To extract the first three rows and three columns of a dataframe ‘exp’ which of the following is True:exp.iloc[1:4,1:4]exp.iloc[0:2,0:2]exp.iloc[0:3,0:3]exp.iloc[1:3,1:3]
Question
To extract the first three rows and three columns of a dataframe ‘exp’ which of the following is True:exp.iloc[1:4,1:4]exp.iloc[0:2,0:2]exp.iloc[0:3,0:3]exp.iloc[1:3,1:3]
Solution
The correct answer is exp.iloc[0:3,0:3].
Here's why:
In Python, indexing starts from 0. So, to extract the first three rows and columns, we need to start from index 0.
The iloc function in pandas is used for purely integer-location based indexing for selection by position. The range specified in iloc is exclusive of the end point. So, to get the first three items, we need to specify the range as [0:3], which will give us items at index 0, 1, and 2.
Therefore, exp.iloc[0:3,0:3] will give us the first three rows and columns of the dataframe 'exp'.
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