Python 3 - Dictionary
Each key is separated from its value by a colon (:), the items are separated by commas, and the whole thing is enclosed in curly braces. An empty dictionary without any items is written with just two curly braces, like this: {}.
Keys are unique within a dictionary while values may not be. The values of a dictionary can be of any type, but the keys must be of an immutable data type such as strings, numbers, or tuples.
Accessing Values in Dictionary
To access dictionary elements, you can use the familiar square brackets along with the key to obtain its value. Following is a simple example
#!/usr/bin/python3 dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'} print ("dict['Name']: ", dict['Name']) print ("dict['Age']: ", dict['Age'])
When the above code is executed, it produces the following result −
dict['Name']: Zara dict['Age']: 7
If we attempt to access a data item with a key, which is not a part of the dictionary, we get an error as follows
#!/usr/bin/python3 dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'}; print ("dict['Alice']: ", dict['Alice'])
When the above code is executed, it produces the following result −
dict['Zara']:
Traceback (most recent call last):
File "test.py", line 4, in <module>
print "dict['Alice']: ", dict['Alice'];
KeyError: 'Alice'
Updating Dictionary
You can update a dictionary by adding a new entry or a key-value pair, modifying an existing entry, or deleting an existing entry as shown in a simple example given below.
#!/usr/bin/python3 dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'} dict['Age'] = 8; # update existing entry dict['School'] = "DPS School" # Add new entry print ("dict['Age']: ", dict['Age']) print ("dict['School']: ", dict['School'])
When the above code is executed, it produces the following result −
dict['Age']: 8 dict['School']: DPS School
Delete Dictionary Elements
You can either remove individual dictionary elements or clear the entire contents of a dictionary. You can also delete entire dictionary in a single operation.
To explicitly remove an entire dictionary, just use the del statement. Following is a simple example
#!/usr/bin/python3 dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'} del dict['Name'] # remove entry with key 'Name' dict.clear() # remove all entries in dict del dict # delete entire dictionary print ("dict['Age']: ", dict['Age']) print ("dict['School']: ", dict['School'])
This produces the following result.
An exception is raised because after del dict, the dictionary does not exist anymore.
dict['Age']:
Traceback (most recent call last):
File "test.py", line 8, in <module>
print "dict['Age']: ", dict['Age'];
TypeError: 'type' object is unsubscriptable
Note − The del() method is discussed in subsequent section.
Properties of Dictionary Keys
Dictionary values have no restrictions. They can be any arbitrary Python object, either standard objects or user-defined objects. However, same is not true for the keys.
There are two important points to remember about dictionary keys −
(a) More than one entry per key is not allowed. This means no duplicate key is allowed. When duplicate keys are encountered during assignment, the last assignment wins. For example
#!/usr/bin/python3 dict = {'Name': 'Zara', 'Age': 7, 'Name': 'Manni'} print ("dict['Name']: ", dict['Name'])
When the above code is executed, it produces the following result −
dict['Name']: Manni
(b) Keys must be immutable. This means you can use strings, numbers or tuples as dictionary keys but something like ['key'] is not allowed. Following is a simple example −
#!/usr/bin/python3 dict = {['Name']: 'Zara', 'Age': 7} print ("dict['Name']: ", dict['Name'])
When the above code is executed, it produces the following result −
Traceback (most recent call last):
File "test.py", line 3, in <module>
dict = {['Name']: 'Zara', 'Age': 7}
TypeError: list objects are unhashable
Built-in Dictionary Functions and Methods
Python includes the following dictionary functions −
| Sr.No. | Function & Description |
|---|---|
| 1 | cmp(dict1, dict2) No longer available in Python 3. |
| 2 | len(dict) Gives the total length of the dictionary. This would be equal to the number of items in the dictionary. |
| 3 | str(dict) Produces a printable string representation of a dictionary |
| 4 | type(variable) Returns the type of the passed variable. If passed variable is dictionary, then it would return a dictionary type. |
Python includes the following dictionary methods −
| Sr.No. | Method & Description |
|---|---|
| 1 | dict.clear() Removes all elements of dictionary dict |
| 2 | dict.copy() Returns a shallow copy of dictionary dict |
| 3 | dict.fromkeys() Create a new dictionary with keys from seq and values set to value. |
| 4 | dict.get(key, default=None) For key key, returns value or default if key not in dictionary |
| 5 | dict.has_key(key) Removed, use the in operation instead. |
| 6 | dict.items() Returns a list of dict's (key, value) tuple pairs |
| 7 | dict.keys() Returns list of dictionary dict's keys |
| 8 | dict.setdefault(key, default = None) Similar to get(), but will set dict[key] = default if key is not already in dict |
| 9 | dict.update(dict2) Adds dictionary dict2's key-values pairs to dict |
| 10 | dict.values() Returns list of dictionary dict's values |
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