I want show empty/dummy bar chart when no data using amcharts version 4 as shown in below link using amcharts version 3.
Example with amcharts version 3
I have tried something like below, but getting error.
reChartData = am4core.create("exeChart", am4charts.XYChart);
var categoryAxis = reChartData.xAxes.push(new am4charts.CategoryAxis());
categoryAxis.dataFields.category = "";
var valueAxis = reChartData.yAxes.push(new am4charts.ValueAxis());
valueAxis.min = 0;
valueAxis.max = 100;
var dataPoint = {
dummyValue: 0
};
reChartData.data = dataPoint;
var series = reChartData.series.push(new am4charts.ColumnSeries());
series.dataFields.categoryX = "";
Error:
Error: Data fields for series "id-98" are not properly defined.
at e.validateData (charts.js:20)
at t.update (core.js:19)
at core.js:19
#GMStevents and #TonyMontana, can you please share your thoughts as you already discussed on similar issue here ?
Firstly, the error you get is because you are not defining your series dataFields. You need to specify the names of dataFields for your series. For example:
series.dataFields.categoryX = "category";
series.dataFields.valueY = "value";
Secondly, the XYChart.data is an array. You cannot assign an object.
Then to show a message on the chart when there is no data, create a container on the chart and add a label, like so:
if (!reChartData.data || reChartData.data.length === 0){
const noDataMessagecontainer = reChartData.chartContainer.createChild(am4core.Container);
noDataMessagecontainer.align = 'center';
noDataMessagecontainer.isMeasured = false;
noDataMessagecontainer.x = am4core.percent(50);
noDataMessagecontainer.horizontalCenter = 'middle';
noDataMessagecontainer.y = am4core.percent(50);
noDataMessagecontainer.verticalCenter = 'middle';
noDataMessagecontainer.layout = 'vertical';
const messageLabel = noDataMessagecontainer.createChild(am4core.Label);
messageLabel.text = 'There is no data to show on this chart.';
messageLabel.textAlign = 'middle';
messageLabel.maxWidth = 300;
messageLabel.wrap = true;
}
See sample here
Related
Landsat and MODIS products both have their advantages. Landsat with its high spatial resolution and MODIS with its high temporal resolution. I've read a lot about downloading the files and fuse them locally with algorithms like STARFM in Python for example. Is there a way to fuse both collections directly in Google Earth Engine to save computational time?
There is Google earth engine code in GitHub. The link is below:
https://github.com/MacGallagher/GEE_STARFM_FUSION
The code I copied is below:
/**** Start of imports. If edited, may not auto-convert in the playground. ****/
var l8 = ee.ImageCollection("LANDSAT/LC08/C01/T1_SR"),
modis = ee.ImageCollection("MODIS/006/MOD09GQ"),
geometry4 = /* color: #d63000 */ee.Geometry.Polygon(
[[[-116.004638671875, 42.809506838324204],
[-115.59539794921875, 42.78129125156276],
[-115.499267578125, 43.004647127794435],
[-115.499267578125, 43.28920196020127],
[-116.00189208984375, 43.35114690203121],
[-116.19415283203125, 43.07691312608711]]]),
geometry = /* color: #98ff00 */ee.Geometry.Polygon(
[[[-115.93391418457031, 43.09346209534859],
[-115.80276489257812, 43.095718426590174],
[-115.80276489257812, 43.161366298103566],
[-115.9332275390625, 43.16086543618915]]]);
/***** End of imports. If edited, may not auto-convert in the playground. *****/
// based on script by Faye Peters, University of Louisville
// modified by Megan Gallagher, Boise State University
