7 Strings

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Chapter 8  Strings

Strings are not like integers, floats, and booleans. A string
is a sequence, which means it is
an ordered collection of other values. In this chapter you’ll see
how to access the characters that make up a string, and you’ll
learn about some of the methods strings provide.

8.1  A string is a sequence





A string is a sequence of characters.
You can access the characters one at a time with the
bracket operator:

>>> fruit = 'banana'
>>> letter = fruit[1]

The second statement selects character number 1 from fruit and assigns it to letter.

The expression in brackets is called an index.
The index indicates which character in the sequence you
want (hence the name).

But you might not get what you expect:

>>> letter
'a'

For most people, the first letter of 'banana' is b, not
a. But for computer scientists, the index is an offset from the
beginning of the string, and the offset of the first letter is zero.

>>> letter = fruit[0]
>>> letter
'b'

So b is the 0th letter (“zero-eth”) of 'banana', a is the 1th letter (“one-eth”), and n is the 2th letter
(“two-eth”).

As an index you can use an expression that contains variables and
operators:

>>> i = 1
>>> fruit[i]
'a'
>>> fruit[i+1]
'n'

But the value of the index has to be an integer. Otherwise you
get:

>>> letter = fruit[1.5]
TypeError: string indices must be integers

8.2  len


len is a built-in function that returns the number of characters
in a string:

>>> fruit = 'banana'
>>> len(fruit)
6

To get the last letter of a string, you might be tempted to try something
like this:

>>> length = len(fruit)
>>> last = fruit[length]
IndexError: string index out of range

The reason for the IndexError is that there is no letter in ’banana’ with the index 6. Since we started counting at zero, the
six letters are numbered 0 to 5. To get the last character, you have
to subtract 1 from length:

>>> last = fruit[length-1]
>>> last
'a'

Or you can use negative indices, which count backward from
the end of the string. The expression fruit[-1] yields the last
letter, fruit[-2] yields the second to last, and so on.

8.3  Traversal with a for loop







A lot of computations involve processing a string one character at a
time. Often they start at the beginning, select each character in
turn, do something to it, and continue until the end. This pattern of
processing is called a traversal. One way to write a traversal
is with a while loop:

index = 0
while index < len(fruit):
    letter = fruit[index]
    print(letter)
    index = index + 1

This loop traverses the string and displays each letter on a line by
itself. The loop condition is index < len(fruit), so
when index is equal to the length of the string, the
condition is false, and the body of the loop doesn’t run. The
last character accessed is the one with the index len(fruit)-1,
which is the last character in the string.

As an exercise, write a function that takes a string as an argument
and displays the letters backward, one per line.

Another way to write a traversal is with a for loop:

for letter in fruit:
    print(letter)

Each time through the loop, the next character in the string is assigned
to the variable letter. The loop continues until no characters are
left.


The following example shows how to use concatenation (string addition)
and a for loop to generate an abecedarian series (that is, in
alphabetical order). In Robert McCloskey’s book Make
Way for Ducklings
, the names of the ducklings are Jack, Kack, Lack,
Mack, Nack, Ouack, Pack, and Quack. This loop outputs these names in
order:

prefixes = 'JKLMNOPQ'
suffix = 'ack'

for letter in prefixes:
    print(letter + suffix)

The output is:

Jack
Kack
Lack
Mack
Nack
Oack
Pack
Qack

Of course, that’s not quite right because “Ouack” and “Quack” are
misspelled. As an exercise, modify the program to fix this error.

8.4  String slices



A segment of a string is called a slice. Selecting a slice is
similar to selecting a character:

>>> s = 'Monty Python'
>>> s[0:5]
'Monty'
>>> s[6:12]
'Python'

The operator [n:m] returns the part of the string from the
“n-eth” character to the “m-eth” character, including the first but
excluding the last. This behavior is counterintuitive, but it might
help to imagine the indices pointing between the
characters, as in Figure 8.1.


image
Figure 8.1: Slice indices.


If you omit the first index (before the colon), the slice starts at
the beginning of the string. If you omit the second index, the slice
goes to the end of the string:

>>> fruit = 'banana'
>>> fruit[:3]
'ban'
>>> fruit[3:]
'ana'

If the first index is greater than or equal to the second the result
is an empty string, represented by two quotation marks:

>>> fruit = 'banana'
>>> fruit[3:3]
''

An empty string contains no characters and has length 0, but other
than that, it is the same as any other string.

Continuing this example, what do you think
fruit[:] means? Try it and see.

8.5  Strings are immutable



It is tempting to use the [] operator on the left side of an
assignment, with the intention of changing a character in a string.
For example:

>>> greeting = 'Hello, world!'
>>> greeting[0] = 'J'
TypeError: 'str' object does not support item assignment

The “object” in this case is the string and the “item” is
the character you tried to assign. For now, an object is
the same thing as a value, but we will refine that definition
later (Section 10.10).




The reason for the error is that
strings are immutable, which means you can’t change an
existing string. The best you can do is create a new string
that is a variation on the original:

>>> greeting = 'Hello, world!'
>>> new_greeting = 'J' + greeting[1:]
>>> new_greeting
'Jello, world!'

