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I am trying to set up a simple org chart with Highcharts to display our association board and functions.Below the president, there are 4 level 1 items, then there are 3 folks at level 2 and I would like to add another 5 folks also at level 2 but all this would not fit given the chart width, so I would like to extend the level 2 line so that these 5 level 2 folks get displayed below, pretty much like a level 3...just like this
I believe that this is easy but just couldn't figure it out...
Thanks for helping out
Philippe
Try to manipulate properties offsetHorizontal and offsetVertical.
series: [{
type: 'organization',
name: 'Digital Transformation',
keys: ['from', 'to'],
data: [
['CEO', 'Department1'],
['CEO', 'Department2'],
['CEO', 'Department3'],
['CEO', 'Department4'],
['CEO', 'Department5'],
['CEO', 'Department4x'],
],
levels: [{
level: 0,
color: 'silver',
dataLabels: {
color: 'white'
},
height: 25
}, {
level: 1,
color: 'silver',
dataLabels: {
color: 'black'
},
height: 25
}, {
level: 2,
color: 'green',
dataLabels: {
color: 'black'
},
height: 25
}],
nodes: [{
id: '',
title: 'CEO',
name: null,
color: "#000000",
info: "CEO"
}, {
className: 'title',
id: 'Department1',
title: 'Department1',
name: '',
layout: 'hanging',
}, {
id: 'Department2',
title: 'Department2',
name: '',
layout: 'hanging',
}, {
id: 'Department3',
title: 'Department3',
name: '',
layout: 'hanging',
}, {
id: 'Department4',
title: 'Department4',
name: '',
layout: 'hanging',
}, {
id: 'Department5',
title: 'Department5',
name: '',
layout: 'hanging',
level: 1,
offsetHorizontal: 15,
offsetVertical: 0,
}, {
id: 'Department4x',
title: 'Department4x',
name: '',
layout: 'hanging',
level: 2
}],
}],
Live demo:
https://jsfiddle.net/BlackLabel/0tk6n94L/
API References:
https://api.highcharts.com/highcharts/series.organization.nodes.offsetHorizontal
https://api.highcharts.com/highcharts/series.organization.nodes.offsetVertical
I computed a graph in Highcharts which words perfectly well in any browser but internet explorer (see https://jsfiddle.net/statistik_tg/e69Lp3cv/). I had to add a drill down and drill up as the main chart and the drilled down chart include other metrics. Since then, it hasn't been working in IE.
Does anybody know asolution to let the code run in IE, too? Thanks in advance!
$(document).ready(function() {
var chart = {
type: 'column',
marginBottom: 220,
spacingBottom: 85,
events: {
drilldown: function (e) {
if (!e.seriesOptions) {
var chart = this,
drilldowns = {
'Thurgau': {
name: 'Übrige',
color: '#878787',
data: [
['2009', 106],
['2010', 107],
['2011', 102],
['2012', 102],
['2013', 100],
['2014', 102],
['2015', 107],
['2016', 120],
['2017', 121]
]
}
},
drilldowns2 = {
'Thurgau': {
name: 'Phyisotherapie',
color: '#B5B5B5',
data: [
['2009', 79],
['2010', 83],
['2011', 82],
['2012', 85],
['2013', 89],
['2014', 103],
['2015', 115],
['2016', 128],
['2017', 132]
]
}
},
drilldowns3 = {
'Thurgau': {
name: 'Laboratorien',
color: '#E39E00',
data: [
['2009', 42],
['2010', 43],
['2011', 45],
['2012', 48],
['2013', 55],
['2014', 57],
['2015', 63],
['2016', 69],
['2017', 73]
]
}
},
drilldowns4 = {
'Thurgau': {
name: 'Spitex',
color: '#CD3700',
data: [
['2009', 48],
['2010', 49],
