df.loc[3:6,["Col1",Col2']] What will the above code do if we have a valid data frame df with more than 10 rows and 5 columns with Col1 and Co12 being the valid column names? O a.it will slice row numbers 3,4, and 5 and the select all columns data for these rows O b.it will slice row numbers 3,4,5,and 6 and the select all columns data for these rows O it will slice row numbers 3,4, and 5 and the select only Col1 and Col2 data for these rows O d it will slice row numbers 3,4,5,and 6 and the select only Col1 and Col2 data for these rows

df.loc[3:6,["Col1",Col2']] What will the above code do if we have a valid data frame df with more than 10 rows and 5 columns with Col1 and Co12 being the valid column names? O a.it will slice row numbers 3,4, and 5 and the select all columns data for these rows O b.it will slice row numbers 3,4,5,and 6 and the select all columns data for these rows O it will slice row numbers 3,4, and 5 and the select only Col1 and Col2 data for these rows O d it will slice row numbers 3,4,5,and 6 and the select only Col1 and Col2 data for these rows

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

df.loc[3:6,['Col1',Col2']]
What will the above code do if we have a valid data frame df with more than 10 rows and 5 columns with Col1 and Col2 being the valid
column names?
O a. it will slice row numbers 3,4, and 5 and the select all columns data for these rows
O b.it will slice row numbers 3,4,5,and 6 and the select all columns data for these rows
O c it will slice row numbers 3,4, and 5 and the select only Col1 and Col12 data for these rows
O d. it will slice row numbers 3,4,5,and 6 and the select only Col1 and Col2 data for these rows

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