This example concatenates a new first letter onto
a slice of greeting. It has no effect on
the original string.

8.6  Searching

What does the following function do?

def find(word, letter):
    index = 0
    while index < len(word):
        if word[index] == letter:
            return index
        index = index + 1
    return -1

In a sense, find is the inverse of the [] operator.
Instead of taking an index and extracting the corresponding character,
it takes a character and finds the index where that character
appears. If the character is not found, the function returns -1.

This is the first example we have seen of a return statement
inside a loop. If word[index] == letter, the function breaks
out of the loop and returns immediately.

If the character doesn’t appear in the string, the program
exits the loop normally and returns -1.

This pattern of computation—traversing a sequence and returning
when we find what we are looking for—is called a search.


As an exercise, modify find so that it has a
third parameter, the index in word where it should start
looking.

8.7  Looping and counting





The following program counts the number of times the letter a
appears in a string:

word = 'banana'
count = 0
for letter in word:
    if letter == 'a':
        count = count + 1
print(count)

This program demonstrates another pattern of computation called a counter. The variable count is initialized to 0 and then
incremented each time an a is found.
When the loop exits, count
contains the result—the total number of a’s.


As an exercise, encapsulate this code in a function named count, and generalize it so that it accepts the string and the
letter as arguments.

Then rewrite the function so that instead of
traversing the string, it uses the three-parameter version of find from the previous section.

8.8  String methods

Strings provide methods that perform a variety of useful operations.
A method is similar to a function—it takes arguments and
returns a value—but the syntax is different. For example, the
method upper takes a string and returns a new string with
all uppercase letters.

Instead of the function syntax upper(word), it uses
the method syntax word.upper().

>>> word = 'banana'
>>> new_word = word.upper()
>>> new_word
'BANANA'

This form of dot notation specifies the name of the method, upper, and the name of the string to apply the method to, word. The empty parentheses indicate that this method takes no
arguments.

A method call is called an invocation; in this case, we would
say that we are invoking upper on word.

As it turns out, there is a string method named find that
is remarkably similar to the function we wrote:

>>> word = 'banana'
>>> index = word.find('a')
>>> index
1

In this example, we invoke find on word and pass
the letter we are looking for as a parameter.

Actually, the find method is more general than our function;
it can find substrings, not just characters:

>>> word.find('na')
2

By default, find starts at the beginning of the string, but
it can take a second argument, the index where it should start:

>>> word.find('na', 3)
4

This is an example of an optional argument;
find can
also take a third argument, the index where it should stop:

>>> name = 'bob'
>>> name.find('b', 1, 2)
-1

This search fails because b does not
appear in the index range from 1 to 2, not including 2. Searching up to, but not including, the second index makes
find consistent with the slice operator.

8.9  The in operator





The word in is a boolean operator that takes two strings and
returns True if the first appears as a substring in the second:

>>> 'a' in 'banana'
True
>>> 'seed' in 'banana'
False

For example, the following function prints all the
letters from word1 that also appear in word2:

def in_both(word1, word2):
    for letter in word1:
        if letter in word2:
            print(letter)

With well-chosen variable names,
Python sometimes reads like English. You could read
this loop, “for (each) letter in (the first) word, if (the) letter
(appears) in (the second) word, print (the) letter.”

Here’s what you get if you compare apples and oranges:

>>> in_both('apples', 'oranges')
a
e
s

8.10  String comparison


The relational operators work on strings. To see if two strings are equal:

if word == 'banana':
    print('All right, bananas.')

Other relational operations are useful for putting words in alphabetical
order:

if word < 'banana':
    print('Your word, ' + word + ', comes before banana.')
elif word > 'banana':
    print('Your word, ' + word + ', comes after banana.')
else:
    print('All right, bananas.')

Python does not handle uppercase and lowercase letters the same way
people do. All the uppercase letters come before all the
lowercase letters, so:

Your word, Pineapple, comes before banana.

A common way to address this problem is to convert strings to a
standard format, such as all lowercase, before performing the
comparison. Keep that in mind in case you have to defend yourself
against a man armed with a Pineapple.

8.11  Debugging


When you use indices to traverse the values in a sequence,
it is tricky to get the beginning and end of the traversal
right. Here is a function that is supposed to compare two
words and return True if one of the words is the reverse
of the other, but it contains two errors:

def is_reverse(word1, word2):
    if len(word1) != len(word2):
        return False
    
    i = 0
    j = len(word2)

    while j > 0:
        if word1[i] != word2[j]:
            return False
        i = i+1
        j = j-1

    return True

The first if statement checks whether the words are the
same length. If not, we can return False immediately.
Otherwise, for the rest of the function, we can assume that the words
are the same length. This is an example of the guardian pattern
in Section 6.8.


i and j are indices: i traverses word1
forward while j traverses word2 backward. If we find
two letters that don’t match, we can return False immediately.
If we get through the whole loop and all the letters match, we
return True.

