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.

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Preprocessing for Machine Learning in Python

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Anleitung zur Übung

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.

Interaktive Übung

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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())

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