Write a program to read the page: https://www.imdb.com/chart/top. Extract the following information from each movie.
Write a program to read the page: https://www.imdb.com/chart/top. Extract the following information from each movie.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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![Write a program to read the page: https://www.imdb.com/chart/top. Extract the following
information from each movie.
<tr>
►<td class="posterColumn">...</td>
▼<td class="titleColumn"> id
"1. "
<a href="/title/tt0111161/?pf_rd_m=A2FGELUUNOQJNL&pf_rd_p=1a264172
-ae11-42e4-8ef7...MRSGF6ZQ7NCVC9V&pf_rd_s=center-1&pf_rd_t=15506&pf_
rd_i=top&ref_=chttp_tt_1″ title="Frank Darabont (dir.), Tim Robbin
s, Morgan Freeman" The Shawshank Redemption</a>
<span class="secondaryInfo">(1994)</span>
</td>
▼<td class="ratingColumn imdbRating">
<strong title="9.2 based on 2,637,133 user ratings" 9.24/strong>
</td>
►<td class="ratingColumn">...</td>
►<td class="watchlistColumn">...</td> user
</tr>
year
name
rating
Create a DataFrame called q3df to store the complete data. There should be 250 movies.
In four separate cells, execute the following codes one by one and show the outputs.
q3df.shape
q3df.head()
q3df [100:106]
q3df.tail()
In your output, values in the rating and user columns may look different from the example as
they update overtime.
Requirement: use only regular expressions for data extraction (do not use BeautifulSoup 4).
NOTE: CANNOT USE BEAUTIFUL SOUP!](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F816f0437-4048-42d6-ae1c-8f5331b2f654%2F312f22b8-0d7b-4dfb-aca2-18607a169b8b%2Fhsx6pvc_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Write a program to read the page: https://www.imdb.com/chart/top. Extract the following
information from each movie.
<tr>
►<td class="posterColumn">...</td>
▼<td class="titleColumn"> id
"1. "
<a href="/title/tt0111161/?pf_rd_m=A2FGELUUNOQJNL&pf_rd_p=1a264172
-ae11-42e4-8ef7...MRSGF6ZQ7NCVC9V&pf_rd_s=center-1&pf_rd_t=15506&pf_
rd_i=top&ref_=chttp_tt_1″ title="Frank Darabont (dir.), Tim Robbin
s, Morgan Freeman" The Shawshank Redemption</a>
<span class="secondaryInfo">(1994)</span>
</td>
▼<td class="ratingColumn imdbRating">
<strong title="9.2 based on 2,637,133 user ratings" 9.24/strong>
</td>
►<td class="ratingColumn">...</td>
►<td class="watchlistColumn">...</td> user
</tr>
year
name
rating
Create a DataFrame called q3df to store the complete data. There should be 250 movies.
In four separate cells, execute the following codes one by one and show the outputs.
q3df.shape
q3df.head()
q3df [100:106]
q3df.tail()
In your output, values in the rating and user columns may look different from the example as
they update overtime.
Requirement: use only regular expressions for data extraction (do not use BeautifulSoup 4).
NOTE: CANNOT USE BEAUTIFUL SOUP!
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