If we test this function with the words “pots” and “stop”, we
expect the return value True, but we get an IndexError:

>>> is_reverse('pots', 'stop')
...
  File "reverse.py", line 15, in is_reverse
    if word1[i] != word2[j]:
IndexError: string index out of range

For debugging this kind of error, my first move is to
print the values of the indices immediately before the line
where the error appears.

    while j > 0:
        print(i, j)        # print here
        
        if word1[i] != word2[j]:
            return False
        i = i+1
        j = j-1

Now when I run the program again, I get more information:

>>> is_reverse('pots', 'stop')
0 4
...
IndexError: string index out of range

The first time through the loop, the value of j is 4,
which is out of range for the string 'pots'.
The index of the last character is 3, so the
initial value for j should be len(word2)-1.

If I fix that error and run the program again, I get:

>>> is_reverse('pots', 'stop')
0 3
1 2
2 1
True

This time we get the right answer, but it looks like the loop only ran
three times, which is suspicious. To get a better idea of what is
happening, it is useful to draw a state diagram. During the first
iteration, the frame for is_reverse is shown in
Figure 8.2.


image
Figure 8.2: State diagram.


I took some license by arranging the variables in the frame
and adding dotted lines to show that the values of i and
j indicate characters in word1 and word2.

Starting with this diagram, run the program on paper, changing the
values of i and j during each iteration. Find and fix the
second error in this function.

8.12  Glossary

object:
Something a variable can refer to. For now,
you can use “object” and “value” interchangeably.
sequence:
An ordered collection of
values where each value is identified by an integer index.
item:
One of the values in a sequence.
index:
An integer value used to select an item in
a sequence, such as a character in a string. In Python
indices start from 0.
slice:
A part of a string specified by a range of indices.
empty string:
A string with no characters and length 0, represented
by two quotation marks.
immutable:
The property of a sequence whose items cannot
be changed.
traverse:
To iterate through the items in a sequence,
performing a similar operation on each.
search:
A pattern of traversal that stops
when it finds what it is looking for.

counter:
A variable used to count something, usually initialized
to zero and then incremented.
invocation:
A statement that calls a method.
optional argument:
A function or method argument that is not
required.

8.13  Exercises

Exercise 1  

Read the documentation of the string methods at
http://docs.python.org/3/library/stdtypes.html#string-methods.
You might want to experiment with some of them to make sure you
understand how they work. strip and replace are
particularly useful.

The documentation uses a syntax that might be confusing.
For example, in find(sub[, start[, end]]), the brackets
indicate optional arguments. So sub is required, but
start is optional, and if you include start,
then end is optional.

Exercise 2  

There is a string method called count that is similar
to the function in Section 
8.7. Read the documentation
of this method
and write an invocation that counts the number of a’s
in 'banana'.

Exercise 3  


A string slice can take a third index that specifies the “step
size”; that is, the number of spaces between successive characters.
A step size of 2 means every other character; 3 means every third,
etc.

>>> fruit = 'banana'
>>> fruit[0:5:2]
'bnn'

A step size of -1 goes through the word backwards, so
the slice [::-1] generates a reversed string.

Use this idiom to write a one-line version of is_palindrome
from Exercise 
3.

Exercise 4  

The following functions are all intended to check whether a
string contains any lowercase letters, but at least some of them are
wrong. For each function, describe what the function actually does
(assuming that the parameter is a string).

def any_lowercase1(s):
    for c in s:
        if c.islower():
            return True
        else:
            return False

def any_lowercase2(s):
    for c in s:
        if 'c'.islower():
            return 'True'
        else:
            return 'False'

def any_lowercase3(s):
    for c in s:
        flag = c.islower()
    return flag

def any_lowercase4(s):
    flag = False
    for c in s:
        flag = flag or c.islower()
    return flag

def any_lowercase5(s):
    for c in s:
        if not c.islower():
            return False
    return True
Exercise 5  


A Caesar cypher is a weak form of encryption that involves “rotating” each
letter by a fixed number of places. To rotate a letter means
to shift it through the alphabet, wrapping around to the beginning if
necessary, so ’A’ rotated by 3 is ’D’ and ’Z’ rotated by 1 is ’A’.

To rotate a word, rotate each letter by the same amount.
For example, “cheer” rotated by 7 is “jolly” and “melon” rotated
by -10 is “cubed”. In the movie
2001: A Space Odyssey, the
ship computer is called HAL, which is IBM rotated by -1.

Write a function called rotate_word
that takes a string and an integer as parameters, and returns
a new string that contains the letters from the original string
rotated by the given amount.

You might want to use the built-in function ord, which converts
a character to a numeric code, and chr, which converts numeric
codes to characters. Letters of the alphabet are encoded in alphabetical
order, so for example:

>>> ord('c') - ord('a')
2

Because 'c' is the two-eth letter of the alphabet. But
beware: the numeric codes for upper case letters are different.

Potentially offensive jokes on the Internet are sometimes encoded in
ROT13, which is a Caesar cypher with rotation 13. If you are not
easily offended, find and decode some of them. Solution:
http://thinkpython2.com/code/rotate.py.

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