Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.Lära Managing an Incorrect Column | Preprocessing Data
Advanced Techniques in pandas

Svep för att visa menyn

book
Managing an Incorrect Column

So, you received the result object. This means that the type of the column is non-numerical, but to calculate necessary values, the column need to be numerical. Let's change that.

  1. Firstly, we need to replace - with .. To do so, you will apply the method .str.replace() to replace the character in the string in the dataset column. The syntax is
    data['column_name'].str.replace('old_symbol','new_symbol')
    In our case, old_symbol is -, and . is the new_symbol;
  2. Then, convert the column to the float data type. To do so, use .astype() method. The syntax is data['column_name'].astype('type').
    In our case, the type is 'float'.
Uppgift

Swipe to start coding

Your task is to:

  1. Follow the algorithm above and firstly replace - with . in the column 'Fare'.
  2. Convert the column 'Fare' to the 'float' data type.
  3. Output the type of the column 'Fare'.

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 5. Kapitel 8
single

single

Fråga AI

expand

Fråga AI

ChatGPT

Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal

close

Awesome!

Completion rate improved to 3.03

book
Managing an Incorrect Column

So, you received the result object. This means that the type of the column is non-numerical, but to calculate necessary values, the column need to be numerical. Let's change that.

  1. Firstly, we need to replace - with .. To do so, you will apply the method .str.replace() to replace the character in the string in the dataset column. The syntax is
    data['column_name'].str.replace('old_symbol','new_symbol')
    In our case, old_symbol is -, and . is the new_symbol;
  2. Then, convert the column to the float data type. To do so, use .astype() method. The syntax is data['column_name'].astype('type').
    In our case, the type is 'float'.
Uppgift

Swipe to start coding

Your task is to:

  1. Follow the algorithm above and firstly replace - with . in the column 'Fare'.
  2. Convert the column 'Fare' to the 'float' data type.
  3. Output the type of the column 'Fare'.

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!

close

Awesome!

Completion rate improved to 3.03

Svep för att visa menyn

some-alt