['2011', 53],
['2012', 58],
['2013', 62],
['2014', 68],
['2015', 75],
['2016', 80],
['2017', 83]
]
}
},
drilldowns5 = {
'Thurgau': {
name: 'Pflegeheime',
color: '#8B0000',
data: [
['2009', 192],
['2010', 186],
['2011', 182],
['2012', 182],
['2013', 179],
['2014', 169],
['2015', 171],
['2016', 175],
['2017', 173]
]
}
},
drilldowns6 = {
'Thurgau': {
name: 'Apotheken',
color: '#FFED00',
data: [
['2009', 119],
['2010', 121],
['2011', 126],
['2012', 136],
['2013', 141],
['2014', 145],
['2015', 159],
['2016', 178],
['2017', 188]
]
}
},
drilldowns7 = {
'Thurgau': {
name: 'Ärzte Laboranalysen',
color: '#00B4E8',
data: [
['2009', 52],
['2010', 45],
['2011', 46],
['2012', 47],
['2013', 51],
['2014', 54],
['2015', 58],
['2016', 61],
['2017', 62]
]
}
},
drilldowns8 = {
'Thurgau': {
name: 'Ärzte Medikamente',
color: '#0064e6',
data: [
['2009', 339],
['2010', 331],
['2011', 327],
['2012', 329],
['2013', 335],
['2014', 330],
['2015', 342],
['2016', 361],
['2017', 369]
]
}
},
drilldowns9 = {
'Thurgau': {
name: 'Ärzte Behandlung (ohne Labor)',
color: '#27408B',
data: [
['2009', 477],
['2010', 490],
['2011', 509],
['2012', 521],
['2013', 563],
['2014', 586],
['2015', 632],
['2016', 646],
['2017', 655]
]
}
},
drilldowns10 = {
'Thurgau': {
name: 'Spital ambulant',
color: '#a2c510',
data: [
['2009', 474],
['2010', 481],
['2011', 524],
['2012', 533],
['2013', 579],
['2014', 597],
['2015', 602],
['2016', 658],
['2017', 675]
]
}
},
drilldowns11 = {
'Thurgau': {
name: 'Spital stationär',
color: '#3CA433',
data: [
['2009', 724],
['2010', 733],
['2011', 736],
['2012', 727],
['2013', 874],
['2014', 865],
['2015', 844],
['2016', 833],
['2017', 793]
]
}
},
series = drilldowns[e.point.name],
series2 = drilldowns2[e.point.name];
series3 = drilldowns3[e.point.name];
series4 = drilldowns4[e.point.name];
series5 = drilldowns5[e.point.name];
series6 = drilldowns6[e.point.name];
series7 = drilldowns7[e.point.name];
series8 = drilldowns8[e.point.name];
series9 = drilldowns9[e.point.name];
series10 = drilldowns10[e.point.name];
series11 = drilldowns11[e.point.name];
chart.addSingleSeriesAsDrilldown(e.point, series);
chart.addSingleSeriesAsDrilldown(e.point, series2);
chart.addSingleSeriesAsDrilldown(e.point, series3);
chart.addSingleSeriesAsDrilldown(e.point, series4);
chart.addSingleSeriesAsDrilldown(e.point, series5);
chart.addSingleSeriesAsDrilldown(e.point, series6);
chart.addSingleSeriesAsDrilldown(e.point, series7);
chart.addSingleSeriesAsDrilldown(e.point, series8);
chart.addSingleSeriesAsDrilldown(e.point, series9);
chart.addSingleSeriesAsDrilldown(e.point, series10);
chart.addSingleSeriesAsDrilldown(e.point, series11);
chart.applyDrilldown();
chart.yAxis[0].update({
min: 0,
max: 4000
})
}
},
drillup(){
this.yAxis[0].update({
min: 0,
max: 100
})
}
}
};
var plotOptions = {
column: {
stacking: 'normal'
}
};
var title = {
text: "Fast die Hälfte der Kosten im Kanton Thurgau für Spitalbehandlungen",
style: {
fontSize: '18px',
},
align: 'left'
};
var subtitle = {
text: 'Struktur der Bruttokosten nach Kostengruppe, Kanton Thurgau und Schweiz, 2017, Anteile in %/CHF pro versicherte Person¹',
style: {
fontSize: '12px'
},
align: 'left'
};
var yAxis = {
gridLineWidth: 1,
title: '',
lineWidth: 1,
max: 100
};
var xAxis = {