// for code inquiries, or adjustments please email megangallagher#u.boisestate.edu
// code exists for:
// landsat 5,7, and 8 NDVI merging with MODIS Terra daily
// MODIS Terra and Sentinel-2
// Landsat pre tier and modis daily terra - works with base R code
// Landsat 8 and Sentinel-2
////////////////////////////////////////Variables//////////////////////////////////////////////
// import Landsat 8 and MODIS daily terra surface reflectance 250m
var region = geometry; //region you want to export
var bounds = geometry4 //outer bounds of image to catch boundary effect, make larger than region
var date_begin = '2016-03-02' //start date of data collection, must be a landsat image date
var date_end ='2016-10-13' // end date of data collection, must be the day AFTER last landsat image
var csv_title = '2016_Dates_BOP' //title of csv output
var ls_title = '2016_landsat' // title of landsat tif file
var mod_title = '2016_mod' // title of modis tif file
/////////////////////////////////////////Code////////////////////////////////////////////////////////////////////////
var starfm = function(modis, l8){
//Preliminary filtering of MODIS and Landsat
var filt_mod = modis.filterDate(date_begin, date_end);
var filt_l8 = l8.filterDate(date_begin, date_end)
.filterBounds(bounds);
//add bounds to subset area
var subset_bounds = bounds.transform('EPSG:4326', 30).bounds().getInfo();
// get rid of bad pixels but keep metadata date information
var removeBadObservations = function(image){
var valid_data_mask = ee.Image(image).select('pixel_qa').bitwiseAnd(2).neq(0);
var numberBandsHaveData =
image.mask().reduce(ee.Reducer.sum());
var allOrNoBandsHaveData =
numberBandsHaveData.eq(0).or(numberBandsHaveData.gte(9));
var allBandsHaveData = allOrNoBandsHaveData;
//Make sure no band is just under zero
var allBandsGT = image.reduce(ee.Reducer.min()).gt(-0.001);
var result = ee.Image(image).mask(image.mask().and(valid_data_mask).and(allBandsHaveData).and(allBandsGT));
return result.copyProperties(ee.Image(image),['system:time_start']);
};
//NDVI functions for Landsat and MODIS
var getNDVI_mod = function(image){
return image
.addBands(image.normalizedDifference(['sur_refl_b02','sur_refl_b01']).multiply(10000).rename('NDVI'));};
var getNDVI_l8= function(image){
var ndvi = ee.Image(image).normalizedDifference(['B5','B4']);
return ndvi.copyProperties(ee.Image(image),['system:time_start']);
};
var filt2_l8= filt_l8.filterBounds(subset_bounds).aside(print).map(removeBadObservations).map(getNDVI_l8);
// update mask for different areas
var subset_mask = ee.Image().byte().paint(geometry4, "id").add(1);
var filtered_modis = filt_mod.filterBounds(subset_bounds).aside(print).map(getNDVI_mod);
// Pull out the date:
var extract_modis_date = function(row) {
var d = ee.Date(row.get('system:time_start'));
var d2 = ee.Date.fromYMD(d.get('year'), d.get('month'), d.get('day'));
var result = ee.Feature(null, {'date': d2});
result = result.set({'date': d2});
return result;
};
var getQABits = function(image, start, end, newName) {
//// Compute the bits we need to extract.
var pattern = 0;
for (var i = start; i <= end; i++) {
pattern += Math.pow(2, i);
}
//// Return a single band image of the extracted QA bits, giving the band a new name.
return image.select([0], [newName])
.bitwiseAnd(pattern)
.rightShift(start); };
print(filtered_modis);
filtered_modis = filtered_modis.map(function(image){
var quality = getQABits(image.select(2), 4, 5, 'QAMask');
quality = quality.eq(3).not();
