Knowee
Questions
Features
Study Tools

onsider the dataframe df. How would you access the element in the 1st row 3rd column

Question

Consider the dataframe df.

How would you access the element in the 1st row 3rd column?

🧐 Not the exact question you are looking for?Go ask a question

Solution

To access the element in the 1st row and 3rd column of a DataFrame df in Python using the Pandas library, you can use either the .iloc indexer or the .iat indexer. Here’s how you can do it using both methods:

  1. Using .iloc:

    element = df.iloc[0, 2]
    
  2. Using .iat:

    element = df.iat[0, 2]
    

Explanation:

  • The .iloc method is used for integer-location-based indexing, where the first argument is the index of the row and the second argument is the index of the column. Since Python uses zero-based indexing, the first row is indexed as 0 and the third column as 2.
  • The .iat method is similar but is more efficient for accessing a single value at a specific position.

Both methods will give you the same result, which is the value in the 1st row and 3rd column of the DataFrame df.

This problem has been solved

Similar Questions

onsider the dataframe df. How would you access the element in the 1st row 3rd column

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]

Amongst which of the following is / are not correct to access individual item from dataframe 'df'df.iat[2,2]df.loc[2,2]df.at[2,2]df[0,0]

n DataFrame, by default new column added as the _____________ columnFirst (Left Side)SecondLast (Right Side)Any where in dataframe

For getting 3rd, 4th & 6th row of a datafile “df”in Python programming, we can write: df.loc[[2,3,5]]  df.loc[[3,4,5]]  df.iloc[3,4,6]  None of the above

1/1

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.