Highcharts: create multiple series grouped my month and year using JSON data

Highcharts: create multiple series grouped my month and year using JSON data

By : hpajaro
Date : December 02 2020, 10:46 PM
should help you out You can achieve it simply by creating a Date object using different parameters.
Instead of the string date parameter new Date('2019-07-07') use year and month as separate parameters like that: new Date(2019, 7).
code :
var json = [{
  month: 6,
  year: 2019,
  starts: 21278998,
  completes: 9309458
}, {
  month: 7,
  year: 2019,
  starts: 38850115,
  completes: 17790105

var series1 = {
    name: 'starts',
    data: []
  series2 = {
    name: 'completes',
    data: []

json.forEach(elem => {
    x: +new Date(elem.year, elem.month),
    y: elem.starts

    x: +new Date(elem.year, elem.month),
    y: elem.completes

Highcharts.chart('container', {
  chart: {
    type: 'spline'
  xAxis: {
    type: 'datetime'
  series: [

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C# - Parse Year/Month from multiple files, run program and create new file in subfolders (year/month)

C# - Parse Year/Month from multiple files, run program and create new file in subfolders (year/month)

By : Yasmine Annisa
Date : March 29 2020, 07:55 AM
I hope this helps you . I currently have a program where I am taking existing log files from a directory, running through each one and calculating statistics, then creating a new file from that.
code :
  String filename = "2012-4-24.log";
  String file = Path.GetFileNameWithoutExtension(filename);
  String[] parts = file.Split('-');
  if (parts.Length == 3)
    String year = parts[0];
    String month = parts[1];
    String day = parts[2];

    Console.WriteLine(string.Format("year:{0} - month:{1} - day:{2}", year, month, day));
Highcharts with JSON data and multiple series

Highcharts with JSON data and multiple series

By : Deimantas ThroneRush
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , You should look at this: http://api.highcharts.com/highcharts#series.data
If you specify each point as an object, you can add any property you want to each point and access it in your tooltip formatter through this.point.
code :
var seriesArr = [];
$.each(jdata, function(key, data) {
  var series = {name : key, data : []};

  $.each(data.y, function(index, value) {
    series.data.push({y: value });

  $.each(data.n, function(index, value) {
    series.data[index].n = value;
seriesArr : [{
    name : 'Total',
    data : [
      {y:9.39, n:9.62},
tooltip: {
  formatter: function () {
    return 'Y value is : ' + this.point.y + '<br>' + 'N value is : ' + this.point.n;
Retrieving JSON data for Highcharts with multiple series?

Retrieving JSON data for Highcharts with multiple series?

By : CamillaCarrillo
Date : March 29 2020, 07:55 AM
it fixes the issue I've been looking through tons of examples but I can't seem to get my code to pull out the data. The chart is blank. , As per Pal's comment - changed it to this:
code :
val1.push([value[0], value[1]]);
val2.push([value[0], value[2]]);
Highcharts: create multiple series using JSON data

Highcharts: create multiple series using JSON data

By : user3042529
Date : November 28 2020, 12:01 PM
will help you You can achieve it by splitting the JSON data into two separate series to look like that:
code :
  "name": "starts",
  "data": [{
    "x": 1562457600000, // date in milliseconds
    "y": 42
  }, {
    "x": 1562544000000,
    "y": 2
  }, {
    "x": 1562630400000,
    "y": 28
}, {
  "name": "completes",
  "data": [{
    "x": 1562457600000,
    "y": 142
  }, {
    "x": 1562544000000,
    "y": 90
  }, {
    "x": 1562630400000,
    "y": 175
Create rows for missing months in data grouped by year and month (multi index)

Create rows for missing months in data grouped by year and month (multi index)

By : user3386163
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further So Actually I found a solution to my problem. It involves the following steps: 1) instead of using .groupby(year, month) and get a multi index, I use .set_index(['year', 'month']).sum(level=[0,1]).reset_index() so that my group index does not involve datetime variables.
2) I create a 'date' column from the "year" and "month" columns, I used to group my date, using: pd.to_datetime(walney_month[['year', 'month']].assign(day=1)) ##Note: I need to assign a day (here, each monthly values are associated with the first day of the month).
code :

walney_day = walney_wff.set_index(['year', 'month', 'day']).sum(level [0,1,2]).reset_index()

walney_day['dry'] = np.where((walney_day['precp']==0), 1, 0).copy()

walney_month = walney_day.set_index(['year', 'month']).sum(level=[0,1]).reset_index()

walney_month['date'] = pd.to_datetime(walney_month[['year', 'month']].assign(day=1))

walney_month = walney_month.set_index('date')

all_months = pd.date_range(walney_month.index.min(), walney_month.index.max(), freq='MS')

walney_month = walney_month.reindex(all_months)
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