return image.clip(subset_bounds).mask(image.mask().multiply(subset_mask).multiply(quality));
});
filtered_modis = filtered_modis.select('NDVI'); //Take only NDVI band
var modis_multiband = ee.Image(filtered_modis.filterDate(date_begin, date_end).iterate( function(x, modis_multiband) {
return ee.Image(modis_multiband).addBands(ee.Image(x));
}, filtered_modis.first()));
var dates_modis = filtered_modis.map(extract_modis_date);
print(dates_modis.getInfo());
var filt2_l8_ndvi = filt2_l8.map(function(image) {
return ee.Image(image)
.clip(subset_bounds)
.mask(ee.Image(image).mask().multiply(subset_mask));
});
//use this to choose the range of days, and check for overlap
var day_expand = 1;
var reduceLandsatNDVI = function(MODISdate) {
MODISdate = ee.Date(MODISdate.get('date'));
var ndvi_subset = ee.ImageCollection(filt2_l8_ndvi).filterDate( MODISdate,
MODISdate.advance(day_expand, 'day') );
ndvi_subset = ndvi_subset.map(function (image) {
var diff = MODISdate.difference(ee.Date(ee.Image(image).get('system:time_start')), 'day').abs();
return ee.Image(image).set('diff', diff);
});
ndvi_subset = ndvi_subset.sort('diff');
var ndvi_first = ndvi_subset.reduce('first');
var ndvi_mean = ndvi_subset.reduce('mean');
return ee.Algorithms.If(
ndvi_first.bandNames(),
ndvi_first.eq(0).multiply(ndvi_mean).add(ndvi_first),
ee.Image(0)
);
};
var extract_landsat_date = function(MODISdate) {
MODISdate = ee.Date(MODISdate.get('date'));
var ndvi_subset =
ee.ImageCollection(filt2_l8_ndvi).filterDate( MODISdate,
MODISdate.advance(day_expand, 'day') );
ndvi_subset = ndvi_subset.map(function (image) {
var diff = MODISdate.difference(ee.Date(ee.Image(image).get('system:time_start')), 'day').abs();
return ee.Image(image).set('diff', diff);
});
ndvi_subset = ndvi_subset.sort('diff');
var d = ndvi_subset.aggregate_first('system:time_start');
var count = ndvi_subset.aggregate_count('system:time_start');
d = ee.Algorithms.If(
ee.Number(count).gt(0),
ee.Date(d),
ee.Date('1971-01-01')
);
d = ee.Date(d);
var d2 = ee.Date.fromYMD(d.get('year'), d.get('month'),
d.get('day'));
var result = ee.Feature(null, {'LSdate': d2, 'MODISdate':
MODISdate, 'CountLSScenes': count});
result = result.set({'LSdate': d2, 'MODISdate': MODISdate,
'CountLSScenes': count});
return result;
};
var ls_collection = dates_modis.map(reduceLandsatNDVI);
print(ls_collection,'ls collection');
var dates_landsat = dates_modis.map(extract_landsat_date);
Export.table(dates_landsat, csv_title);
var ls_multiband = ls_collection.iterate( function(x,
ls_multiband)
{ return ee.Image(ls_multiband).addBands(ee.Image(x));
}, ls_collection.first());
ls_multiband = ee.Image(ls_multiband).multiply(10000).int16();
ls_multiband = ls_multiband.mask(ls_multiband.mask().multiply(ls_multiband.neq(0)));
//remove repeated first layer
var ls_multiband2=ee.Image(ls_multiband.slice(1))
var modis_multiband2=ee.Image(modis_multiband.slice(1))
Export.image.toDrive({
image: modis_multiband2,
description: mod_title,
crs:'EPSG:4326 ',
region:region,
scale:30
});
Export.image.toDrive({
image: ls_multiband2,
description: ls_title,
crs:'EPSG:4326',
region:region,
scale:30
});
return 'Done!'
}
var running = starfm(modis,l8)
print(running)
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////
I have a amChart4 XYChart loaded from a CSV external file.
How to mark the max values on a serie, max values are known when writing the file. So just need to mark the data points with a bullet.
var maxNm = 404.24;
var maxHP = 327.7;
Se code with working chart loaded from CSV.
