Your goal in this task is to load a set of movie titles stored as one-line text files in a directory, which you can download and unzip with link movies.zip. The name of each text file is the associated ID for that movie title. For example, a directory listing from the command line looks like: $ ls1 122904 1633 22 2918 3671 45447 54796 6708 83810 122906 1639 223 292 368 45499 5481 671 8387100390 122912 164 2231 293 3681 455 54999 6711 84392Create a function called load that takes an argument called dir, which is the path to the directory of files. The function must read all of those files and return a Pandas data frame that associates the ID (filename) with the title. Set the column names as shown below. The ID must be an integer column and the data frame must be sorted by ID as shown. (Here I have unzipped movies.zip in dir /tmp.) You can import pandas and os but that’s it.
Author: Anonymous
QUESTION 3 The diagram shows a packet of Digestive b…
QUESTION 3 The diagram shows a packet of Digestive biscuits wrapped in plastic. 3.1 Work out the total surface area of the plastic. (3)
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Why is the allowance method preferred over the direct write-off method when accounting for bad debts under GAAP?
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Current liabilities on the balance sheet would include all of the following except:
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QUESTION 5 5.1 Write down the first four terms of…
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Non-Stock Dividends:
Non-Stock Dividends:
What keyword allows polymorphic behavior in classes?
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