Set the random seed to 12 for this assignment. • Use multi-indexing to create the following series: Words Numbers One 1 2 1 2 Three 1 2 dtype: int64 Two 11 111 22 222 33 333

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
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for this assignment, import pandas and numpy.
Set the random seed to 12 for this assignment.
1
Use multi-indexing to create the following series.
Words Numbers
One
1
2
1
2
Three 1
2
dtype: int64
Two
Assign it to Q1.
11
111
22
222
333
Index 01 to obtain the following
Transcribed Image Text:for this assignment, import pandas and numpy. Set the random seed to 12 for this assignment. 1 Use multi-indexing to create the following series. Words Numbers One 1 2 1 2 Three 1 2 dtype: int64 Two Assign it to Q1. 11 111 22 222 333 Index 01 to obtain the following
Expert Solution
Step 1

Algorithm:

  • Import pandas and numpy libraries.
  • Set the random seed to a specific value using the np. random .seed() function.
  • Create a multi-index with two levels using the pd.MultiIndex.from_product() function, with the first level containing the words and the second level containing the numbers.
  • Assign names to the two levels of the multi-index using the name parameter of the from_product() function.
  • Use the np. random.randint() function to generate a set of random integers between 1 and 1000, with the same length as the multi_index.
  • Create a pandas series using the random integer data and the multi_index.
  • Print the resulting series to the console.
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