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Basic Python Exercises
- This exercise aims to perform a moderately complicated set of
operations using most of the topics covered over the course.
- For this exercise you will require 5 text files, each containing 2
columns of data: a timestamp and a value.
Exercise
- Build a list containing the 5 filenames of the text files that are
going to be used. (Hint: Can be done by hand or using the
os.listdir(‘dirpath’) function in the os module)
- Add a bogus file name that doesn’t exist to the list (so that we have
to do some error handling)
- Loop over the list and for each file (Remember here that we have a
non existent file in the list and calling open on this will result in
an IOError exception that needs to be dealt with)
- Open the file;
- Loop over each line;
- Split the line up into sections (Hint: The string has a
.split() function that splits the string on whitespace and
gives back a list with each section as an element of the list)
- Convert the second column value into an float
- Keep track of the values for each line and compute an average for
the file.
- Finally, print out a list of file,average-value pairs
