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Lära Removing Characters: Method 2 | Preprocessing Data: Part I
Analyzing and Visualizing Real-World Data

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Removing Characters: Method 2

As mentioned, there are two ways to remove a character from all column values. The second method uses a lambda function. How does it work? You define a lambda function that removes a certain character/characters from a function variable, and apply it to the selected column. Then you convert obtained values to the necessary type and save them.

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  1. Define a lambda function with a single argument x that will look for and delete any of the characters '$°C%' from both the left and right sides (using the .strip() method). Assign the function to the rm variable.
  2. Apply the rm function to the 'Fuel_Price' column and then convert it to numerical type (float) using the .astype() method. Assign the obtained result to the same column.
  3. Perform the same actions described in the step 2 for the 'Unemployment' column.
  4. Perform the same actions described in the step 2 for the 'Temperature' column.
  5. Display the first row of the df dataframe and data types of the df dataframe.

Lösning

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book
Removing Characters: Method 2

As mentioned, there are two ways to remove a character from all column values. The second method uses a lambda function. How does it work? You define a lambda function that removes a certain character/characters from a function variable, and apply it to the selected column. Then you convert obtained values to the necessary type and save them.

Uppgift

Swipe to start coding

  1. Define a lambda function with a single argument x that will look for and delete any of the characters '$°C%' from both the left and right sides (using the .strip() method). Assign the function to the rm variable.
  2. Apply the rm function to the 'Fuel_Price' column and then convert it to numerical type (float) using the .astype() method. Assign the obtained result to the same column.
  3. Perform the same actions described in the step 2 for the 'Unemployment' column.
  4. Perform the same actions described in the step 2 for the 'Temperature' column.
  5. Display the first row of the df dataframe and data types of the df dataframe.

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 3.45

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