Reputation: 50362
Just wrote some nasty code that iterates over a dict
or a list
in Python. I have a feeling this was not the best way to go about it.
The problem is that in order to iterate over a dict, this is the convention:
for key in dict_object:
dict_object[key] = 1
But modifying the object properties by key does not work if the same thing is done on a list:
# Throws an error because the value of key is the property value, not
# the list index:
for key in list_object:
list_object[key] = 1
The way I solved this problem was to write this nasty code:
if isinstance(obj, dict):
for key in obj:
do_loop_contents(obj, key)
elif isinstance(obj, list):
for i in xrange(0, len(obj)):
do_loop_contents(obj, i)
def do_loop_contents(obj, key):
obj[key] = 1
Is there a better way to do this?
Thanks!
Upvotes: 16
Views: 18926
Reputation: 1622
I stumbled upon this post while searching for a better one, here's how I did it.
for row in [dict_or_list] if not type(dict_or_list) is list else dict_or_list:
for i,v in row.items():
print(i,v)
Upvotes: 0
Reputation: 1967
You probably just want to have a different code depending on if the object you are trying to change is a dict or a list.
if type(object)==type([]):
for key in range(len(object)):
object[key]=1
elif type(object)==type({}): #use 'else' if you know that object will be a dict if not a list
for key in object:
object[key]=1
Upvotes: 1
Reputation: 353019
I've never needed to do this, ever. But if I did, I'd probably do something like this:
seq_iter = x if isinstance(x, dict) else xrange(len(x))
For example, in function form:
>>> def seq_iter(obj):
... return obj if isinstance(obj, dict) else xrange(len(obj))
...
>>> x = [1,2,3]
>>> for i in seq_iter(x):
... x[i] = 99
...
>>> x
[99, 99, 99]
>>>
>>> x = {1: 2, 2:3, 3:4}
>>> for i in seq_iter(x):
... x[i] = 99
...
>>> x
{1: 99, 2: 99, 3: 99}
Upvotes: 15
Reputation: 8244
test_list = [2, 3, 4]
for i, entry in enumerate(test_list):
test_list[i] = entry * 2
print(test_list) # Gives: [4, 6, 8]
But you probably want a list comprehension:
test_list = [2, 3, 4]
test_list = [entry * 2 for entry in test_list]
print(test_list) # Gives: [4, 6, 8]
Upvotes: 1
Reputation: 26150
To be pythonic and ducktype-y, and also to follow "ask for forgiveness not permission", you could do something like:
try:
iterator = obj.iteritems()
except AttributeError:
iterator = enumerate(obj)
for reference, value in iterator:
do_loop_contents(obj, reference)
Though if all you need is the key/index:
try:
references = obj.keys()
except AttributeError:
references = range(len(obj))
for reference in references:
do_loop_contents(obj, reference)
Or as a function:
def reference_and_value_iterator(iterable):
try:
return iterable.iteritems()
except AttributeError:
return enumerate(iterable)
for reference, value in reference_and_value_iterator(obj):
do_loop_contents(obj, reference)
Or for just the references:
def references(iterable):
try:
return iterable.keys()
except AttributeError:
return range(len(iterable))
for reference in references(obj):
do_loop_contents(obj, reference)
Upvotes: 5
Reputation: 137320
This is the correct way, but if for some reason you need to treat these two objects the same way, you can create an iterable that will return indexes / keys no matter what:
def common_iterable(obj):
if isinstance(obj, dict):
return obj
else:
return (index for index, value in enumerate(obj))
Which will behave in the way you wanted:
>>> d = {'a': 10, 'b': 20}
>>> l = [1,2,3,4]
>>> for index in common_iterable(d):
d[index] = 0
>>> d
{'a': 0, 'b': 0}
>>> for index in common_iterable(l):
l[index] = 0
>>> l
[0, 0, 0, 0]
Or probably more efficiently, using a generator:
def common_iterable(obj):
if isinstance(obj, dict):
for key in obj:
yield key
else:
for index, value in enumerate(obj):
yield index
Upvotes: 7