https://codepen.io/lasse-kofoed/pen/WNbNXxe
// Themes begin
am4core.useTheme(am4themes_material);
am4core.useTheme(am4themes_animated);
// Themes end
// Create chart instance
var chart = am4core.create("chartdiv", am4charts.XYChart);
chart.responsive.enabled = true;
// Set up data source
chart.dataSource.url = "https://master.tus.io/files/a6bfda6a8051313c0c0b1d7129a75786+DB7aQwWVBca.GAK4H6FLamUT58549Asv6vLoR9kEJySMEVOsFlCSi9eqzgMYLhqXdMJDZoTE0C90HuVUUKD7KoKdFjlM0f1IRkkQ0L5X6iykr8kSsyNWTtPkcmzIFwDp";
chart.dataSource.parser = new am4core.CSVParser();
chart.dataSource.parser.options.useColumnNames = true;
// Increase contrast by taking evey second color
chart.colors.step = 2;
chart.dataSource.events.on("error", function (ev) {
console.log("Oopsy! Something went wrong");
});
// Create value axis
var valueAxis = chart.yAxes.push(new am4charts.ValueAxis());
valueAxis.tooltip.disabled = true;
valueAxis.title.text = "Power & Torque";
var categoryAxis = chart.xAxes.push(new am4charts.CategoryAxis());
categoryAxis.dataFields.category = "Rpm";
// Create serie Nm
var nm = chart.series.push(new am4charts.LineSeries());
var maxNm = 404.24;
nm.dataFields.valueY = "Nm";
nm.dataFields.categoryX = "Rpm";
nm.yAxis = valueAxis;
nm.name = "Nm";
nm.strokeWidth = 1;
//nm.tensionX = 0.7;
nm.tooltipText = "{valueY.value} Nm";
var hp = chart.series.push(new am4charts.LineSeries());
var maxHP = 327.7;
hp.dataFields.valueY = "Hp";
hp.dataFields.categoryX = "Rpm";
hp.yAxis = valueAxis;
hp.name = "Hp";
hp.strokeWidth = 1;
//hp.tensionX = 0.7;
hp.tooltipText = "{valueY.value} Hp";
// Add legend
chart.legend = new am4charts.Legend();
// Add cursor
chart.cursor = new am4charts.XYCursor();
Updated a CodePen with the result.
https://codepen.io/lasse-kofoed/pen/eYmprPR
Found that using the event beforedatavalidated you can alter the data and set a field to false.
And then set propertyFields.disabled = true on a bullet object ( hides all bullets )
and .propertyFields.disabled to the field name that was added to the data list item ( show on bullets on values that have the field set to false )
chart.series.values[0].dataItem.values.valueY
Also found that the max and min values can be found here, but is not using that information in the example
// Add max Torque bullet
var maxTorque = nm.bullets.push(new am4charts.CircleBullet());
maxTorque.disabled = true;
maxTorque.propertyFields.disabled = "maxTorque";
maxTorque.radius = 8;
maxTorque.strokeWidth = 2;
maxTorque.stroke = am4core.color("#fff");
var maxTorqueLabel = nm.bullets.push(new am4charts.LabelBullet());
maxTorqueLabel.label.text = "Max torque\n[bold]{valueY} {name}#{categoryX}[/]";
maxTorqueLabel.disabled = true;
maxTorqueLabel.propertyFields.disabled = "maxTorque";
maxTorqueLabel.label.dy = -30;
// Add max Power bullet
var maxPower = hp.bullets.push(new am4charts.CircleBullet());
maxPower.disabled = true;
maxPower.propertyFields.disabled = "maxPower";
var maxPowerLabel = hp.bullets.push(new am4charts.LabelBullet());
maxPowerLabel.label.text = "Max power\n[bold]{valueY} {name}#{categoryX}[/]";
maxPowerLabel.disabled = true;
maxPowerLabel.propertyFields.disabled = "maxPower";
maxPowerLabel.label.dy = -30;
chart.events.on("beforedatavalidated", function(ev) {
var maxT = chart.data.find(x => x.Rpm === "5221");
var maxP = chart.data.find(x=> x.Rpm === "5888");
if(typeof maxT !== "undefined")
{
maxT.maxTorque = false;
}
if(typeof maxP !== "undefined")
{
maxP.maxPower = false;
}
});
I want to remove Lines from amcharts maps dynamically. I can add lines dynamically but not able to remove it dynamically
var chart = am4core.create("chartdiv", am4maps.MapChart);
chart.geodata = am4geodata_worldLow;
chart.projection = new am4maps.projections.Miller();
var markerPoints = [];
// Create map polygon series
