Consider the dataframe df. How would you access the element in the 1st row 3rd column1 pointdf.iloc[2,0]df.iloc[1,3]df.iloc[0,2]
Question
Solution 1
To access the element in the 1st row and 3rd column of the dataframe df, you can use the iloc function. The iloc function allows you to access elements in a dataframe by their integer-based position.
To access the element in the 1st row and 3rd column, you can use the following code:
df.iloc[0, 2] Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv
Similar Questions
Consider the dataframe df. How would you access the element in the 1st row 3rd column1 pointdf.iloc[2,0]df.iloc[1,3]df.iloc[0,2]
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]
onsider the dataframe df. How would you access the element in the 1st row 3rd column
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
Which rows of the DataFrame df will be selected based on the following syntax? df.iloc[22:57]