user10381316
Reputation:
Get all unique key from nested object
I have this object:
{
"apple": {
"0": {
"2018-04-25 19:51:38": {
"x": "38.0",
"y": "23.0"
},
"2018-04-25 19:51:39": {
"x": "NaN",
"y": "NaN"
},
"2018-04-25 19:51:40": {
"x": "NaN",
"y": "NaN"
}
},
"5": {
"2018-04-25 19:51:38": {
"x": "50.0",
"y": "35.0"
},
"2018-04-25 19:51:43": {
"x": "21.0",
"y": "3.0"
}
},
"6": {
"2018-04-25 19:51:34": {
"x": "30.0",
"y": "15.0"
},
"2018-04-25 19:51:39": {
"x": "NaN",
"y": "NaN"
},
"2018-04-25 19:52:40": {
"x": "22.0",
"y": "20.0"
},
"2018-04-25 19:52:42": {
"x": "33.0",
"y": "45.0"
}
}
},
"team": {
"2": {
"2018-04-25 19:51:35": {
"x": "32.0",
"y": "25.0"
},
"2018-04-25 19:51:36": {
"x": "33.0",
"y": "40.0"
},
"2018-04-25 19:51:37": {
"x": "12.0",
"y": "24.0"
},
"2018-04-25 19:51:38": {
"x": "33.0",
"y": "45.0"
}
},
"3": {
"2018-04-25 19:51:35": {
"x": "2.0",
"y": "3.0"
},
"2018-04-25 19:51:36": {
"x": "4.0",
"y": "5.0"
},
"2018-04-25 19:51:37": {
"x": "12.0",
"y": "15.0"
},
"2018-04-25 19:51:38": {
"x": "33.0",
"y": "45.0"
}
},
"4": {
"2018-04-25 19:51:35": {
"x": "20.0",
"y": "30.0"
},
"2018-04-25 19:51:36": {
"x": "41.0",
"y": "35.0"
},
"2018-04-25 19:51:37": {
"x": "32.0",
"y": "65.0"
},
"2018-04-25 19:51:38": {
"x": "43.0",
"y": "49.0"
}
},
"5": {
"2018-04-25 19:51:35": {
"x": "21.0",
"y": "33.0"
},
"2018-04-25 19:51:36": {
"x": "31.0",
"y": "12.0"
},
"2018-04-25 19:51:37": {
"x": "34.0",
"y": "54.0"
},
"2018-04-25 19:51:38": {
"x": "93.0",
"y": "22.0"
}
}
}
}
What I want are two array of unique timestamps: one for apple and one for team.
So:
const appleTimestamps = ["2018-04-25 19:51:34", "2018-04-25 19:51:37", "2018-04-25 19:51:38", "2018-04-25 19:51:39", "2018-04-25 19:51:40", "2018-04-25 19:51:43", "2018-04-25 19:52:40", "2018-04-25 19:52:42"]
const teamTimestamps = ["2018-04-25 19:51:35", "2018-04-25 19:51:36", "2018-04-25 19:51:37", "2018-04-25 19:51:38"]
As you can see, keys inside Apple and team are not sequential.
How can I do that? The only way i thought is use find but I'm sure I'm wrong.
