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Tip If you can use a for loop rather than a while loop, you should probably do so.
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CHAPTER 5 CONDITIONALS, LOOPS, AND SOME OTHER STATEMENTS
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The xrange function works just like range in loops, but where range creates the whole sequence at once, xrange creates only one number at a time.6 This can be useful when iterating over huge sequences more efficiently, but in general, you don t need to worry about it.
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Iterating Over Dictionaries
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To loop over the keys of a dictionary, you can use a plain for statement, just as you can with sequences: d = {'x': 1, 'y': 2, 'z': 3} for key in d: print key, 'corresponds to', d[key] In Python versions before 2.2, you would have used a dictionary method such as keys to retrieve the keys (since direct iteration over dictionaries wasn t allowed). If only the values were of interest, you could have used d.values instead of d.keys. You may remember that d.items returns key-value pairs as tuples. One great thing about for loops is that you can use sequence unpacking in them: for key, value in d.items(): print key, 'corresponds to', value
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Note As always, the order of dictionary elements is undefined. In other words, when iterating over either the keys or the values of a dictionary, you can be sure that you ll process all of them, but you can t know in which order. If the order is important, you can store the keys or values in a separate list and, for example, sort it before iterating over it.
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Some Iteration Utilities
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Python has several functions that can be useful when iterating over a sequence (or other iterable object). Some of these are available in the itertools module (mentioned in 10), but there are some built-in functions that come in quite handy as well.
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Parallel Iteration
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Sometimes you want to iterate over two sequences at the same time. Let s say that you have the following two lists: names = ['anne', 'beth', 'george', 'damon'] ages = [12, 45, 32, 102]
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6. In Python 3.0, range will be turned into an xrange-style function.
CHAPTER 5 CONDITIONALS, LOOPS, AND SOME OTHER STATEMENTS
If you want to print out names with corresponding ages, you could do the following: for i in range(len(names)): print names[i], 'is', ages[i], 'years old' Here, i serves as a standard variable name for loop indices (as these things are called). A useful tool for parallel iteration is the built-in function zip, which zips together the sequences, returning a list of tuples: >>> zip(names, ages) [('anne', 12), ('beth', 45), ('george', 32), ('damon', 102)] Now I can unpack the tuples in my loop: for name, age in zip(names, ages): print name, 'is', age, 'years old' The zip function works with as many sequences as you want. It s important to note what zip does when the sequences are of different lengths: it stops when the shortest sequence is used up: >>> zip(range(5), xrange(100000000)) [(0, 0), (1, 1), (2, 2), (3, 3), (4, 4)] I wouldn t recommend using range instead of xrange in the preceding example. Although only the first five numbers are needed, range calculates all the numbers, and that may take a lot of time. With xrange, this isn t a problem because it calculates only those numbers needed.
Numbered Iteration
In some cases, you want to iterate over a sequence of objects and at the same time have access to the index of the current object. For example, you might want to replace every string that contains the substring 'xxx' in a list of strings. There would certainly be many ways of doing this, but let s say you want to do something along the following lines: for string in strings: if 'xxx' in string: index = strings.index(string) # Search for the string in the list of strings strings[index] = '[censored]' This would work, but it seems unnecessary to search for the given string before replacing it. Also, if you didn t replace it, the search might give you the wrong index (that is, the index of some previous occurrence of the same word). A better version would be the following: index = 0 for string in strings: if 'xxx' in string:
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