Difference between revisions of "CSC111 Homework 11 2015b"

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:However, if some characters in the file are not valid characters (for example double-quotes created in TextEdit or NotePad are not regular ASCII character and could resolve in the program crashing on a "Non-Ascii" exception.
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:However, if some characters in the file are not valid characters (for example double-quotes created in TextEdit or NotePad are not regular ASCII character and could resolve in the program crashing on a "Non-Ascii" exception.)
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* An alternative is to use this method (presented in Zelle):
 
* An alternative is to use this method (presented in Zelle):
 
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Latest revision as of 17:53, 22 November 2015

--D. Thiebaut (talk) 08:24, 18 November 2015 (EST)




This assignment is due the week after Thanksgiving, on Thursday 12/4/15, at 11:55 p.m.


The CSV file generated during the lab has been removed from the shared Google file, and is now available here.


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Assignment


Your assignment is to write a Python program that will read the contents of the shared CSV file containing all the map elements contributed by the whole CSC111 class, and create a map of Smith College where buildings are color coded by their year of construction.

Building Construction Dates


  • The file containing the dates each building was erected can be found here.


Requirements


  • Your program should be well documented, with a header with the names of the pair partners, and a description of what the program does.
  • Functions and classes should be documented as well.
  • Your program should display buildings only once (no overlay allowed).
  • Your program should display at least one other map element that is not a building.
  • The buildings should be color-coded according to their year of construction.
  • Creativity and originality will be taken into account when grading.


Moodle Submission


  • Submit a copy of your program to Moodle, in the HW 11 Program section.
  • Submit a screen shot of your map to Moodle, in the HW 11 Map section.


Hints and Recommendations


reading the CSV file

  • You have several options for reading a file. The option we have used most often in class is this one:


file = open( "someName.ext", "r" )
lines = file.readlines()
file.close()


However, if some characters in the file are not valid characters (for example double-quotes created in TextEdit or NotePad are not regular ASCII character and could resolve in the program crashing on a "Non-Ascii" exception.)


  • An alternative is to use this method (presented in Zelle):


file = open( "someName.ext", "r" )

for line in file:
    print( line ) # or some processing of your choice.
This way, if a line contains an invalid character, you can treat the exception with a try/except clause.

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