Six ways to get keys from the dictionary in Python
In this article, you will learn how to access the keys of the dictionaries using keys(), items(), list(), and unpacking
methods
Create a random dictionary using dict() constructor,
# Python 3.10
x = dict(Texas=1, Florida=2, Arizona=3)
x
# output
{'Texas': 1, 'Florida': 2, 'Arizona': 3}
Get keys using keys() method
Get all keys from the dictionary as a list,
The syntax of dictionary key method: dict.keys(). The keys() method return a copy of all keys as a list.
x.keys()
# output
dict_keys(['Texas', 'Florida', 'Arizona'])
# convert dict_keys object into list
list(x.keys())
# output
['Texas', 'Florida', 'Arizona']
Get keys using for loop
You can also use for loop to iterate over the keys and access them one by one from the dictionary,
for k in x:
print(k)
# output
Texas
Florida
Arizona
Get keys and values using items() method
You can access the keys and values of the dictionary while looping using the items() method
for k, v in x.items():
print(k, v)
# output
Texas 1
Florida 2
Arizona 3
Get keys using list
The keys from the dictionary can also be obtained using the list() method,
list(x)
# output
['Texas', 'Florida', 'Arizona']
Get keys from unpacking dictionary
The keys from the dictionary can also be obtained by unpacking the dictionary,
a, b, c = x
a, b, c
# output
('Texas', 'Florida', 'Arizona')
Get keys using * iterable unpacking operator
* iterable unpacking operator (supported in Python 3.5 or later) allows unpacking of dictionary,
[*x]
# output
['Texas', 'Florida', 'Arizona']
Enhance your skills with courses on Python and pandas
- Python for Data Analysis: Pandas & NumPy
- Mastering Data Analysis with Pandas: Learning Path Part 1
- Data Analysis Using Python
- Python for Everybody Specialization
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References
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