I have a list of dicts that I would like to remove all dicts, where the value of several specific keys is less than their counterpart in another dict:
Here is my code:
for d in clean_hosting_dicts:
if (int(str(d["cores"]) ) < int(self.query["cores"]) ) or ( float(str(d["bandwidth"]).replace(",",".") ) < int(str(self.query["bandwidth"])) ) or ( float(str(d["storage"]).replace(",",".") ) < int(str(self.query["storage"])) ) or (float(str(d["ram"]).replace(",",".") ) < int(str(self.query["ram"])) ):
del clean_hosting_dicts[clean_hosting_dicts.index(d)]
Where clean_hosting_dictsis my list of dicts, and self.queryis another dict that has the same key, but with different values for testing against them.
Here's the json for self.query:
{"hosting_type" : "vps","cores": "3", "storage" :"2", "bandwidth" : "1", "ram" : "2", "ip" : "1"}
And here is the json for the dicts list before running this code (unfiltered list):
[
{
"support_score": "4,5",
"name": "Hostgator Snappy 8000",
"ip": "2",
"support": "chat,email,docs,phone,ticket",
"ram": "8",
"storage": "240",
"frequency_rate": 3,
"cpu": "AMD Opteron 6378",
"reviews": "3",
"bandwidth": "3",
"domains": "1",
"cores": "4",
"os": "CentOS 66",
"price": "39,95",
"guarantee": "45"
},
{
"support_score": "3,5",
"name": "Bluehost Standard",
"ip": "1",
"support": "email,chat,doc,phone,ticket",
"ram": "2",
"storage": "30",
"frequency_rate": 3,
"cpu": "AMD Opteron 6378",
"reviews": "3,2",
"bandwidth": "1",
"domains": "1",
"cores": "2",
"os": "CentOS 66",
"price": "19,99",
"guarantee": "30"
},
{
"support_score": "3,5",
"name": "Bluehost Enhanced",
"ip": "2",
"support": "email,chat,doc,phone,ticket",
"ram": "4",
"storage": "60",
"frequency_rate": 3,
"cpu": "AMD Opteron 6378",
"reviews": "3,2",
"bandwidth": "2",
"domains": "1",
"cores": "2",
"os": "CentOS 66",
"price": "29,99",
"guarantee": "30"
},
{
"support_score": "3,5",
"name": "Bluehost Ultimate",
"ip": "2",
"support": "email,chat,doc,phone,ticket",
"ram": "8",
"storage": "240",
"frequency_rate": 3,
"cpu": "AMD Opteron 6378",
"reviews": "3,2",
"bandwidth": "4",
"domains": "1",
"cores": "4",
"os": "CentOS 66",
"price": "59,99",
"guarantee": "30"
},
{
"support_score": "4",
"name": "iPage Business",
"ip": "2",
"support": "email,chat,doc,phone,ticket",
"ram": "4",
"storage": "90",
"frequency_rate": 3,
"cpu": "Unknown",
"reviews": "3,7",
"bandwidth": "3",
"domains": "1",
"cores": "2",
"os": "CentOS 64",
"price": "47,99",
"guarantee": "30"
},
{
"support_score": "4,5",
"name": "InMotion vps-1000ha-s",
"ip": "3",
"support": "email, phone, skype, ticket,chat",
"ram": "4",
"storage": "75",
"frequency_rate": 3,
"cpu": "Unknown",
"reviews": "4,5",
"bandwidth": "4",
"domains": "1",
"cores": 5,
"os": "CentOS 66",
"price": "29,99",
"guarantee": "30"
},
{
"support_score": "4,5",
"name": "InMotion vps-3000ha-s",
"ip": "5",
"support": "email, phone, skype, ticket,chat",
"ram": "8",
"storage": "260",
"frequency_rate": 3,
"cpu": "Unknown",
"reviews": "4,5",
"bandwidth": "6",
"domains": "1",
"cores": 5,
"os": "CentOS 66",
"price": "74,99",
"guarantee": "30"
},
{
"support_score": "4",
"name": "Fatcow Business",
"ip": "2",
"support": "email,chat,doc,phone,ticket",
"ram": "4",
"storage": "90",
"frequency_rate": 3,
"cpu": "Unknown",
"reviews": "3,8",
"bandwidth": "3",
"domains": "1",
"cores": "2",
"os": "CentOS 64",
"price": "47,99",
"guarantee": "30"
},
{
"support_score": "4",
"name": "1and1 Cloud L",
"ip": "1",
"support": "email,doc,phone,ticket",
"ram": "2",
"storage": "80",
"frequency_rate": 3,
"cpu": "Intel Xeon",
"reviews": "3",
"bandwidth": "0",
"domains": "1",
"cores": "2",
"os": "CentOS 7",
"price": "14,99",
"guarantee": "30"
},
{
"support_score": "4,5",
"name": "Hostgator Snappy 2000",
"ip": "2",
"support": "chat,email,docs,phone,ticket",
"ram": "2",
"storage": "120",
"frequency_rate": 3,
"cpu": "AMD Opteron 6376",
"reviews": "3",
"bandwidth": "1,5",
"domains": "1",
"cores": "2",
"os": "CentOS 64",
"price": "19,95",
"guarantee": "45"
}
]
After running this code, delete all dicts that do not meet the requirements, except for one “the one whose name has 1 & 1 Cloud L”, this has “2” as the value for the kernels, and query["cores"]4, which is more than two (I convert all these values are numbers)
, , , ir pdb.