6.6. Loop patterns¶
Often we use a for
or while
loop to go through
a list of items or the contents of a file and we are looking for
something such as the largest or smallest value of the data we scan
through.
These loops are generally constructed by:
Initializing one or more variables before the loop starts
Performing some computation on each item in the loop body, possibly changing the variables in the body of the loop
Looking at the resulting variables when the loop completes
We will use a list of numbers to demonstrate the concepts and construction of these loop patterns.
6.6.1. Counting and summing loops¶
For example, to count the number of items in a list, we would write the
following for
loop:
We set the variable count
to zero before the loop starts,
then we write a for
loop to run through the list of
numbers. Our iteration variable is named
itervar
and while we do not use itervar
in the
loop, it does control the loop and cause the loop body to be executed
once for each of the values in the list.
- itervar
- Correct! itervar is the iteration variable.
- count
- Incorrect! count is just a variable counting the iterations. Try again.
- [3, 41, 12, 9, 74, 15]
- Incorrect! This is a list. The program is counting the number of values it contains, but it is not the iteration variable. Try again.
- list
- Incorrect! This loop iterates through a list, but that is not the iteration variable. Try again.
Q-2: Which variable is the iteration variable in the code block?
count = 0
for itervar in [3, 41, 12, 9, 74, 15]:
count = count + 1
print('Count: ', count)
In the body of the loop, we add 1 to the current value of
count
for each of the values in the list. While the loop is
executing, the value of count
is the number of values we
have seen “so far”.
Once the loop completes, the value of count
is the total
number of items. The total number “falls in our lap” at the end of the
loop. We construct the loop so that we have what we want when the loop
finishes.
Another similar loop that computes the total of a set of numbers is as follows:
In this loop we do use the iteration variable.
Instead of simply adding one to the count
as in the
previous loop, we add the actual number (3, 41, 12, etc.) to the running
total during each loop iteration. If you think about the variable
total
, it contains the “running total of the values so
far”. So before the loop starts total
is zero because we
have not yet seen any values, during the loop total
is the
running total, and at the end of the loop total
is the
overall total of all the values in the list.
As the loop executes, total
accumulates the sum of the
elements; a variable used this way is sometimes called an
accumulator.
Neither the counting loop nor the summing loop are particularly useful
in practice because there are built-in functions len()
and
sum()
that compute the number of items in a list and the
total of the items in the list respectively.
6.6.2. Maximum and minimum loops¶
To find the largest value in a list or sequence, we construct the following loop:
When the program executes, the output is as follows:
Before: None
Loop: 3 3
Loop: 41 41
Loop: 12 41
Loop: 9 41
Loop: 74 74
Loop: 15 74
Largest: 74
The variable largest
is best thought of as “the largest
value we have seen so far.” Before the loop, we set largest
to the constant None
. None
is a special
constant value which we can store in a variable to mark the variable as
“empty”.
- It is a constant value.
- Incorrect! None is a constant value. Try again.
- It is a variable.
- Correct! None is a constant value that can be assigned to a variable, not a variable itself.
- It marks a variable as empty.
- Incorrect! None marks a variable as empty. Try again.
- The value of a variable that starts off as ``None`` can change.
- Incorrect! The value of None only means that the variable is empty. The variable can then be updated or reassigned. Try again.
Q-6: Which of the following is not true about None
?
Before the loop starts, the largest value we have seen so far is
None
since we have not yet seen any values. While the loop
is executing, if largest
is None
then we take
the first value we see as the largest so far. You can see in the first
iteration when the value of itervar
is 3, since
largest
is None
, we immediately set
largest
to be 3.
After the first iteration, largest
is no longer
None
, so the second part of the compound logical expression
that checks itervar > largest
triggers only when we see a
value that is larger than the “largest so far”. When we see a new “even
larger” value we take that new value for largest
. You can
see in the program output that largest
progresses from 3 to
41 to 74.
At the end of the loop, we have scanned all of the values and the
variable largest
now does contain the largest value in the
list.
To compute the smallest number, the code is very similar with one small change:
Again, smallest
is the “smallest so far” before, during,
and after the loop executes. When the loop has completed,
smallest
contains the minimum value in the list.
Again as in counting and summing, the built-in functions
max()
and min()
make writing these exact loops
unnecessary.
The following is a simple version of the Python built-in
min()
function:
In the function version of the “smallest” code, we removed all of the
print
statements so as to be equivalent to the
min
function which is already built in to Python.