Related
I am loading data from the file that contain the time stamp and temperature reading.
Difference between two data can be same or some time it can be a month or so.
Can we update the x axis scale so it min and max value matches the data received.
call back function of the zoom plug in is
let timer;
function update_chart({ chart }) {
clearTimeout(timer);
timer = setTimeout(() => {
var { min, max } = chart.scales.x;
// console.log(min);
// console.log(max);
console.log("Min Location: ", chart.scales.x2.min);
console.log("Max Location: ", chart.scales.x2.max);
var file_min = chart.scales.x2.min;
var file_max = chart.scales.x2.max;
file_min = makeCorrection(file_min);
file_max = makeCorrection(file_max);
console.log("Zoom level", chart.getZoomLevel());
var total_sample = (file_max - file_min) / 116;
console.log("Totoal samples: ", total_sample);
var offset = (total_sample / 50) * 116;
offset = makeCorrection(offset);
console.log("Offfset: ", offset);
var xhttp = new XMLHttpRequest();
xhttp.onreadystatechange = function () {
if (this.readyState == 4 && this.status == 200) {
var x = [], y1 = [], y2 = [], y3 = [], y4 = [], y5 = [], y6 = [], y7 = [], y8 = [], y9 = [], y10 = [];
var tex = this.responseText;
if (tex[0] == ">") {
window.alert(tex);
}
else {
dataray = tex.split('\n');
//console.log(dataray);
dataray.forEach(element => {
dat = element.split(';');
if (dat.length > 5) {
x.push(dat[0]);
y1.push(dat[1]);
y2.push(dat[2]);
y3.push(dat[3]);
y4.push(dat[4]);
y5.push(dat[5]);
y6.push(dat[6]);
y7.push(dat[7]);
y8.push(dat[8]);
y9.push(dat[9]);
y10.push(dat[10]);
}
});
if (x.length > 10)
{
myLineChart.data.labels = x;
myLineChart.data.datasets[0].data = y1;
myLineChart.data.datasets[1].data = y2;
myLineChart.data.datasets[2].data = y3;
myLineChart.data.datasets[3].data = y4;
myLineChart.data.datasets[4].data = y5;
myLineChart.data.datasets[5].data = y6;
myLineChart.data.datasets[6].data = y7;
myLineChart.data.datasets[7].data = y8;
myLineChart.data.datasets[8].data = y9;
myLineChart.data.datasets[9].data = y10;
myLineChart.stop();
myLineChart.update('none');
}
else
{
console.log("Not enoguh data to plot.....");
}
}
}
};
xhttp.open("GET", "/getfile?s=" + file_min + "&e=" + file_max + "&ge=" + offset, true);
xhttp.send();
}, 100);
}
when chart load it looks like this
enter image description here
after zooming in it looks like this
enter image description here
I am working on an application with Django. There in this application, I am first using Django to create a database with points and extract a JSON file (It is called "markers.json"). Then, using this JSON file, I am creating markers on a map with Leaflet. When I finished entering all the points to the database they will be around 5000 thousand. So, I decided that it is a good idea to be able to search this markers with an input tag and a search button. I enter the "site_name" as input and when I click the "search" button the related marker should popup. However, always the same marker pops up and I don't know where I am doing wrong.
Could you please help me on that?