type: 'category'
};
var tooltip = {
valueSuffix: ' CHF'
};
var series = [{
name: 'Übrige',
tooltip: {
valueSuffix: ' %'
},
color: '#878787',
data: [{
name: 'Thurgau',
y: 3.7,
drilldown: true
},{
name: 'Schweiz',
y: 3.5,
drilldown: false
}]
},{
name: 'Physiotherapie',
tooltip: {
valueSuffix: ' %'
},
color: '#B5B5B5',
data: [{
name: 'Thurgau',
y: 4.0,
drilldown: true
},{
name: 'Schweiz',
y: 3.1,
drilldown: false
}]
},{
name: 'Laboratorien',
color: '#E39E00',
tooltip: {
valueSuffix: ' %'
},
data: [{
name: 'Thurgau',
y: 2.2,
drilldown: true
},{
name: 'Schweiz',
y: 2.8,
drilldown: false
}]
},{
name: 'Spitex',
color: '#CD3700',
tooltip: {
valueSuffix: ' %'
},
data: [{
name: 'Thurgau',
y: 2.5,
drilldown: true
},{
name: 'Schweiz',
y: 2.7,
drilldown: false
}]
},{
name: 'Pflegeheime',
tooltip: {
valueSuffix: ' %'
},
color: '#8B0000',
data: [{
name: 'Thurgau',
y: 5.2,
drilldown: true
},{
name: 'Schweiz',
y: 5.7,
drilldown: false
}]
},{
name: 'Apotheken',
tooltip: {
valueSuffix: ' %'
},
color: '#FFED00',
data: [{
name: 'Thurgau',
y: 5.7,
drilldown: true
},{
name: 'Schweiz',
y: 11.8,
drilldown: false
}]
},{
name: 'Ärzte Laboranalysen',
tooltip: {
valueSuffix: ' %'
},
color: '#00B4E8',
data: [{
name: 'Thurgau',
y: 1.9,
drilldown: true
},{
name: 'Schweiz',
y: 1.7,
drilldown: false
}]
},{
name: 'Ärzte Medikamente',
tooltip: {
valueSuffix: ' %'
},
color: '#0064e6',
data: [{
name: 'Thurgau',
y: 11.1,
drilldown: true
},{
name: 'Schweiz',
y: 6.3,
drilldown: false
}]
},{
name: 'Ärzte Behandlungen (ohne Labor)',
tooltip: {
valueSuffix: ' %'
},
color: '#27408B',
data: [{
name: 'Thurgau',
y: 19.7,
drilldown: true
},{
name: 'Schweiz',
y: 22.6,
drilldown: false
}]
},{
name: 'Spital ambulant',
tooltip: {
valueSuffix: ' %'
},
color: '#a2c510',
data: [{
name: 'Thurgau',
y: 20.3,
drilldown: true
},{
name: 'Schweiz',
y: 19.1,
drilldown: false
}]
},{
name: 'Spital stationär',
tooltip: {
valueSuffix: ' %'
},
color: '#3CA433',
data: [{
name: 'Thurgau',
y: 23.8,
drilldown: true
},{
name: 'Schweiz',
y: 20.7,
drilldown: false
}]
}];
var drilldown = {
series: []
};
var legend = {
layout: 'horizontal',
align: 'center',
verticalAlign: 'bottom',
padding: 25,
symbolPadding: 10,
symbolWidth: 25,
margin: -10,
/*maxHeight: 150,*/
alignColumns: false,
reversed: false,
itemStyle: {
fontWeight: 'normal'
}
};
var credits = {
text: '<b>Hinweis: Für den Vergleich der Kostenanteile im Kanton Thurgau von 2009-2017 klicken Sie <br><b>auf den Balken oder die Balkenbeschriftung zum Thurgau<br>¹ Vergleich Thurgau-Schweiz Anteile in %, Vergleich Thurgau 2009-2017 Anteile in CHF<br>Dienststelle für Statistik Kanton Thurgau <br>Datenquellen: Bundesamt für Gesundheit, Monitoring der Krankenversicherungs-<br>Kostenentwicklung',
href: false,
style: {
color:'#999999',
cursor: false,
fontSize:'10px'
},
position: {
align: 'left',
x: 10,
y: -90
}
};
var exporting = {
allowHTML: true,
enabled: true,
filename:'2019_07_Krankenversicherungskosten_Brutto_2017',
buttons: {
contextButton: {
menuItems: "printChart separator downloadPNG downloadJPEG downloadSVG".split(" ")
}
},
/*csv: {
columnHeaderFormatter: function (item) {
if(item instanceof Highcharts.Axis) {
return 'Quartal';
} else {
if(item instanceof Highcharts.Series) {
return item.name;
}
}
}
}*/