(I can use also Lodash)
Upvotes: 0
Views: 832
Answers (3)
Ori Drori
Reputation: 191976
Using lodash, you can create the function using _.flow():
_.flatMap()with_.keys()to get an array of timestamps_.uniq()to remove duplicates
const timestamps = _.flow([
o => _.flatMap(o, _.keys),
_.uniq,
])
const obj = {"apple": {"0": {"2018-04-25 19:51:38": {"x": "38.0", "y": "23.0"}, "2018-04-25 19:51:39": {"x": "NaN", "y": "NaN"}, "2018-04-25 19:51:40": {"x": "NaN", "y": "NaN"}}, "5": {"2018-04-25 19:51:38": {"x": "50.0", "y": "35.0"}, "2018-04-25 19:51:43": {"x": "21.0", "y": "3.0"}}, "6": {"2018-04-25 19:51:34": {"x": "30.0", "y": "15.0"}, "2018-04-25 19:51:39": {"x": "NaN", "y": "NaN"}, "2018-04-25 19:52:40": {"x": "22.0", "y": "20.0"}, "2018-04-25 19:52:42": {"x": "33.0", "y": "45.0"}}}, "team": {"2": {"2018-04-25 19:51:35": {"x": "32.0", "y": "25.0"}, "2018-04-25 19:51:36": {"x": "33.0", "y": "40.0"}, "2018-04-25 19:51:37": {"x": "12.0", "y": "24.0"}, "2018-04-25 19:51:38": {"x": "33.0", "y": "45.0"}}, "3": {"2018-04-25 19:51:35": {"x": "2.0", "y": "3.0"}, "2018-04-25 19:51:36": {"x": "4.0", "y": "5.0"}, "2018-04-25 19:51:37": {"x": "12.0", "y": "15.0"}, "2018-04-25 19:51:38": {"x": "33.0", "y": "45.0"}}, "4": {"2018-04-25 19:51:35": {"x": "20.0", "y": "30.0"}, "2018-04-25 19:51:36": {"x": "41.0", "y": "35.0"}, "2018-04-25 19:51:37": {"x": "32.0", "y": "65.0"}, "2018-04-25 19:51:38": {"x": "43.0", "y": "49.0"}}, "5": {"2018-04-25 19:51:35": {"x": "21.0", "y": "33.0"}, "2018-04-25 19:51:36": {"x": "31.0", "y": "12.0"}, "2018-04-25 19:51:37": {"x": "34.0", "y": "54.0"}, "2018-04-25 19:51:38": {"x": "93.0", "y": "22.0"}}}}
console.log(timestamps(obj.apple))
console.log(timestamps(obj.team))<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.min.js"></script>Upvotes: 0
Scott Sauyet
Reputation: 50787
Perhaps something like this:
const timestamps = obj =>
[...new Set(
Object.values(obj)
.map(Object.keys)
.reduce((a, b) => a.concat(b), []) // someday: `flatten`
)]
const obj = {"apple": {"0": {"2018-04-25 19:51:38": {"x": "38.0", "y": "23.0"}, "2018-04-25 19:51:39": {"x": "NaN", "y": "NaN"}, "2018-04-25 19:51:40": {"x": "NaN", "y": "NaN"}}, "5": {"2018-04-25 19:51:38": {"x": "50.0", "y": "35.0"}, "2018-04-25 19:51:43": {"x": "21.0", "y": "3.0"}}, "6": {"2018-04-25 19:51:34": {"x": "30.0", "y": "15.0"}, "2018-04-25 19:51:39": {"x": "NaN", "y": "NaN"}, "2018-04-25 19:52:40": {"x": "22.0", "y": "20.0"}, "2018-04-25 19:52:42": {"x": "33.0", "y": "45.0"}}}, "team": {"2": {"2018-04-25 19:51:35": {"x": "32.0", "y": "25.0"}, "2018-04-25 19:51:36": {"x": "33.0", "y": "40.0"}, "2018-04-25 19:51:37": {"x": "12.0", "y": "24.0"}, "2018-04-25 19:51:38": {"x": "33.0", "y": "45.0"}}, "3": {"2018-04-25 19:51:35": {"x": "2.0", "y": "3.0"}, "2018-04-25 19:51:36": {"x": "4.0", "y": "5.0"}, "2018-04-25 19:51:37": {"x": "12.0", "y": "15.0"}, "2018-04-25 19:51:38": {"x": "33.0", "y": "45.0"}}, "4": {"2018-04-25 19:51:35": {"x": "20.0", "y": "30.0"}, "2018-04-25 19:51:36": {"x": "41.0", "y": "35.0"}, "2018-04-25 19:51:37": {"x": "32.0", "y": "65.0"}, "2018-04-25 19:51:38": {"x": "43.0", "y": "49.0"}}, "5": {"2018-04-25 19:51:35": {"x": "21.0", "y": "33.0"}, "2018-04-25 19:51:36": {"x": "31.0", "y": "12.0"}, "2018-04-25 19:51:37": {"x": "34.0", "y": "54.0"}, "2018-04-25 19:51:38": {"x": "93.0", "y": "22.0"}}}}
console.log(timestamps(obj.apple))
console.log(timestamps(obj.team))Object.values and Object.keys make for great ways to traverse objects like this. And a Set is the canonical way to ensure uniqueness.