HTML PART
<input type="text" id="mast_find" name="mastName" placeholder="Search or masts...">
<button type="submit" id="mast_button">Search</button>
JAVASCRIPT PART
var streets = L.tileLayer( 'http://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
attribution: '© OpenStreetMap',
subdomains: ['a', 'b', 'c']
}),
esri = L.tileLayer('https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}', {
attribution: 'Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community'
}),
topo = L.tileLayer('https://{s}.tile.opentopomap.org/{z}/{x}/{y}.png', {
maxZoom: 17,
attribution: 'Map data: © OpenStreetMap, SRTM | Map style: © OpenTopoMap (CC-BY-SA)'
});
var map = L.map( 'map', {
center: [20.0, 5.0],
minZoom: 2,
zoom: 2,
layers: [streets, esri, topo]
})
var baseMaps = {
"Streets": streets,
"Esri": esri,
"Topo": topo
};
$('.leaflet-control-attribution').hide()
L.control.scale().addTo(map);
L.control.layers(baseMaps).addTo(map);
var myURL = jQuery( 'script[src$="leaf.js"]' ).attr( 'src' ).replace( 'leaf.js', '' )
var myIcon = L.icon({
iconUrl: myURL + '/images/pin24.png',
iconRetinaUrl: myURL + '/images/pin48.png',
iconSize: [29, 24],
iconAnchor: [9, 21],
popupAnchor: [0, -14]
})
for ( var i=0; i < markers.length; ++i )
{
var deneme = [];
var meleme = L.marker( [markers[i].fields.latitude, markers[i].fields.longitude], {icon: myIcon} )
.bindPopup( "<b>" + "Mast name: " + "</b>" + markers[i].fields.site_name + "<b>" + "<br>" + "A: " + "</b>" + markers[i].fields.a_measured_height_lt + "<br>" + "<b>" + "k: " + "</b>" + markers[i].fields.k_measured_height_lt )
.addTo( map );
deneme.push(meleme);
document.getElementById("mast_button").onclick = mastFunct;
function mastFunct(){
var data = document.getElementById("mast_find");
for (var i=0; i < markers.length; ++i ){
var markerID = markers[i].fields.site_name;
if (markerID = data.value){
deneme[i].openPopup()
}
}
};
if (markerID = data.value){
should be
if (markerID == data.value){
the only issue that i see is this with the if (markerID = data.value){.
But you can try this alternative:
instead your for-loop:
map.eachLayer(function(marker){
if(marker.options){
var markerID = marker.options.site_name;
if (markerID == data.value){
marker.openPopup();
}
}
});
and add this to your marker creation:
L.marker([51.493782, -0.089951],{icon: myIcon, site_name: 'test'}).addTo(map)
In my Django application I'm creating a csv file. When I try to use that file with a D3.js boilerplate it can't find the csv file?
I've tried moving where the csv file is to the root and into it's own folder but it doesn't do anything different
{% extends "lm_test/base.html" %}
{% block content %}
<meta charset="utf-8">
<style>
svg {
font: 10px sans-serif;
}
.y.axis path {
display: none;
}
.y.axis line {
stroke: #fff;
stroke-opacity: .2;
shape-rendering: crispEdges;
}
.y.axis .zero line {
stroke: #000;
stroke-opacity: 1;
}
.title {
font: 300 78px Helvetica Neue;
fill: #666;
}
.birthyear,
.age {
text-anchor: middle;
}
.birthyear {
fill: #fff;
}
rect {
fill-opacity: .6;
fill: #e377c2;
}
rect:first-child {
fill: #1f77b4;
}
</style>
<body>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 40, bottom: 30, left: 20},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom,
barWidth = Math.floor(width / 19) - 1;
var x = d3.scale.linear()
.range([barWidth / 2, width - barWidth / 2]);
var y = d3.scale.linear()
.range([height, 0]);
var yAxis = d3.svg.axis()
.scale(y)
.orient("right")
.tickSize(-width)
.tickFormat(function(d) { return Math.round(d / 1e6) + "M"; });
// An SVG element with a bottom-right origin.
