The correct answer is: A. A DataFrame is like a fixed-size dict in that you can get and set values by index label.
A DataFrame is a two-dimensional data structure with columns and rows. It is similar to a table in a spreadsheet. A Series is a one-dimensional data structure with values and labels. It is similar to a column in a spreadsheet.
You can get and set values in a DataFrame by index label. For example, to get the value in the first row and second column of a DataFrame, you would use the following code:
df.iloc[0, 1]
To set the value in the first row and second column of a DataFrame, you would use the following code:
df.iloc[0, 1] = 10
However, you cannot get or set values in a Series by index label. For example, the following code will raise an error:
s.iloc[0, 1]
The correct way to get or set values in a Series is by using the index or the name of the column. For example, to get the value in the first row and second column of a Series, you would use the following code:
s[1]
To set the value in the first row and second column of a Series, you would use the following code:
s[1] = 10
Therefore, the statement “A DataFrame is like a fixed-size dict in that you can get and set values by index label” is incorrect.