Function iloc() 2/2
The DataFrame we are working with:
In the DataFrame we're working with, you can also use negative indexing. 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. Let's see how this works in practice.
Running the above code will return the row highlighted in the image below:
It's time to practice!
Tarea
We have a DataFrame called audi_cars
.
- Display all the details from the DataFrame for the
Audi A1
model from the year 2017. To do this, you'll need to use positive indexing. - Display all the details from the DataFrame for the
Audi A1
model from the year 2016 using negative indexing. - Display all the details from the DataFrame for the
Audi A3
model using positive indexing.
Make sure to use the iloc()
function. Give it a try!
¿Todo estuvo claro?
Contenido del Curso
Pandas First Steps
2. Reading Files in Pandas
3. Analyzing the Data
Pandas First Steps
Function iloc() 2/2
The DataFrame we are working with:
In the DataFrame we're working with, you can also use negative indexing. 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. Let's see how this works in practice.
Running the above code will return the row highlighted in the image below:
It's time to practice!
Tarea
We have a DataFrame called audi_cars
.
- Display all the details from the DataFrame for the
Audi A1
model from the year 2017. To do this, you'll need to use positive indexing. - Display all the details from the DataFrame for the
Audi A1
model from the year 2016 using negative indexing. - Display all the details from the DataFrame for the
Audi A3
model using positive indexing.
Make sure to use the iloc()
function. Give it a try!
¿Todo estuvo claro?