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// A sliding container to hold the bars by birthyear.
var birthyears = svg.append("g")
.attr("class", "birthyears");
// A label for the current year.
var title = svg.append("text")
.attr("class", "title")
.attr("dy", ".71em")
.text(2000);
d3.csv("../temp.csv", function(error, data) {
// Convert strings to numbers.
data.forEach(function(d) {
d.people = +d.people;
d.year = +d.year;
d.age = +d.age;
});
// Compute the extent of the data set in age and years.
var age1 = d3.max(data, function(d) { return d.age; }),
year0 = d3.min(data, function(d) { return d.year; }),
year1 = d3.max(data, function(d) { return d.year; }),
year = year1;
// Update the scale domains.
x.domain([year1 - age1, year1]);
y.domain([0, d3.max(data, function(d) { return d.people; })]);
// Produce a map from year and birthyear to [male, female].
data = d3.nest()
.key(function(d) { return d.year; })
.key(function(d) { return d.year - d.age; })
.rollup(function(v) { return v.map(function(d) { return d.people; }); })
.map(data);
// Add an axis to show the population values.
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + width + ",0)")
.call(yAxis)
.selectAll("g")
.filter(function(value) { return !value; })
.classed("zero", true);
// Add labeled rects for each birthyear (so that no enter or exit is required).
var birthyear = birthyears.selectAll(".birthyear")
.data(d3.range(year0 - age1, year1 + 1, 5))
.enter().append("g")
.attr("class", "birthyear")
.attr("transform", function(birthyear) { return "translate(" + x(birthyear) + ",0)"; });
birthyear.selectAll("rect")
.data(function(birthyear) { return data[year][birthyear] || [0, 0]; })
.enter().append("rect")
.attr("x", -barWidth / 2)
.attr("width", barWidth)
.attr("y", y)
.attr("height", function(value) { return height - y(value); });
// Add labels to show birthyear.
birthyear.append("text")
.attr("y", height - 4)
.text(function(birthyear) { return birthyear; });
// Add labels to show age (separate; not animated).
svg.selectAll(".age")
.data(d3.range(0, age1 + 1, 5))
.enter().append("text")
.attr("class", "age")
.attr("x", function(age) { return x(year - age); })
.attr("y", height + 4)
.attr("dy", ".71em")
.text(function(age) { return age; });
// Allow the arrow keys to change the displayed year.
window.focus();
d3.select(window).on("keydown", function() {
switch (d3.event.keyCode) {
case 37: year = Math.max(year0, year - 10); break;
case 39: year = Math.min(year1, year + 10); break;
}
update();
});
function update() {
if (!(year in data)) return;
title.text(year);
birthyears.transition()
.duration(750)
.attr("transform", "translate(" + (x(year1) - x(year)) + ",0)");
birthyear.selectAll("rect")
.data(function(birthyear) { return data[year][birthyear] || [0, 0]; })
.transition()
.duration(750)
.attr("y", y)
.attr("height", function(value) { return height - y(value); });
}
});
</script>
{% endblock content %}
The view is:
def results(request):
disease = request.GET.get('disease_name')
year_from = int(request.GET.get('year_from'))
year_to = int(request.GET.get('year_to'))
if year_from < year_to:
years = range(year_from, year_to, +1)
else:
years = range(year_from, year_to, -1)
Entrez.email = "chrisgbeldam#gmail.com" #Required by NCBI
results_file = open('temp.csv', 'w') #Open csv file
result_writer = csv.writer(results_file, delimiter=',')
result_writer.writerow(['Year', 'Number Of Results'])
for year in years: #Checks the number of results for each year and then loops
handle = Entrez.esearch(
db="pubmed",
sort="relevance",
term=disease,
mindate=year,
maxdate=year,
retmode="xml",
)
results = Entrez.read(handle)
results_count = results['Count'] # Total number of results for the search
results_yearly = print(f"Number of papers in {year} is {results_count}")
handle.close() #Close E Search
result_writer.writerow([year,results_count]) # Writes out the results to csv file
results_file.close()
context = {
'disease': disease,
'year': year,
'results': results,
'results_count': results_count,
'results_file': results_file,
}
return render(request, 'lm_test/results.html', context)
I expect the outcome to be that D3 can see my temp.csv file but it refuses to and gives me a 'Failed to load resource: the server responded with a status of 404 (Not Found)' error and also a Uncaught TypeError: Cannot read property 'forEach' of undefined
at Object. (?csrfmiddlewaretoken=4I4wgoSynXQX6FyeSsDJWgNnjH6CgQyoZ0U7pvJV0D8vEBRynwYSalwrCZPjtw7v&disease_name=Cancer&year_from=2016&year_to=2000&submit=:117)
at Object.t (d3.v3.min.js:1)
at XMLHttpRequest.i (d3.v3.min.js:1)' error
Seem to work properly after closing and rerunning the virtual environment! Odd
I am trying to implement a drill in or drill down in a pie chart. I actually have a working drill down pie chart, however, when I changed the values of the collection, it did not work. I am wondering what went wrong as I completely followed the working code and just replaced its values. The chart simply does not show up and has an error: Uncaught Error: Unknown header type: 17format+en,default+en,ui+en,controls+en,corechart+en.I.js:191. I am not sure though whether this error is related to the problem.
