[Solved] SOLVED:Lists & Dictionaries

1 Fish Catch 1.1 Details Download the plain text les shcatch.txt and shcatch.dat from D2L and open them both with gedit or any plain text editor (dont use Notepad). 1 The shcatch.txt le gives an explanation of the data contained in the shcatch.dat le. Read the explanation to understand what is in the shcatch.dat le. For this assignment well only be interested in the name and weight of each sh in the .dat le. Create a new le called shcatch.py. In the le: 1.) Write a function called sh dict from le that takes a single string parameter giving the name of a le to read. i.) In the function make a literal dictionary containing the mapping from the Numeric Species Code to the English sh name. For example, in your literal dictionary the key 1 will map to the value Bream. If your literal dictionary is called fishmap then the following expression would be True: fishmap[1] == Bream Youll use this dictionary in the next step to get the name of each sh. ii.) Next create an empty dictionary and read each sh Species and Weight from the shcatch.dat le into the dictionary, mapping the English name of each sh onto a list containing the weights of all of the sh of that type that were caught. i.e. for each dierent sh name the dictionary will contain a single list of oats. e.g. the dictionary will have one key-value pair for Bream. The key will be Bream and the value will be a list of oats containing the weights of all of the Bream that were caught. Skip any sh that has a missing weight value (i.e. weight is NA). iii.) Return the dictionary that contains the sh names and weights. 2.) In main: i.) Call your function to get a dictionary of sh names and weights. ii.) Print a report showing for each sh the number of sh of that type, the name of the sh, and the mean weight of that sh type in grams. The report should show the sh in alphabetical order. Make it pretty as shown in the following example: # NAME MEAN WT 11 ? 154.8g 34 Bream 626.0g 56 Perch 382.2g 17 Pike 718.7g 20 Roach 152.1g 14 Smelt 11.2g 6 Whitefish 531.0g 3.) Verify that your documentation makes sense and that youve added documentation to each of your functions. 4.) Verify that your program works 5.) Upload your le to the Program 9 dropbox folder on D2L 2 2 Emoticons (50 points) 2.1 Details Download the plain text le twitter emoticons.dat. The le contains actual Twitter data1 about tweets that contained emoticons. Each row in the le represents a single tweet. Each row contains the emoticon text characters, a tweet ID, a user ID, and a timestamp. Here are the rst few lines of the le: D: 5646373703 0049961833 20091112110207 😉 5646377600 0003829631 20091112110222 😉 5646425002 0035714667 20091112110544 🙁 5646427235 0031244602 20091112110554 The rst record is from a tweet containing D: with tweet ID 5646373703, tweeted by user 0049961833 with a timestamp of 20091112110207. The second record is from a tweet containing 😉 with tweet ID 5646377600, tweeted by user 0003829631 with a timestamp of 20091112110222. For this program well only be interested in the emoticon and the user ID. Create a new le called emoticons.py. In the le: 1.) Write a function called load twitter dicts from le that takes three parameters: filename (the name of a twitter data le to read), emoticons to ids (an empty dictionary), and ids to emoticons (an empty dictionary). i.) The function should read the given le and load the two dictionaries with key-value pairs: emoticons to ids will contain the emoticons as keys. Each emoticon will have as its value a list containing the user IDs (strings) from all tweets involving that emoticon. there will be multiple entries in the list for users who tweeted the same emoticon on multiple occasions ids to emoticons will contain the user IDs as keys. Each user ID will have as its value a list containing the emoticons from all tweets authored by that user. there will be multiple entries in the list for emoticons that were used on multiple occasions NOTE: in the .dat le the emoticons and the user IDs are wrapped in double quotes (e.g. ;-). You should remove the wrapping double quotes from around emoticons and IDs before using them as keys and values in your dictionaries. ii.) The function does NOT return anything. 2.) Write a function called nd most common that takes a single dictionary parameter. Assume the keys of the dictionary will be strings (e.g. emoticons) and each value will be a list of strings (e.g. user IDs). i.) The function should nd the key that has the longest list as a value and print out that key and the length of its list. Print in the following format: 1Source: http://www.infochimps.com/datasets/twitter-census-smileys 3 🙂 occurs 871 times ii.) The function returns the key that had the longest list. 3.) In main: i.) Create two empty dictionaries (emoticons to ids and ids to emoticons) ii.) Call your load twitter dicts from file function passing it the le name and the two dictionaries. iii.) Print the number of dierent emoticons found in the data le: Emoticons: 98 iv.) Print the number of dierent user IDs found in the data le: UserIDs: 2878 v.) Next call your find most common function, passing it the emoticons to ids dictionary The result should look like this: 🙂 occurs 871 times Now pop the most common emoticon from the dictionary and again call your find most common function on the emoticons to ids dictionary. Since the 🙂 is gone a dierent emoticon will be the most common. Repeat this process ve times. Your output from all ve function calls should look like this: 🙂 occurs 871 times 😀 occurs 377 times 🙁 occurs 231 times 😉 occurs 219 times 😛 occurs 134 times 4.) Verify that your documentation makes sense and that youve added documentation to each of your functions. 5.) Verify that your program works 6.) Upload your le to the Program 9 dropbox folder on D2L