Informatics Practices
How do you fill all missing values with previous non-missing values?
Python Data Handling
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Answer
To fill all missing values in a pandas DataFrame with the previous non-missing values, we can use the fillna method with the ffill parameter. The syntax is df.fillna(method = 'ffill', inplace = True)
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