Upvotes: 2
Vineesh
Reputation: 3782
You can refer the below code. If there are multiple objects like apple, sets then you can move the code to a function instead of writing again and again.
var obj = {
"apple": {
"0": {
"2018-04-25 19:51:38": {
"x": "38.0",
"y": "23.0"
},
"2018-04-25 19:51:39": {
"x": "NaN",
"y": "NaN"
},
"2018-04-25 19:51:40": {
"x": "NaN",
"y": "NaN"
}
},
"5": {
"2018-04-25 19:51:38": {
"x": "50.0",
"y": "35.0"
},
"2018-04-25 19:51:43": {
"x": "21.0",
"y": "3.0"
}
},
"6": {
"2018-04-25 19:51:34": {
"x": "30.0",
"y": "15.0"
},
"2018-04-25 19:51:39": {
"x": "NaN",
"y": "NaN"
},
"2018-04-25 19:52:40": {
"x": "22.0",
"y": "20.0"
},
"2018-04-25 19:52:42": {
"x": "33.0",
"y": "45.0"
}
}
},
"team": {
"2": {
"2018-04-25 19:51:35": {
"x": "32.0",
"y": "25.0"
},
"2018-04-25 19:51:36": {
"x": "33.0",
"y": "40.0"
},
"2018-04-25 19:51:37": {
"x": "12.0",
"y": "24.0"
},
"2018-04-25 19:51:38": {
"x": "33.0",
"y": "45.0"
}
},
"3": {
"2018-04-25 19:51:35": {
"x": "2.0",
"y": "3.0"
},
"2018-04-25 19:51:36": {
"x": "4.0",
"y": "5.0"
},
"2018-04-25 19:51:37": {
"x": "12.0",
"y": "15.0"
},
"2018-04-25 19:51:38": {
"x": "33.0",
"y": "45.0"
}
},
"4": {
"2018-04-25 19:51:35": {
"x": "20.0",
"y": "30.0"
},
"2018-04-25 19:51:36": {
"x": "41.0",
"y": "35.0"
},
"2018-04-25 19:51:37": {
"x": "32.0",
"y": "65.0"
},
"2018-04-25 19:51:38": {
"x": "43.0",
"y": "49.0"
}
},
"5": {
"2018-04-25 19:51:35": {
"x": "21.0",
"y": "33.0"
},
"2018-04-25 19:51:36": {
"x": "31.0",
"y": "12.0"
},
"2018-04-25 19:51:37": {
"x": "34.0",
"y": "54.0"
},
"2018-04-25 19:51:38": {
"x": "93.0",
"y": "22.0"
}
}
}
};
var k = [];
Object.keys(obj.apple).forEach((el)=>{
k = k.concat(Object.keys(obj.apple[el]));
});
var appleTimeStamps = new Set(k);
appleTimeStamps = Array.from(appleTimeStamps);
console.log(appleTimeStamps);
var j = [];
Object.keys(obj.team).forEach((el)=>{
j = j.concat(Object.keys(obj.team[el]));
});
var teamTimeStamps = new Set(j);
teamTimeStamps = Array.from(teamTimeStamps);
console.log(teamTimeStamps);Upvotes: 0
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