Consider the dataframe df. How would you access the element in the 2nd row and 1st column?1 pointdf.iloc[1,0]df.iloc[2,1]df.iloc[0,1]
Question
Consider the dataframe df. How would you access the element in the 2nd row and 1st column?1 pointdf.iloc[1,0]df.iloc[2,1]df.iloc[0,1]
Solution
The correct way to access the element in the 2nd row and 1st column of a dataframe df in Python using pandas is df.iloc[1,0]. Here's why:
- In Python, indexing starts from 0, so the 2nd row is indexed as 1 and the 1st column is indexed as 0.
- The iloc function is used to access a specific location in the dataframe by integer index.
So, df.iloc[1,0] will give you the element at the 2nd row and 1st column.
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