Flow Control in Python

Based on materials by Milad Fatenejad and Katy Huff

Pasting into IPython

This part of the lesson includes a lot of text, but it will be useful to run it yourself in IPython.

To paste text from another application (i.e. these lecture notes) into IPython :

select text from the wiki
copy with ctrl+c
in IPython, type %paste

The code should paste and execute in IPython.

If you also type %autocall to turn autocall OFF, you may be able to paste with ctrl+v though this won't work with all IPython builds.

Conditionals

A conditional (if statement) is some statement that in general says : "When some boolean is true, do the following. Elsewise, do this other thing."

Many equivalence test statements exist in Python that are similar in other languages:

python i=1 j=2 i==j # i is equal to j : FALSE i<j # i is less than j i<=j # i is less than or equal to j : TRUE i>j # i is greater than j i>=j # i is greater than or equal to j : FALSE i!=j # i is not equal to j : TRUE

However, python has other equivalence test statements that are fairly unique to python. To check whether an object is contained in a list :

python beatle="John" beatles=["George", "Ringo","John", "Paul"] print beatle in beatles # is John one of the beatles? : TRUE print "Katy" not in beatles # this is also TRUE.

The is keyword tests if two variables refer to the same object. For example:

python a = 1234 b = 1234 a == b # True, they have the same value a is b # False, are different objects

It is a common mistake to use is to test for equality between two objects, see the code below. This only works for a small range of integers and strings in CPython, and is a side effect of the implementation that should not be relied upon.

python a = 1 b = 1 a is b # True - special case for 1

A correct use of is would be to compare objects like lists, for example the same list could be inserted into two different dictionaries. A comparison with is would reveal this:

python number_list = [1,2,4,8] dict1 = {"thing_widths":number_list} dict2 = {"item_costs":number_list} dict1["thing_widths"] is dict2["item_costs"] # True - this is the same list

Note that since the two dictionary values are actually the same object, modifying the list in one of the dictionaries will mean that the values in both dictionaries will change:

python print dict1, dict2 dict1["thing_widths"][0] = 222 print dict1, dict2

Conditionals (if statements) are also really easy to use in python. Take a look at the following example:

python i = 4 sign = "zero" if i < 0: sign = "negative" elif i > 0: sign = "positive" else: print "Sign must be zero" print "Have a nice day" print sign

The behavior of this code snippet should be pretty clear, but there is something peculiar. How does Python know where the if-statement ends? Other languages, like FORTRAN, MatLab, and C/C++ all have some way of delimiting blocks of code. For example, in MatLab you begin an if statement with the word if and you end it with end if. In C/C++ you delimit blocks with curly braces. Python uses indentation to delimit code blocks. The indentation above is NOT just to make things look pretty - it tells Python what the body of the if-statement is. This is true when ever we create any code blocks, such as the bodies of loops, functions or classes.

Aside: Compact if-statement:

Python has an easy to use if-syntax for setting the value of a variable. Try entering this into IPython:

python i = 5 sign = "positive" if i > 0 else "negative"

While Loops

Lets start by looking at while loops since they function like while loops in many other languages. The example below takes a list of integers and computes the product of each number in the list up to the -1 element.

A while loop will repeat the instructions within itself until the conditional that defines it is no longer true.

```python mult = 1 sequence = [1, 5, 7, 9, 3, -1, 5, 3] while sequence[0] != -1: mult = mult * sequence[0] del sequence[0]

print mult ```

Some new syntax has been introduced in this example.

On line 4, we compute the product of the elements just to make this more interesting.
On line 5, we use the del keyword to remove the first element of the list, shifting every element down one.

Watch Out

Since a while loop will continue until its conditional is no longer true, a poorly formed while loop might repeat forever. For example :

python i=1 print "Well, there's egg and bacon, egg and spam, egg bacon and" while i == 1: print "spam " print "or Lobster Thermidor a Crevette with a mornay sauce served in a Provencale manner with shallots..."

Since the variable i never changes within the while loop, we can expect that the conditional, i==1 will remain true forever and the while loop will just go round and round, as if this restaurant offered nothing but spam. (If you try this at home, please nory, or other iterable). However, sometimes you may need the index value at the same time, for example for some calculation. The enumerate function generates the integer index for you, which can be used instead of the range function. The following two loops are equivalent:

```python data_list = [23,45,67]

for i in range(len(data_list)): print data_list[i], ' is item number ', i, ' in the list'

for i,d in enumerate(data_list): print d, ' is item number ', i, ' in the list' ```

zip

For iterating through multiple sequences, zip can be used to group them together to simultaneous pass through each sequence:

```python run_numbers = [1,2,3,4] run_times = [12.1, 33.0, 15.1, 22.9] directions = ['North', 'South', 'East', 'NorthEast']

for n, t, d in zip(run_numbers, run_times, directions): print n, t, d ```

Final Example

We've seen a lot so far. Lets work through a slightly lengthier example together. I'll use some of the concepts we already saw and introduce a few new concepts. To run the example, you'll need to locate a short file containing phone numbers. The file can be found in your repository within the phonenums directory and is called phonenums.txt. Now we have to move IPython to that directory so it can find the phonenums.txt file. You navigate within IPython in the same way that you navigate in the shell, by entering "cd [path]" .

This example opens a text file containing a list of phone numbers. The phone numbers are in the format ###-###-####, one to a line. The example code loops through each line in the file and counts the number of times each area code appears. The answer is stored in a dictionary, where the area code is the key and the number of times it occurs is the value.

```python

areacodes = {} # Create an empty dictionary f = open("phonenums.txt") # Open the text file for line in f: # iterate through the text file, one line at a time (think of the file as a list of lines) ac = line.split('-')[0] # Split phone number, first element is the area code if not ac in areacodes: # Check if it is already in the dictionary areacodes[ac] = 1 # If not, add it to the dictionary else: areacodes[ac] += 1 # Add one to the dictionary entry

print areacodes # Print the answer ```

Example : Iteritems

Use the iteritems dictionary method in combination with a for loop to print the keys/values of the areacodes dictionary one to a line. In other words, the goal is to write a loop that prints:

This example is a little tricky to figure out, but give it a shot.