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How to Remove the First n Rows of a Pandas DataFrame [All Method]️

Are you looking for an easy guide on How to Remove the First n Rows of a Pandas DataFrame. By following this guide, you will be able to deal with these sorts of difficulties.
Question: What is the best solution for this problem? Answer: This blog code can help you solve errors How to Remove the First n Rows of a Pandas DataFrame. Question: What is causing this error and what can be done to fix it? Answer: Check out this blog for a solution to your problem.

How can we remove the first n rows of a Pandas DataFrame?

Remove rows with iloc

We can use iloc to remove the first n rows.

df = df.iloc[n:]

Remove rows with tail

We can also use tail to do the same.

df = df.tail(-n)

Remove rows with drop

Lastly, we can use drop as well.

df.drop(df.index[:n], inplace=True)
# OR
df.drop(df.head(n).index, inplace=True)


Revise the code and make it more robust with proper test case and check an error there before implementing into a production environment.
Final Note: Try to Avoid this type of mistake(error) in future!

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