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]

Break Down the Problem

1. Identify the elements of the DataFrame: Rows and Columns.
2. Understand the indexing system used in pandas, specifically zero-based indexing.

Relevant Concepts

• In pandas, DataFrames are indexed starting from zero. Thus:
  • The first row is accessed by index 0
  • The second row is accessed by index 1
  • The first column is accessed by index 0
  • The second column is accessed by index 1

Analysis and Detail

To access the element in the 2nd row and 1st column:

• Row: 2nd row corresponds to index 1
• Column: 1st column corresponds to index 0

Thus, the correct syntax in pandas to access this element is df.iloc[1, 0].

Verify and Summarize

The other options provided are:

• df.iloc[2,1]: This accesses the 3rd row and 2nd column, which is incorrect.
• df.iloc[0,1]: This accesses the 1st row and 2nd column, which is also incorrect.

Final Answer

The correct way to access the element in the 2nd row and 1st column is df.iloc[1, 0].