexing starts from the end of the DataFrame: index -1 points to the last row, -2 to the second to last, and so on.

To access the seventh row (which refers to Latvia), you can use either index 6 or -1.


              
123456

            
import pandas

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'], 'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'], 'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pandas.DataFrame(countries_data)
# Accessing to the seventh row using negative indexing
print(countries.iloc[-1])
copy

Running the above code will return the row highlighted in the image below:

Uppgift

Swipe to start coding

You are given a DataFrame named audi_cars.

  • Display all the details from the DataFrame for the 'Audi A1' model from the year 2017 and store the result in the audi_A1_2017 variable.

  • Display all the details from the DataFrame for the 'Audi A1' model from the year 2016 and store the result in the audi_A1_2016 variable.

  • Display all the details from the DataFrame for the Audi A3 model and store the result in the audi_A3 variable.

Task Table

Lösning

Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 1. Kapitel 14
toggle bottom row

book
Challenge: Using iloc

The DataFrame we are working with:

You can also use negative indexing to access rows in the DataFrame. Negative indexing starts from the end of the DataFrame: index -1 points to the last row, -2 to the second to last, and so on.

To access the seventh row (which refers to Latvia), you can use either index 6 or -1.


              
123456

            
import pandas

countries_data = {'country' : ['Thailand', 'Philippines', 'Monaco', 'Malta', 'Sweden', 'Paraguay', 'Latvia'], 'continent' : ['Asia', 'Asia', 'Europe', 'Europe', 'Europe', 'South America', 'Europe'], 'capital':['Bangkok', 'Manila', 'Monaco', 'Valletta', 'Stockholm', 'Asuncion', 'Riga']}
countries = pandas.DataFrame(countries_data)
# Accessing to the seventh row using negative indexing
print(countries.iloc[-1])
copy

Running the above code will return the row highlighted in the image below:

Uppgift

Swipe to start coding

You are given a DataFrame named audi_cars.

  • Display all the details from the DataFrame for the 'Audi A1' model from the year 2017 and store the result in the audi_A1_2017 variable.

  • Display all the details from the DataFrame for the 'Audi A1' model from the year 2016 and store the result in the audi_A1_2016 variable.

  • Display all the details from the DataFrame for the Audi A3 model and store the result in the audi_A3 variable.

Task Table

Lösning

Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 1. Kapitel 14
Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Vi beklagar att något gick fel. Vad hände?
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