};
var responsive = {
rules: [{
condition: {
maxWidth: 500
},
chartOptions: {
legend: {
enabled: false
}
}
}]
};
var highchartsOptions = Highcharts.setOptions ({
lang: {
decimalPoint: '.',
thousandsSep: "'",
months: ['Januar', 'Februar', 'März', 'April', 'Mai', 'Juni', 'Juli', 'August', 'September', 'Oktober', 'November', 'Dezember'],
weekdays: ['Sonntag', 'Montag', 'Dienstag', 'Mittwoch', 'Donnerstag', 'Freitag', 'Samstag'],
shortMonths: ['Jan', 'Feb', 'Mrz', 'Apr', 'Mai', 'Jun', 'Jul', 'Aug', 'Sep', 'Okt', 'Nov', 'Dez'],
contextButtonTitle: 'Drucken, Download, Export',
downloadJPEG: 'Download JPEG Bild',
downloadPNG: 'Download PNG Bild',
downloadSVG: 'Download SVG Vektor Bild',
downloadXLS: 'Download XLS',
printChart: 'Bild drucken',
viewData: 'Datentabelle ein-/ausblenden',
resetZoom: "Zoom zurücksetzen",
resetZoomTitle: "Zoom zurücksetzen",
drillUpText: "Zurück",
numericSymbols: null //otherwise by default ['k', 'M', 'G', 'T', 'P', 'E']
}
});
colors = ["#878787","#B5B5B5","#E39E00","#CD3700","#8B0000","#3CA433","#a2c510","#FFED00","#00B4E8","#0064e6","#27408B"]
var json = {};
json.chart = chart;
json.plotOptions = plotOptions;
json.title = title;
json.subtitle = subtitle;
json.yAxis = yAxis;
json.xAxis = xAxis;
json.tooltip = tooltip;
json.series = series;
json.drilldown = drilldown;
json.legend = legend;
json.credits = credits;
json.exporting = exporting;
json.responsive = responsive;
json.highchartsOptions = highchartsOptions;
json.colors = colors;
$('#2019_07_Krankenversicherungskosten_Brutto_2017').highcharts(json);
});
There is an error in IE developer tools console - you need to change JS line 230 from this:
drillup(){
into this:
drillup: function() {
and then it works fine in IE11
I am working with highmaps and have plotted the cities with map-points using lat-long for the same.
Now , I want to color particular countries say India and USA .
Is there any way to achieve the same ?
Below is my js file for plotting world map with citis mappoints with help of lat/lon
// Initiate the chart
$.getJSON("/MyProject/HighChartPhp/getMapData.php", function (data) {
// Correct UK to GB in data
$.each(data, function () {
if (this.code === 'UK') {
this.code = 'GB';
}
});
//console.log(data);
var final_array = [];
for(var i in data[0].data)
{
var map_data = {
name: data[0].name[i],
lat: data[0].lat[i],
lon: data[0].lon[i],
z: data[0].data[i],
val: data[0].loc[i],
color: data[0].color[i]
}
//console.log(map_data);
final_array[i] = map_data;
}
console.log(final_array);
Highcharts.mapChart('container', {
chart: {
borderWidth: 1,
map: 'custom/world'
},
title: {
text: 'Word Wide Data Usage'
},
subtitle: {
text: ''
},
tooltip: {
headerFormat: '',
pointFormat: '<b>{point.val}</b><br/>{point.z}'
},
legend: {
enabled: false
},
mapNavigation: {
enabled: true,
buttonOptions: {
verticalAlign: 'bottom'
}
},
series: [{
// Use the gb-all map with no data as a basemap
mapData: Highcharts.maps['custom/world'],
name: 'Basemap',
borderColor: 'green',
nullColor: 'rgba(200, 200, 200, 0.3)',
showInLegend: true
}, {
// Specify points using lat/lon
type: 'mappoint',
name: 'Cities',
//color: 'blue',
data: final_array
}]
});
});
How can I color India and US in the map ?
Tried the below , but still it is not working .
