Knowee
Questions
Features
Study Tools

Which rows of the DataFrame df will be selected based on the following syntax? df.iloc[22:57]

Question

Which rows of the DataFrame df will be selected based on the following syntax?

df.iloc[22:57]
🧐 Not the exact question you are looking for?Go ask a question

Solution

The syntax df.iloc[22:57] is used to select rows from a DataFrame in pandas, a data manipulation and analysis library in Python.

Here's a step-by-step explanation:

  1. df: This is your DataFrame. A DataFrame is a two-dimensional labeled data structure with columns potentially of different types. You can think of it like a spreadsheet or SQL table, or a dictionary of Series objects.

  2. iloc: This is a pandas DataFrame function used for purely integer-location based indexing for selection by position.

  3. [22:57]: These are the indices of the rows you want to select from the DataFrame. In Python, indexing is zero-based, so the first row is at index 0.

So, df.iloc[22:57] will select rows 22 to 56 of the DataFrame df. Note that the range specified is inclusive of the start index and exclusive of the end index, so it will include row 22 but not row 57.

This problem has been solved

Similar Questions

How can you select a column in a Pandas DataFrame?Using the loc[] methodUsing the iloc[] methodUsing the column nameAll of the above

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]

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 of the following statements are true regarding the df.loc method but not for df.iloc?

Problem statementSend feedbackWhich of the following commands can be used to select a subset of columns in a dataset using the pandas library?

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.