替换python字典列表中的值

Question

So I have a huge list of dictionaries and I want to:

• change asterixs into the integer "4"
• change all spaces "" to the integer "0"
• change all other numbers to integers

(this is only a portion of the list)

 clean_dict= [{'origin': 'Various/Unknown', 'idps': '', 'year': '1951', 'total': '180000', 'stateless': '', 'ret_refugees': '', 'asylum': '', 'country': 'Australia', 'others': '', 'ret_idps': '', 'refugees': '180000'}, {'origin': 'Various/Unknown', 'idps': '', 'year': '1951', 'total': '282000', 'stateless': '', 'ret_refugees': '', 'asylum': '', 'country': 'Austria', 'others': '', 'ret_idps': '', 'refugees': '282000'}]

I tried this code but nothing happened, any help is very appreciated!

Also pandas library is not allowed for this assignment.

 for name, datalist in clean_data.iteritems():
    for datadict in datalist:
        for key, value in datadict.items():
            if value == "*":
                datadict[key] = int(4)
            elif value == "":
                datadict[key]= int(0)
            else:
                value == int(value)

Answer 1

Assuming you're using Python 3 try this. For Python 2.x the main difference is to use iteritems() instead of items() but the rest should remain the same.

for dict in clean_dict:
    for k,v in dict.items():
        if v == '*':
            dict[k] = 4
        elif v == '':
            dict[k]= 0
        else:
            # not necessarily an integer so handle exception
            try:
                dict[k] = int(v)
            except ValueError:
                pass

Answer 2

I guess this is what you want.

clean_dict= [{'origin': 'Various/Unknown', 'idps': '', 'year': '1951', 'total': '180000', 'stateless': '', 'ret_refugees': '', 'asylum': '', 'country': 'Australia', 'others': '', 'ret_idps': '', 'refugees': '180000'}, {'origin': 'Various/Unknown', 'idps': '', 'year': '1951', 'total': '282000', 'stateless': '', 'ret_refugees': '', 'asylum': '', 'country': 'Austria', 'others': '', 'ret_idps': '', 'refugees': '282000'}]
for datadict in clean_dict:
    for key, value in datadict.items():
        if value == '*':
            datadict[key] = 4
        elif value == '':
            datadict[key] = 0
        else:
            try:
                datadict[key] = int(value)
            except:
                continue

Changes explained:

• int(4) or int(0) is unneccessary.
• value == int(value) does nothing, ie, it doesn't update your list or dictionary.
• for name, datalist in clean_data.iteritems(): name is unused and also this does not help to update your list.
• try and except: is used because string value such as Australia cannot be converted to int type.