// Initiate the chart
$.getJSON("/MyProject/HighChartPhp/getMapData.php", function (data) {
// Correct UK to GB in data
$.each(data, function () {
if (this.code === 'UK') {
this.code = 'GB';
}
});
data.forEach(function(point, index) {
console.log("country="+point.country);
if (point.country === 'India' || point.country === 'United States') {
point.color = 'green';
}
});
//console.log(data);
var final_array = [];
for(var i in data[0].data)
{
var map_data = {
name: data[0].name[i],
lat: data[0].lat[i],
lon: data[0].lon[i],
z: data[0].data[i],
val: data[0].loc[i],
color: data[0].color[i],
country:data[0].country[i]
}
//console.log(map_data);
final_array[i] = map_data;
}
console.log(final_array);
Highcharts.mapChart('container', {
chart: {
borderWidth: 1,
map: 'custom/world'
},
title: {
text: 'Word Wide outsource Vendor Usage'
},
subtitle: {
text: ''
},
colorAxis: {
min: 1,
max: 1000,
type: 'logarithmic'
},
tooltip: {
headerFormat: '',
pointFormat: '<b>{point.val}</b><br/>{point.z}'
},
legend: {
enabled: false
},
mapNavigation: {
enabled: true,
buttonOptions: {
verticalAlign: 'bottom'
}
},
series: [{
// Use the gb-all map with no data as a basemap
mapData: Highcharts.maps['custom/world'],
joinBy: ['iso-a2', 'code'],
name: 'Basemap',
borderColor: 'green',
nullColor: 'rgba(200, 200, 200, 0.3)',
showInLegend: true
}, {
// Specify points using lat/lon
type: 'mappoint',
name: 'Cities',
//color: 'blue',
data: final_array
}]
});
});
Below is json data :
"name": [
"Ahemdabad",
"Atlanta",
"Bangalore",
"Bangkok",
"Buenos Aires",
"Chennai",
"Chicago",
"Cochin",
"Colombo",
"Dallas",
"Delhi",
"Hyderabad",
"Irvine",
"Irvine Dallas",
"Johannesburg",
"Kolkata",
"Kuala Lumpur",
"Lima",
"Los Angeles",
"Miami",
"Moscow",
"Mumbai",
"New Jersey",
"New York",
"Niagra",
"Philadelphia",
"Rio",
"Riyadh",
"Seattle",
"Syracuse",
"Washington Baltimore"
],
"loc": [
"Ahemdabad:India",
"Atlanta:USA",
"Bangalore:India",
"Bangkok:Thailand",
"Buenos Aires:Argentina",
"Chennai:India",
"Chicago:USA",
"Cochin:India",
"Colombo:Sri Lanka",
"Dallas:USA",
"Delhi:India",
"Hyderabad:India",
"Irvine:USA",
"Irvine Dallas:USA",
"Johannesburg:South Africa",
"Kolkata:India",
"Kuala Lumpur:Malaysia",
"Lima:Peru",
"Los Angeles:USA",
"Miami:USA",
"Moscow:Russia",
"Mumbai:India",
"New Jersey:USA",
"New York:USA",
"Niagra:USA",
"Philadelphia:USA",
"Rio:Brazil",
"Riyadh:Saudi Arabia",
"Seattle:USA",
"Syracuse:USA",
"Washington Baltimore:USA"
],
"color": [
"#FFC300",
"#EC32BF",
"#FFC300",
"#EC32BF",
"#49EC32",
"#FFC300",
"#EC3246",
"#FFC300",
"#EC32BF",
"#EC3246",
"#EC32BF",
"#FFC300",
"#EC32BF",
"#16F7EC ",
"#EC32BF",
"#FFC300",
"#EC32BF",
"#FFC300",
"#581845",
"#EC32BF",
"#EC32BF",
"#FFC300",
"#EC32BF",
"#EC32BF",
"#3A32EC",
"#EC32BF",
"#49EC32",
"#EC32BF",
"#EC32BF",
"#EC32BF",
"#EC32BF"
],
"lat": [
23.022505,
33.748995,
12.971599,
13.756331,
-34.603684,
13.08268,
41.878114,
9.931233,
6.927079,
32.776664,
28.704059,
17.385044,
33.684567,
33.684567,
-26.204103,
22.572646,
3.139003,
-12.046373,
34.052234,
25.76168,
55.755826,
19.075984,
40.058324,
40.712784,
43.082816,
39.952584,
-22.906847,
24.713552,
47.606209,
43.048122,
39.177404
],
"lon": [
72.571362,
-84.387982,
77.594563,
100.501765,
-58.381559,
80.270718,
-87.629798,
76.267304,
79.861243,
-96.796988,
77.10249,
78.486671,
-117.826505,
-117.826505,
28.047305,
88.363895,
101.686855,
-77.042754,
-118.243685,
-80.19179,
37.6173,
72.877656,
-74.405661,
-74.005941,
-79.074163,
-75.165222,
-43.172896,
46.675296,
-122.332071,
-76.147424,
-76.668392
],
"country": [
"India",
"USA",
"India",
"Thailand",
"Argentina",
"India",
"USA",
"India",
"Sri Lanka",
"USA",
"India",
"India",
"USA",
"USA",
"South Africa",
"India",
"Malaysia",
"Peru",
"USA",
"USA",
"Russia",
"India",
"USA",
"USA",
"USA",
"USA",
"Brazil",
"Saudi Arabia",
"USA",
"USA",
"USA"
]
}
You can add property to specific points from the data, before joining with mapData.