Javascript:
google.load('visualization', '1', {packages: ['corechart', 'controls']});
google.setOnLoadCallback(drawChart1);
var index = 0;
function drawChart1() {
<%
int aku = 0, cdu = 0, ls = 0, ptr = 0, rad = 0, oper = 0;
int aku1 = 0, aku2 = 0, aku3 = 0, aku4 = 0, aku5 = 0;
int cdu1 = 0, cdu2 = 0, cdu3 = 0, cdu4 = 0, cdu5 = 0, cdu6 = 0;
int ls1 = 0, ls2 = 0, ls3 = 0, ls4 = 0, ls5 = 0, ls6 = 0, ls7 = 0, ls8 = 0, ls9 = 0, ls10 = 0;
int ptr1 = 0, ptr2 = 0, ptr3 = 0, ptr4 = 0;
int rad1 = 0, rad2 = 0, rad3 = 0;
int oper1 = 0;
%> //Dummy values
//Main
var main = [
['Artificial Kidney Unit', <%=aku%>],
['Cardiac Diagnostic Unit', <%=cdu%>],
['Laboratory Services', <%=ls%>],
['Physical Therapy and Rehabilitation', <%=ptr%>],
['Radiology', <%=rad%>],
['Operations', <%=oper%>]
];
//Aku
var akuu = [
['Hemodialysis', <%=aku1%>],
['Peritoneal Dialysis', <%=aku2%>],
['Continuous Renal Replacement Therapy', <%=aku3%>],
['Sustained Low Efficient Dialysis', <%=aku4%>],
['Private Dialysis Suite', <%=aku5%>]
];
//Cdu
var cduu = [
['Electrocardiography', <%=cdu1%>],
['Ambulatory Electrocardiography', <%=cdu2%>],
['Exercise Stress Test', <%=cdu3%>],
['2D Echo', <%=cdu4%>],
['Lower Extremity Arterial & Venous Color Duplex Scan', <%=cdu5%>],
['Carotid Artery Duplex Scan', <%=cdu6%>]
];
//Ls
var lss = [
['Hematology', <%=ls1%>],
['Blood Chemistry', <%=ls2%>],
['Immunology and Serology', <%=ls3%>],
['Clinical Microscopy', <%=ls4%>],
['Microbiology', <%=ls5%>],
['Blood Bank and Transfusion Services', <%=ls6%>],
['Drug Testing', <%=ls7%>],
['Parasitology', <%=ls8%>],
['Surgical Pathology', <%=ls9%>],
['Cytopathology', <%=ls10%>]
];
//Ptr
var ptrr = [
['Physical Therapy', <%=ptr1%>],
['Occupational Therapy', <%=ptr2%>],
['Ultrasound Diagnostic Therapy', <%=ptr3%>],
['Orthotics and Prosthetic Evaluation', <%=ptr4%>]
];
//rad
var radd = [
['X-ray', <%=rad1%>],
['Ultrasound', <%=rad2%>],
['CT Scan', <%=rad3%>]
];
//oper
var operr = [
['Surgery', <%=oper1%>]
];
var collection = [];
collection[0] = google.visualization.arrayToDataTable(main);
collection[1] = google.visualization.arrayToDataTable(akuu);
collection[2] = google.visualization.arrayToDataTable(cduu);
collection[3] = google.visualization.arrayToDataTable(lss);
collection[4] = google.visualization.arrayToDataTable(ptrr);
collection[5] = google.visualization.arrayToDataTable(radd);
collection[6] = google.visualization.arrayToDataTable(operr);
var options1 = {
title: 'Departments',
animation: {'duration': 500,
'easing': 'in'},
