How to use iloc() function In Python Pandas
Here this function is used to drop the first row by using row index.
Syntax:
df.iloc[row_start:row_end , column_start:column_end]
where,
- row_start specifies first row
- row_end specifies last row
- column_start specifies first column
- column_end specifies last column
We can drop the first row by excluding the first row
Syntax:
data.iloc[1: , :]
Example: Drop the first row
Python3
# import pandas module import pandas as pd # create student dataframe with 3 columns # and 4 rows data = pd.DataFrame({ 'id' : [ 1 , 2 , 3 , 4 ], 'name' : [ 'sai' , 'navya' , 'reema' , 'thanuja' ], 'age' : [ 21 , 22 , 21 , 22 ]}) # drop first row data.iloc[ 1 :, :] |
Output:
How to Drop First Row in Pandas?
In this article, we will discuss how to drop the first row in Pandas Dataframe using Python.
Dataset in use:
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