API Reference:
http://api.highcharts.com/highmaps/series%3Cmappoint%3E.data.color
Example:
http://jsfiddle.net/0Lcwn3pj/
I am looking to group a list of projects by a nested field, in this case custom_field.value when a certain id is passed in.
[{
id: 1,
name: "project one ",
custom_fields: [
{
id: 4,
name: "Year",
value: "2010"
},
{
id: 5,
name: "Priority",
value: "low"
},
]},
{
id: 2,
name: "project two ",
custom_fields: [
{
id: 4,
name: "Year",
value: "2011"
},
{
id: 5,
name: "Priority",
value: "medium"
},
]},
{
id: 3,
name: "project three ",
custom_fields: [
{
id: 4,
name: "Year",
value: "2012"
},
{
id: 5,
name: "Priority",
value: "high"
},
]}]
So if the params[:id] == 4 I want the list to be ordered by the custom_field id's corresponding value in decending order.
So in this case they would be ordered.
2012
2011
2010
Any ideas?
Is this what you are looking for? Your question is a bit unclear but I think this should suffice:
Your Original Hash:
test = [{
id: 1,
name: "project one ",
custom_fields: [
{
id: 4,
name: "Year",
value: "2010"
},
{
id: 5,
name: "Priority",
value: "low"
},
]},
{
id: 2,
name: "project two ",
custom_fields: [
{
id: 4,
name: "Year",
value: "2011"
},
{
id: 5,
name: "Priority",
value: "medium"
},
]},
{
id: 3,
name: "project three ",
custom_fields: [
{
id: 4,
name: "Year",
value: "2012"
},
{
id: 5,
name: "Priority",
value: "high"
},
]}]
Use group_by and sort(with handling for elements where there is no id found):
def group_and_sort(test_hash,id)
test_hash.group_by do |g|
elem = g[:custom_fields].detect {|h| h[:id] == id}
elem ? elem[:value] : "0"
end.sort.reverse.to_h
end
Then call like:
group_and_sort(test,4)
#=>{"2012"=>
[{:id=>3,
:name=>"project three ",
:custom_fields=>
[{:id=>4, :name=>"Year", :value=>"2012"},
{:id=>5, :name=>"Priority", :value=>"high"}]}],
"2011"=>
[{:id=>2,
:name=>"project two ",
:custom_fields=>
[{:id=>4, :name=>"Year", :value=>"2011"},
{:id=>5, :name=>"Priority", :value=>"medium"}]}],
"2010"=>
[{:id=>1,
:name=>"project one ",
:custom_fields=>
[{:id=>4, :name=>"Year", :value=>"2010"},
{:id=>5, :name=>"Priority", :value=>"low"}]}]}
Assume projects is the data you pasted.
def order_values_by_id(pjs, id)
pjs.map{|p| p[:custom_fields].find{|f| f[:id] == id}[:value] }.sort.reverse
end
order_values_by_id(projects)
#=> ["2012", "2011", "2010"]
I am facing an issue in Inline editing, I have a jqGrid with pager. If the user changes the value of three cells suppose. After editing the third cell the user clicks on the next page button of the jqGrid pager. Now when the user returns back to the first page, only the changed values of the first two cells are retained and the third is lost. Please suggest how to retain the values of all the cells..?
