Difference between dict.clear() and assigning {} in Python

Question

In python, is there a difference between calling clear() and assigning {} to a dictionary? If yes, what is it? Example:

d = {\"stuff\":\"         


        

Answer 1

Mutating methods are always useful if the original object is not in scope:

def fun(d):
    d.clear()
    d["b"] = 2

d={"a": 2}
fun(d)
d          # {'b': 2}

Re-assigning the dictionary would create a new object and wouldn't modify the original one.

Answer 2

One thing not mentioned is scoping issues. Not a great example, but here's the case where I ran into the problem:

def conf_decorator(dec):
    """Enables behavior like this:
        @threaded
        def f(): ...

        or

        @threaded(thread=KThread)
        def f(): ...

        (assuming threaded is wrapped with this function.)
        Sends any accumulated kwargs to threaded.
        """
    c_kwargs = {}
    @wraps(dec)
    def wrapped(f=None, **kwargs):
        if f:
            r = dec(f, **c_kwargs)
            c_kwargs = {}
            return r
        else:
            c_kwargs.update(kwargs) #<- UnboundLocalError: local variable 'c_kwargs' referenced before assignment
            return wrapped
    return wrapped

The solution is to replace c_kwargs = {} with c_kwargs.clear()

If someone thinks up a more practical example, feel free to edit this post.

Answer 3

As an illustration for the things already mentioned before:

>>> a = {1:2}
>>> id(a)
3073677212L
>>> a.clear()
>>> id(a)
3073677212L
>>> a = {}
>>> id(a)
3073675716L

Answer 4

d = {} will create a new instance for d but all other references will still point to the old contents. d.clear() will reset the contents, but all references to the same instance will still be correct.

Answer 5

In addition to the differences mentioned in other answers, there also is a speed difference. d = {} is over twice as fast:

python -m timeit -s "d = {}" "for i in xrange(500000): d.clear()"
10 loops, best of 3: 127 msec per loop

python -m timeit -s "d = {}" "for i in xrange(500000): d = {}"
10 loops, best of 3: 53.6 msec per loop

Answer 6

In addition to @odano 's answer, it seems using d.clear() is faster if you would like to clear the dict for many times.

import timeit

p1 = ''' 
d = {}
for i in xrange(1000):
    d[i] = i * i
for j in xrange(100):
    d = {}
    for i in xrange(1000):
        d[i] = i * i
'''

p2 = ''' 
d = {}
for i in xrange(1000):
    d[i] = i * i
for j in xrange(100):
    d.clear()
    for i in xrange(1000):
        d[i] = i * i
'''

print timeit.timeit(p1, number=1000)
print timeit.timeit(p2, number=1000)

The result is:

20.0367929935
19.6444659233