*Memo:
- My post explains a dictionary (1).
- My post explains a dictionary (2).
- My post explains a dictionary (3).
- My post explains dictionary functions (1).
- My post explains dictionary functions (2).
A dictionary can be unpacked with an assignment and for
statement, function, *
and **
as shown below:
v1, v2, v3 = {0:1, 2:3, 4:5} # dict
v1, v2, v3 = {0:1, 2:3, 4:5}.keys() # dict.keys()
print(v1, v2, v3)
# 0 2 4
v1, v2, v3 = {0:1, 2:3, 4:5}.values() # dict.values()
print(v1, v2, v3)
# 1 3 5
v1, v2, v3 = {0:1, 2:3, 4:5}.items() # dict.items()
print(v1, v2, v3)
# (0, 1) (2, 3) (4, 5)
v1, *v2, v3 = {0:1, 2:3, 4:5, 6:7, 8:9, 10:11} # dict
v1, *v2, v3 = {0:1, 2:3, 4:5, 6:7, 8:9, 10:11}.keys() # dict.keys()
print(v1, v2, v3)
# 0 [2, 4, 6, 8] 10
v1, *v2, v3 = {0:1, 2:3, 4:5, 6:7, 8:9, 10:11}.values() # dict.values()
print(v1, v2, v3)
# 1 [3, 5, 7, 9] 11
v1, *v2, v3 = {0:1, 2:3, 4:5, 6:7, 8:9, 10:11}.items() # dict.items()
print(v1, v2, v3)
# (0, 1) [(2, 3), (4, 5), (6, 7), (8, 9)] (10, 11)
for v1, v2, v3 in [{0:1, 2:3, 4:5}, # list(dict)
{6:7, 8:9, 10:11}]:
# for v1, v2, v3 in [{0:1, 2:3, 4:5}.keys(), # list(dict.keys())
# {6:7, 8:9, 10:11}.keys()]:
print(v1, v2, v3)
# 0 2 4
# 6 8 10
for v1, v2, v3 in [{0:1, 2:3, 4:5}.values(), # list(dict.values())
{6:7, 8:9, 10:11}.values()]:
print(v1, v2, v3)
# 1 3 5
# 7 9 11
for v1, v2, v3 in [{0:1, 2:3, 4:5}.items(), # list(dict.items())
{6:7, 8:9, 10:11}.items()]:
print(v1, v2, v3)
# (0, 1) (2, 3) (4, 5)
# (6, 7) (8, 9) (10, 11)
# list(dict)
for v1, *v2, v3 in [{0:1, 2:3, 4:5, 6:7, 8:9, 10:11},
{12:13, 14:15, 16:17, 18:19, 20:21, 22:23}]:
# list(dict.keys())
# for v1, *v2, v3 in [{0:1, 2:3, 4:5, 6:7, 8:9, 10:11}.keys(),
# {12:13, 14:15, 16:17, 18:19, 20:21, 22:23}.keys()]:
print(v1, v2, v3)
print(v1, *v2, v3)
# 0 [2, 4, 6, 8] 10
# 0 2 4 6 8 10
# 12 [14, 16, 18, 20] 22
# 12 14 16 18 20 22
# list(dict.values())
for v1, *v2, v3 in [{0:1, 2:3, 4:5, 6:7, 8:9, 10:11}.values(),
{12:13, 14:15, 16:17, 18:19, 20:21, 22:23}.values()]:
print(v1, v2, v3)
print(v1, *v2, v3)
# 1 [3, 5, 7, 9] 11
# 1 3 5 7 9 11
# 13 [15, 17, 19, 21] 23
# 13 15 17 19 21 23
# list(dict.items())
for v1, *v2, v3 in [{0:1, 2:3, 4:5, 6:7, 8:9, 10:11}.items(),
{12:13, 14:15, 16:17, 18:19, 20:21, 22:23}.items()]:
print(v1, v2, v3)
print(v1, *v2, v3)
# (0, 1) [(2, 3), (4, 5), (6, 7), (8, 9)] (10, 11)
# (0, 1) (2, 3) (4, 5) (6, 7) (8, 9) (10, 11)
# (12, 13) [(14, 15), (16, 17), (18, 19), (20, 21)] (22, 23)
# (12, 13) (14, 15) (16, 17) (18, 19) (20, 21) (22, 23)
print(*{0:1, 2:3, 4:5, 6:7}, *{8:9, 10:11}) # dict
print(*{0:1, 2:3, 4:5, 6:7}.keys(), # dict.keys()
*{8:9, 10:11}.keys())
# 0 2 4 6 8 10
print(*{0:1, 2:3, 4:5, 6:7}.values(), # dict.values()
*{8:9, 10:11}.values())
# 1 3 5 7 9 11
print(*{0:1, 2:3, 4:5, 6:7}.items(), # dict.items()
*{8:9, 10:11}.items())