Sample Code:
var mydata = [{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
},{
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
name: "New York City",
country: "USA",
continent: "North America"
}, {
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
name: "Paris",
country: "France",
continent: "Europe"
}]
$("#grid").jqGrid({
data: mydata,
datatype: "local",
colNames: ["Name", "Country", "Continent"],
colModel: [{
name: 'name',
index: 'name',
editable: true,
}, {
name: 'country',
index: 'country',
editable: true,
}, {
name: 'continent',
index: 'continent',
editable: true,
}],
rowNum: 10,
pager: '#pager',
'cellEdit': true,
'cellsubmit' : 'clientArray',
editurl: 'clientArray'
});
It's wrong to use cellEdit: true if you want to use inline editing. On the other side to use inline editing you have to start inline editing, for example you can start editRow inside of onSelectRow callback (see the documentation). So the code which you posted just ignores editurl: 'clientArray' and it works like pure cell editing.
The main problem which you have is unsaved data on paging. To solve the problem you need just call explicitly saveCell method inside of onPaging callback. The parameters iRow and iCol required for saveCell you can get as the property of the standard jqGrid options (using getGridParam method). The corresponding code can be line below:
onPaging: function () {
var $self = $(this), p = $self.jqGrid("getGridParam");
$self.jqGrid("saveCell", p.iRow, p.iCol);
}
The next potential problem in your code: the data are not full. The input data should contains id property to identify every item of input data. The array of input data contains for example multiple Toronto items. It could be just a problem in your test input. The data can be displayed in the grid in sorted form, so to it will be difficult to distinguish the items. It's strictly recommended to have id property assigned. You can get the modified data later using $("#grid").jqGrid("getGridParam", "data") and compare items with original data based on the id to see which one were changed.
I suggest that you add unique id property to every item. It could be for example 1,2,3 or 10,20,30 or something like that. The corresponding modified code is below. I added some options to jqGrid too. You can run the code and verify that the problem with unsaved data during paging is solved.
var mydata = [{
id: 10,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 20,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 30,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 40,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 50,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 60,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 70,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 80,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 90,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 100,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 110,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 120,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 130,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 140,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 150,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 160,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 170,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 180,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 190,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 200,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 210,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 220,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 230,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 240,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 250,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 260,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 270,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 280,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 290,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 300,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 310,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 320,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 330,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 340,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 350,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 360,
name: "Paris",
country: "France",
continent: "Europe"
},{
id: 370,
name: "Toronto",
country: "Canada",
continent: "North America"
}, {
id: 380,
name: "New York City",
country: "USA",
continent: "North America"
}, {
id: 390,
name: "Silicon Valley",
country: "USA",
continent: "North America"
}, {
id: 400,
name: "Paris",
country: "France",
continent: "Europe"
}];
$("#grid").jqGrid({
data: mydata,
datatype: "local",
colNames: ["Name", "Country", "Continent"],
colModel: [
{ name: 'name' },
{ name: 'country' },
{ name: 'continent' }
],
cmTemplate: { editable: true },
rowNum: 10,
pager: '#pager',
cellEdit: true,
cellsubmit: 'clientArray',
rownumbers: true,
gridview: true,
autoencode: true,
height: 'auto',
onPaging: function () {
var $self = $(this), p = $self.jqGrid("getGridParam");
$self.jqGrid("saveCell", p.iRow, p.iCol);
}
});
html, body { font-size: 75%; }
.ui-jqgrid-hdiv { overflow-y: hidden; }
<link rel="stylesheet" type="text/css" href="http://ajax.googleapis.com/ajax/libs/jqueryui/1.11.2/themes/redmond/jquery-ui.css"/>
<link rel="stylesheet" type="text/css" href="http://cdnjs.cloudflare.com/ajax/libs/jqgrid/4.6.0/css/ui.jqgrid.css"/>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
<script type="text/javascript" src="http://cdnjs.cloudflare.com/ajax/libs/jqgrid/4.6.0/js/i18n/grid.locale-en.js"></script>
<script type="text/javascript">
$.jgrid.no_legacy_api = true;
$.jgrid.useJSON = true;
</script>
<script type="text/javascript" src="http://cdnjs.cloudflare.com/ajax/libs/jqgrid/4.6.0/js/jquery.jqGrid.src.js"></script>
<table id="grid"><tr><td></td></tr></table>
<div id="pager"></div>