var polygonSeries = chart.series.push(new am4maps.MapPolygonSeries());
polygonSeries.useGeodata = true;
polygonSeries.mapPolygons.template.fill = chart.colors.getIndex(0).lighten(0.5);
polygonSeries.mapPolygons.template.nonScalingStroke = true;
polygonSeries.exclude = ["AQ"];
var points = chart.series.push(new am4maps.MapImageSeries());
points.mapImages.template.nonScaling = true;
var marker = points.mapImages.template.createChild(am4core.Circle);
marker.radius = 1;
marker.fill = am4core.color("yellow");
marker.strokeWidth = 0;
marker.stroke = am4core.color("yellow");
marker.tooltipText = '{title}';
points.mapImages.template.propertyFields.latitude = "latitude";
points.mapImages.template.propertyFields.longitude = "longitude";
function addPoint(coords, title) { // this is function to add points on map
var marker = points.mapImages.create();
marker.latitude = coords.latitude;
marker.longitude = coords.longitude;
return marker;
}
var paris = addPoint({ "latitude": 48.8567, "longitude": 2.3510 }, "Paris");
var toronto = addPoint({ "latitude": 43.8163, "longitude": -79.4287 }, "Toronto");
var lineSeries = chart.series.push(new am4maps.MapArcSeries());
lineSeries.mapLines.template.line.strokeWidth = 2;
lineSeries.mapLines.template.line.strokeOpamarker = 0.5;
lineSeries.mapLines.template.line.stroke = marker.fill;
lineSeries.mapLines.template.line.nonScalingStroke = true;
lineSeries.mapLines.template.line.strokeDasharray = "1,5";
function addLine(from, to) {
var line = lineSeries.mapLines.create();
line.imagesToConnect = [from, to];
line.line.controlPointDistance = -0.3;
return line;
}
addLine(paris, toronto);
setInterval(function(){
addLine(somePoint,somePoint);
removeLine()//how to implement this one
},1000);
I want to implement a function or line of code that remove those lines which has already drawn inside setInterval ..
for bullets var bulletAttack = bullet.createChild(am4core.Sprite); I use:
bullet.hide();
bullet.kill();
maybe it will help you.
try below command before adding new line and it will fix your issue.
lineSeries.mapLines.removeIndex(0)
Good evening,
I found an example on Amcharts 2 but I get a weird error with the property "stackable"
It doesn't stack properly if I add the property on different column. I tried differents options but none works. Someone know how to fix it please?
// second graph
graph = new AmCharts.AmGraph();
graph.title = "North America";
graph.labelText = "[[value]]";
graph.valueField = "namerica";
graph.type = "column";
graph.lineAlpha = 0;
graph.fillAlphas = 1;
graph.lineColor = "#D8E0BD";
chart.addGraph(graph);
// third graph
graph = new AmCharts.AmGraph();
graph.title = "Asia-Pacific";
graph.labelText = "[[value]]";
graph.valueField = "asia";
graph.type = "column";
graph.lineAlpha = 0;
graph.fillAlphas = 1;
graph.lineColor = "#B3DBD4";
graph.stackable = false;
chart.addGraph(graph);
Link : Jsfiddle
There are two issues:
1) You're using the v2.x version of AmCharts in your demo. You want to use v3.x is under lib/3/, i.e. //www.amcharts.com/lib/3/amcharts.js and //www.amcharts.com/lib/3/serial.js.
2) As the demo you linked states below the graph, you need to set newStack to true if you want to create a new stack. Setting stackable to false won't work.
// third graph
graph = new AmCharts.AmGraph();
graph.title = "Asia-Pacific";
graph.labelText = "[[value]]";
graph.valueField = "asia";
graph.type = "column";
graph.lineAlpha = 0;
graph.fillAlphas = 1;
graph.lineColor = "#B3DBD4";
graph.newStack = true; //create new stack
chart.addGraph(graph);
Updated fiddle
How can i show a polynomial tread line in Am-line chart. I'm getting a straight trend line here, i need a polynomial trend line. My javascript code is shown below. Please someone help me to solve this issue.
