Extracting numbers from strings

The length_of_time field in the UFO dataset is a text field that has the number of minutes within the string. Here, you'll extract that number from that text field using regular expressions.

Bu egzersiz

Preprocessing for Machine Learning in Python

kursunun bir parçasıdır

Kursu Görüntüle

Egzersiz talimatları

Search time_string for numbers using an appropriate RegEx pattern.
Use the .apply() method to call the return_minutes() on every row of the length_of_time column.
Print out the .head() of both the length_of_time and minutes columns to compare.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

def return_minutes(time_string):

    # Search for numbers in time_string
    num = re.____(____, ____)
    if num is not None:
        return int(num.group(0))
        
# Apply the extraction to the length_of_time column
ufo["minutes"] = ufo["length_of_time"].____

# Take a look at the head of both of the columns
print(ufo[[____]].head())

Kodu Düzenle ve Çalıştır