A column in your data is missing a value in one row. Which command fills this...

A column in your data is missing a value in one row. Which command fills this missing data point with the value before it?

Select an answer:

df.fillna(method='bfill')
df.fillna(0)
df.fillna(method='linear')
df.fillna(method='ffill')

Expert Solution

Ans: df.fillna(method='ffill')

--> ffill method replaces the missing values with the values before it.

-->If you see the below example, the NaN values are replaced with the values that are present before the missing value in the each column

--> and bfill method replaces the missing values with the values after it

-->If you see below example, the missing values are replaced by the values after it

-->fillna(0) replaces all the missing values with zero

Hope you like it, if you have any doubts please let me know in the comments, thank you.

venereology answered 3 months ago

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