Reputation: 1463
This is a simplistic example of a dictionary created by a json.load that I have t deal with:
{
"name": "USGS REST Services Query",
"queryInfo": {
"timePeriod": "PT4H",
"format": "json",
"data": {
"sites": [{
"id": "03198000",
"params": "[00060, 00065]"
},
{
"id": "03195000",
"params": "[00060, 00065]"
}]
}
}
}
Sometimes there may be 15-100 sites with unknown sets of parameters at each site. My goal is to either create two lists (one storing "site" IDs and the other storing "params") or a much simplified dictionary from this original dictionary. Is there a way to do this using nested for loops with kay,value pairs using the iteritem() method?
What I have tried to far is this:
queryDict = {}
for key,value in WS_Req_dict.iteritems():
if key == "queryInfo":
if value == "data":
for key, value in WS_Req_dict[key][value].iteritems():
if key == "sites":
siteVal = key
if value == "params":
paramList = [value]
queryDict["sites"] = siteVal
queryDict["sites"]["params"] = paramList
I run into trouble getting the second FOR loop to work. I haven't looked into pulling out lists yet.
I think this maybe an overall stupid way of doing it, but I can't see around it yet.
Upvotes: 0
Views: 81
Reputation: 881635
I think you can make your code much simpler by just indexing, when feasible, rather than looping over iteritems
.
for site in WS_Req_dict['queryInfo']['data']['sites']:
queryDict[site['id']] = site['params']
If some of the keys might be missing, dict
's get
method is your friend:
for site in WS_Req_dict.get('queryInfo',{}).get('data',{}).get('sites',[]):
would let you quietly ignore missing keys. But, this is much less readable, so, if I needed it, I'd encapsulate it into a function -- and often you may not need this level of precaution! (Another good alternative is a try/except KeyError
encapsulation to ignore missing keys, if they are indeed possible in your specific use case).
Upvotes: 1