Нет необходимости проверять 06, когда вы все равно анализируете, поэтому измените значение на
var filteredZoneData = _.filter(
data, o => +o.timestamp.substring(11, 13) >= 6 // there will be no 24 in the timestamp
);
или на диапазон:
var filteredZoneData = _.filter(data, o => {
const t = +o.timestamp.substring(11, 13);
return t >= 6 && t < 24;
});
Пример использования loda sh
"use strict"
const data = [ {timestamp: "2020-04-23 05:05", totalAvg: 2.596211180124224}, {timestamp: "2020-04-23 05:10", totalAvg: 3.22052273203436}, {timestamp: "2020-04-23 05:15", totalAvg: 4.75883386099804}, {timestamp: "2020-04-23 05:20", totalAvg: 4.052205882352941}, {timestamp: "2020-04-23 05:25", totalAvg: 6.801380301941049}, {timestamp: "2020-04-23 05:30", totalAvg: 5.147239169614846}, {timestamp: "2020-04-23 05:35", totalAvg: 5.035438241980298}, {timestamp: "2020-04-23 05:40", totalAvg: 5.043628013777267}, {timestamp: "2020-04-23 05:45", totalAvg: 3.491275770565422}, {timestamp: "2020-04-23 05:50", totalAvg: 3.9865817073170735}, {timestamp: "2020-04-23 05:55", totalAvg: 2.8146341463414632}, {timestamp: "2020-04-23 06:00", totalAvg: 4.0066161616161615}, {timestamp: "2020-04-23 06:05", totalAvg: 4.870049261083743}, {timestamp: "2020-04-23 06:10", totalAvg: 3.3189162561576357} ];
var filteredZoneData = _.filter(data, o => +o.timestamp.substring(11, 13) >= 6); // there will be no 24 in the timestamp
console.log(filteredZoneData)
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js"></script>
Но зачем использовать библиотеку, когда JS может обойтись без нее?
const data = [ {timestamp: "2020-04-23 05:05", totalAvg: 2.596211180124224}, {timestamp: "2020-04-23 05:10", totalAvg: 3.22052273203436}, {timestamp: "2020-04-23 05:15", totalAvg: 4.75883386099804}, {timestamp: "2020-04-23 05:20", totalAvg: 4.052205882352941}, {timestamp: "2020-04-23 05:25", totalAvg: 6.801380301941049}, {timestamp: "2020-04-23 05:30", totalAvg: 5.147239169614846}, {timestamp: "2020-04-23 05:35", totalAvg: 5.035438241980298}, {timestamp: "2020-04-23 05:40", totalAvg: 5.043628013777267}, {timestamp: "2020-04-23 05:45", totalAvg: 3.491275770565422}, {timestamp: "2020-04-23 05:50", totalAvg: 3.9865817073170735}, {timestamp: "2020-04-23 05:55", totalAvg: 2.8146341463414632}, {timestamp: "2020-04-23 06:00", totalAvg: 4.0066161616161615}, {timestamp: "2020-04-23 06:05", totalAvg: 4.870049261083743}, {timestamp: "2020-04-23 06:10", totalAvg: 3.3189162561576357} ];
let filteredZoneData = data.filter(
dt => dt.timestamp.split(" ")[1] > "06"
);
console.log(filteredZoneData);
// or if you prefer
filteredZoneData = data.filter(
dt => parseInt(dt.timestamp.split(" ")[1]) >= 6
);
console.log(filteredZoneData);