USE PYTHON: Convert the following CSV file into bigrams: (YOU MUST IMPORT THE CSV FILE) **pandas has a simple pd.read_csv method to do this** Note: feel free to use any import Example output: [('hi', 'brown'), ('my', 'brown'), ('name', 'brown'), ('is', 'brown'), ('Jeff', 'brown'), ('Wow', 'red'), ('I', 'red'), ('am', 'red'), ........('amazing', 'brown')] demo.csv: words class hi my name is Jeff. brown Wow, I am awesome. red I am a professional. red Will you marry me? red How are you today? brown Today, I woke up with a smile on my face. red My day today has been amazing. brown
USE PYTHON: Convert the following CSV file into bigrams: (YOU MUST IMPORT THE CSV FILE) **pandas has a simple pd.read_csv method to do this** Note: feel free to use any import Example output: [('hi', 'brown'), ('my', 'brown'), ('name', 'brown'), ('is', 'brown'), ('Jeff', 'brown'), ('Wow', 'red'), ('I', 'red'), ('am', 'red'), ........('amazing', 'brown')] demo.csv: words class hi my name is Jeff. brown Wow, I am awesome. red I am a professional. red Will you marry me? red How are you today? brown Today, I woke up with a smile on my face. red My day today has been amazing. brown
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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USE PYTHON: Convert the following CSV file into bigrams: (YOU MUST IMPORT THE CSV FILE) **pandas has a simple pd.read_csv method to do this** Note: feel free to use any import
Example output:
[('hi', 'brown'), ('my', 'brown'), ('name', 'brown'), ('is', 'brown'), ('Jeff', 'brown'), ('Wow', 'red'), ('I', 'red'), ('am', 'red'), ........('amazing', 'brown')]
demo.csv:
words | class |
hi my name is Jeff. | brown |
Wow, I am awesome. | red |
I am a professional. | red |
Will you marry me? | red |
How are you today? | brown |
Today, I woke up with a smile on my face. | red |
My day today has been amazing. | brown |
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