Dictionary is another data type in Python.
Dictionaries are collections of items that have a “key” and a “value”.
Python dictionaries are also known as associative arrays or hash tables.
They are just like lists, except instead of having an assigned index number,
you make up the index.
Dictionaries are unordered, so the order that the keys are added doesn’t
necessarily reflect what order they may be reported back.
Use {} curly brackets to construct the dictionary.
Look up the value associated with a key using []
Provide a key and a value.
A colon is placed between key and value (key:value)
Each key must be unique and each key can be in the dictionary only once.
How to create a Dictionary?
To create a dictionary, provide the key and the value and make sure that each pair is separated by a comma
# This is a list
mylist = ["first","second","third"]
# This is a dictionary
mydictionary = {0:"first",1:"second",2:"third"}
Let’s create some random dictionaries:
# Empty declaration + assignment of key-value pair
emptyDict = {}
emptyDict['key4']=’value4?
# Create a three items dictionary
x = {"one":1,"two":2,"three":3}
#The name of the dictionary can be anything you like
dict1 = {'abc': 456};
dict2 = {'abc':123,98.6:37};
Accessing / Getting values
To access dictionary elements, you can use the square brackets along with the key
to obtain its value.
data = {'Name':'Zara','Age':7,'Class':'First'};
# Get all keys
data.keys()
# Get all values
data.values()
# Print key1
print data['Name']
# Prints 7
print data['Age']
# Prints name and age
print 'Name', data['Name'];
print 'Age', data['Age'];
Looping through a Dictionary
A for loop on a dictionary iterates over its keys by default.
The keys will appear in an arbitrary order.
The methods dict.keys() and dict.values() return lists of the keys or values
explicitly.
There’s also an items() which returns a list of (key, value) tuples, which is the
most efficient way to examine all the key value data in the dictionary.
All of these lists can be passed to the sorted() function.
Basic syntax for looping through dictionaries (keys and values)
for key in data:
print data[key]
Let’s say that you have a dictionary called “data”
data = {
'key1': 'value1',
'key2': 'value2',
'key3': 'value3'
}
for key, value in data.items():
print key,value
Looping their values directory (not in order)
for value in data.values():
print value
Updating a Dictionary
Creates a new entry if the key is not already in dictionary.
Overwrites the previous value if the key is already present.
You can update a dictionary by:
adding a new entry or item (i.e., a key-value pair)
modifying an existing entry
deleting an existing entry
Let’s see how that works:
data = {'Name':'Zara','Age':7,'Class':'First'};
data['Age'] = 8; # update existing entry
data['School'] = "DPS School"; # Add new entry
print "data['Age']: ", data['Age'];
print "data['School']: ", data['School'];
Let’s take one more example:
birthday = {}
birthday['Darwin'] = 1809
birthday['Newton'] = 1942 # oops
birthday['Newton'] = 1642
print birthday
Delete a key / value
The “del” operator does deletions.
In the simplest case, it can remove the definition of a variable, as if that variable
had not been defined.
Del can also be used on list elements or slices to delete that part of the list and to
delete entries from a dictionary.
data = {'a':1,'b':2,'c':3}
del dict['b'] ## Delete 'b' entry
print dict ## {'a':1, 'c':3}
Example from Google Class
Let see this example from https://developers.google.com/edu/python/dict-files
## Can build up a dict by starting with the the empty dict {}
## and storing key/value pairs into the dict like this:
## dict[key] = value-for-that-key
dict = {}
dict['a'] = 'alpha'
dict['g'] = 'gamma'
dict['o'] = 'omega'
print dict ## {'a': 'alpha', 'o': 'omega', 'g': 'gamma'}
print dict['a'] ## Simple lookup, returns 'alpha'
dict['a'] = 6 ## Put new key/value into dict
'a' in dict ## True
## print dict['z'] ## Throws KeyError
if 'z' in dict: print dict['z'] ## Avoid KeyError
print dict.get('z') ## None (instead of KeyError)
A for loop on a dictionary iterates over its keys by default.
The keys will appear in an arbitrary order.
The methods dict.keys() and dict.values() return lists of the keys or values
explicitly.
There’s also an items() which returns a list of (key, value) tuples, which is the
most efficient way to examine all the key value data in the dictionary.
All of these lists can be passed to the sorted() function.
## Note that the keys are in a random order.
for key in dict: print key
## prints a g o
## Exactly the same as above
for key in dict.keys(): print key
## Get the .keys() list:
print dict.keys() ## ['a', 'o', 'g']
## Likewise, there's a .values() list of values
print dict.values() ## ['alpha', 'omega', 'gamma']
## Common case -- loop over the keys in sorted order,
## accessing each key/value
for key in sorted(dict.keys()):
print key, dict[key]
## .items() is the dict expressed as (key, value) tuples
print dict.items() ## [('a', 'alpha'), ('o', 'omega'), ('g', 'gamma')]
## This loop syntax accesses the whole dict by looping
## over the .items() tuple list, accessing one (key, value)
## pair on each iteration.
for k, v in dict.items(): print k, '>', v
## a > alpha o > omega g > gamma
Dict Formatting
The % operator works conveniently to substitute values from a dict into a string by name
hash = {}
hash['word'] = 'garfield'
hash['count'] = 42
s = 'I want %(count)d copies of %(word)s' % hash # %d for int, %s for string
# Will give you:
>> 'I want 42 copies of garfield'
Common Dictionary Operations
# create an empty dictionary
x = {}
# create a three items dictionary
x = {"one":1, "two":2, "three":3}
# get a list of all the keys
x.keys()
# get a list of all the values
x.values()
# add an entry
x["four"]=4
# change an entry
x["one"] = "uno"
# delete an entry
del x["four"]
# make a copy
y = x.copy()
# remove all items
x.clear()
#number of items
z = len(x)
# test if has key
z = x.has_key("one")
# looping over keys
for item in x.keys(): print item
# looping over values
for item in x.values(): print item
# using the if statement to get the values
if "one" in x:
print x['one']
if "two" not in x:
print "Two not found"
if "three" in x:
del x['three']
Sources
https://developers.google.com/edu/python/dict-files
http://docs.python.org/2/tutorial/datastructures.html
http://software-carpentry.org/3_0/py04.html
http://yuji.wordpress.com
http://www.tutorialspoint.com/python/python_dictionary.htm
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