Numbers clean
Web25 okt. 2024 · The simplest method is to remove all missing values using dropna: print (“Before removing missing values:”, len (df)) df.dropna (inplace= True ) print (“After removing missing values:”, len (df)) Image: Screenshot by the author. We see that the number of records in our data frame decreases from 506 to 394. WebIntroduction¶. The function clean_phone() cleans and standardizes a DataFrame column containing phone numbers. The function validate_phone() validates either a single …
Numbers clean
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