# (0, 1) (2, 3) (4, 5) (6, 7) (8, 9) (10, 11)
print([*{0:1, 2:3, 4:5, 6:7}, *{8:9, 10:11}]) # dict
print([*{0:1, 2:3, 4:5, 6:7}.keys(), # dict.keys()
*{8:9, 10:11}.keys()])
# [0, 2, 4, 6, 8, 10]
print([*{0:1, 2:3, 4:5, 6:7}.values(), # dict.values()
*{8:9, 10:11}.values()])
# [1, 3, 5, 7, 9, 11]
print([*{0:1, 2:3, 4:5, 6:7}.items(), # dict.items()
*{8:9, 10:11}.items()])
# [(0, 1), (2, 3), (4, 5), (6, 7), (8, 9), (10, 11)]
print({**{0:1, 2:3, 4:5, 6:7, 8:9, 10:11}})
print({**{0:1, 2:3}, 4:5, **{6:7, 8:9, **{10:11}}})
# {0: 1, 2: 3, 4: 5, 6: 7, 8: 9, 10: 11}
def func(A='b', C='d'):
print(A, C)
func()
# b d
func(**{'A':'B', 'C':'D'})
func(**{'A':'B'}, **{'C':'D'})
func(A='B', **{'C':'D'})
func(**{'A':'B'}, C='D')
func(A='B', C='D')
# B D
def func(A='b', **kwargs):
print(A, kwargs)
print(A, {0:1, **kwargs, 2:3})
func()
# b {}
# b {0: 1, 2: 3}
func(**{'A':'B', 'C':'D'})
func(**{'A':'B'}, **{'C':'D'})
func(A='B', **{'C':'D'})
func(**{'A':'B'}, C='D')
func(A='B', C='D')
# B {'C': 'D'}
# B {0: 1, 'C': 'D', 2: 3}
A dictionary can be continuously used through multiple variables as shown below:
v1 = v2 = v3 = {'name':'John', 'age':36, 'gender':'Male'}
# Equivalent
# v1 = {'name':'John', 'age':36, 'gender':'Male'}
# v2 = v1
# v3 = v2
v1['name'] = 'Anna'
v2['age'] = 24
v3['gender'] = 'Female'
print(v1) # {'name': 'Anna', 'age': 24, 'gender': 'Female'}
print(v2) # {'name': 'Anna', 'age': 24, 'gender': 'Female'}
print(v3) # {'name': 'Anna', 'age': 24, 'gender': 'Female'}
A dictionary can be shallow-copied and deep-copied as shown below:
<Shallow copy>:
*Memo:
-
v1
andv2
refer to different outer dictionaries and the same inner dictionary. -
is
keyword can check ifv1
andv2
refer to the same outer and/or inner dictionary. -
dict.copy(), copy.copy() and
dict()
shallow-copy a dictionary:-
dict.copy()
has no arguments.
-
import copy
v1 = {'a':'b', 'c':{'d':'e'}}
v2 = v1.copy()
v2 = copy.copy(v1)
v2 = dict(v1)
print(v1) # {'a': 'b', 'c': {'d': 'e'}}
print(v2) # {'a': 'b', 'c': {'d': 'e'}}
print(v1 is v2, v1['c'] is v2['c'])
# False True
v2['a'] = 'X'
v2['c']['d'] = 'Y'
# ↓↓↓ ↓↓↓
print(v1) # {'a': 'b', 'c': {'d': 'Y'}}
print(v2) # {'a': 'X', 'c': {'d': 'Y'}}
# ↑↑↑ ↑↑↑
<Deep copy>:
*Memo:
-
v1
andv2
refer to different outer and inner dictionaries.
*Memo:
- copy.deepcopy() deep-copies a dictionary.
-
copy.deepcopy()
should be used because it's safe, deeply copying a dictionary whiledict.copy()
,copy.copy()
anddict()
aren't safe, shallowly copying a dictionary.
import copy
v1 = {'a':'b', 'c':{'d':'e'}}
v2 = copy.deepcopy(v1)
print(v1) # {'a': 'b', 'c': {'d': 'e'}}
print(v2) # {'a': 'b', 'c': {'d': 'e'}}
print(v1 is v2, v1['c'] is v2['c'])
# False False
v2['a'] = 'X'
v2['c']['d'] = 'Y'
# ↓↓↓ ↓↓↓
print(v1) # {'a': 'b', 'c': {'d': 'e'}}
print(v2) # {'a': 'X', 'c': {'d': 'Y'}}
# ↑↑↑ ↑↑↑
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