function GenChartData() {
var data1 = [0.234761158, 0.23816127, 0.263960124, 0.282558558, 0.300607979, 0.318197719, 0.316059534, 0.319133276, 0.322505238, 0.323926338, 0.323720379, 0.3203703, 0.318837626, 0.318380371, 0.321465339, 0.316398839, 0.310238176, 0.301206892, 0.278454166, 0.268778255, 0.250299958, 0.23754735, 0.216277621, 0.182483871, 0.152057602, 0.129372542, 0.079524595, 0.044074801, 0.007279248, -0.021369877, -0.022801251, -0.043247196, -0.060677351, -0.055932729, -0.055847788, -0.032625365, -0.027289726, -0.022615401, -0.010850169, 0.015833104, 0.043923065, 0.055500831, 0.048043121, 0.054154849, 0.064038257, 0.049914887, 0.046542406, 0.03154397, 0.033614909, 0.030570225, 0.035606699, 0.001179461, -0.028934007, -0.019034206, 2.30344E-05];
var dates = ["12/31/2001", "1/31/2002", "2/28/2002", "3/31/2002", "4/30/2002", "5/31/2002", "6/30/2002", "7/31/2002", "8/31/2002", "9/30/2002", "10/31/2002", "11/30/2002", "12/31/2002", "1/31/2003", "2/28/2003", "3/31/2003", "4/30/2003", "5/31/2003", "6/30/2003", "7/31/2003", "8/31/2003", "9/30/2003", "10/31/2003", "11/30/2003", "12/31/2003", "1/31/2004", "2/29/2004", "3/31/2004", "4/30/2004", "5/31/2004", "6/30/2004", "7/31/2004", "8/31/2004", "9/30/2004", "10/31/2004", "11/30/2004", "12/31/2004", "1/31/2005", "2/28/2005", "3/31/2005", "4/30/2005", "5/31/2005", "6/30/2005", "7/31/2005", "8/31/2005", "9/30/2005", "10/31/2005", "11/30/2005", "12/31/2005", "1/31/2006", "2/28/2006", "3/31/2006", "4/30/2006", "5/31/2006", "6/30/2006"];
for (var i = 0; i < dates.length; i++) {
chartData.push({
date: new Date(dates[i]),
data1: data1[i]});
}
}
AmCharts.ready(function () {
// SERIAL CHART
GenChartData();
chart = new AmCharts.AmSerialChart();
chart.pathToImages = "JS/AmFiles/amcharts/images/";
chart.marginTop = 0;
chart.marginRight = 10;
chart.autoMarginOffset = 5;
//chart.backgroundColor = "#CCCCC";
chart.zoomOutButton = {
backgroundColor: '#000000',
backgroundAlpha: 0.15
};
chart.dataProvider = chartData;
chart.categoryField = "date";
// listen for "dataUpdated" event (fired when chart is rendered) and call zoomChart method when it happens
chart.addListener("dataUpdated", zoomChart);
// AXES
// category
var categoryAxis = chart.categoryAxis;
categoryAxis.parseDates = true; // as our data is date-based, we set parseDates to true
categoryAxis.minPeriod = "MM"; // our data is daily, so we set minPeriod to DD
categoryAxis.dashLength = 1;
categoryAxis.gridAlpha = 0.15;
categoryAxis.axisColor = "#DADADA";
categoryAxis.labelFrequency = 1;
categoryAxis.equalSpacing = true;
// value
var valueAxis = new AmCharts.ValueAxis();
valueAxis.axisAlpha = 0.2;
valueAxis.dashLength = 1;
chart.addValueAxis(valueAxis);
graph = new AmCharts.AmGraph();
graph.type = "smoothedLine";
graph.lineColor = "#180ad1";
graph.negativeLineColor = "#180ad1";
graph.bullet = "round";
graph.bulletSize = 5;
graph.lineThickness = 2;
graph.valueField = "data1";
chart.addGraph(graph);
// CURSOR
chartCursor = new AmCharts.ChartCursor();
chartCursor.cursorPosition = "mouse";
chart.addChartCursor(chartCursor);
// TREND LINES
// first trend line
var trendLine = new AmCharts.TrendLine();
trendLine.initialDate = new Date(chartData[0].date); // 12 is hour - to start trend line in the middle of the day
trendLine.finalDate = new Date(chartData[chartData.length-1].date);
trendLine.initialValue = 0.234761158;
trendLine.finalValue = 2.30344E-05;
trendLine.lineColor = "#CC0000";
chart.addTrendLine(trendLine);
// WRITE
chart.write("chartdiv");
});
Thanks for your help
You would need to basically have another graphline on there rather than a trendline.
You can look at this example - http://www.amcharts.com/javascript-charts/line-with-different-bullet-sizes/
to see how to equip multiple data graphs.