action: function() {
button.onclick = function() {
recreateDashboard(0);
};
}
};
var chart1 = new google.visualization.PieChart(document.getElementById('chart1'));
google.visualization.events.addListener(chart1, 'select', drillIn);
google.visualization.events.addListener(chart1, 'click', drillOut);
chart1.draw(collection[0], options1);
function drillIn() {
var sel = chart1.getSelection();
var row = chart1.getSelection()[0].row;
options1['title'] = collection[index].getValue(sel[0].row, 0);
if(index === 0) {
if(row === 0) {
index = 1;
}
if(row === 1) {
index = 2;
}
if(row === 2) {
index = 3;
}
if(row === 3) {
index = 4;
}
if(row === 4) {
index = 5;
}
if(row === 5) {
index = 6;
}
}
else if(index === 1 || index === 2 || index === 3 || index === 4 || index === 5 || index === 6) {
options1['title'] = '# of services rendered in <%=year%>';
index = 0;
}
chart1.draw(collection[index], options1);
}
function drillOut(e) {
if(e.targetID === "title") {
if(index !== 0)
index--;
else if(index === 4 || index === 6 || index === 8)
index -= 2;
chart1.draw(collection[index], options1);
}
}
Html:
<div id="chart1">
</div>
I have figured out the mistake. All of these need a title before inputting the values.
Revised code:
//Main
var main = [
['Department', 'Value'],
['Cardiac Diagnostic Unit', <%=cdu%>],
['Laboratory Services', <%=ls%>],
['Physical Therapy and Rehabilitation', <%=ptr%>],
['Radiology', <%=rad%>],
['Operations', <%=oper%>]
];
//Aku
var akuu = [
['Service', 'Value'],
['Hemodialysis', <%=aku1%>],
['Peritoneal Dialysis', <%=aku2%>],
['Continuous Renal Replacement Therapy', <%=aku3%>],
['Sustained Low Efficient Dialysis', <%=aku4%>],
['Private Dialysis Suite', <%=aku5%>]
];
//Cdu
var cduu = [
['Service', 'Value'],
['Electrocardiography', <%=cdu1%>],
['Ambulatory Electrocardiography', <%=cdu2%>],
['Exercise Stress Test', <%=cdu3%>],
['2D Echo', <%=cdu4%>],
['Lower Extremity Arterial & Venous Color Duplex Scan', <%=cdu5%>],
['Carotid Artery Duplex Scan', <%=cdu6%>]
];
//Ls
var lss = [
['Service', 'Value'],
['Hematology', <%=ls1%>],
['Blood Chemistry', <%=ls2%>],
['Immunology and Serology', <%=ls3%>],
['Clinical Microscopy', <%=ls4%>],
['Microbiology', <%=ls5%>],
['Blood Bank and Transfusion Services', <%=ls6%>],
['Drug Testing', <%=ls7%>],
['Parasitology', <%=ls8%>],
['Surgical Pathology', <%=ls9%>],
['Cytopathology', <%=ls10%>]
];
//Ptr
var ptrr = [
['Service', 'Value'],
['Physical Therapy', <%=ptr1%>],
['Occupational Therapy', <%=ptr2%>],
['Ultrasound Diagnostic Therapy', <%=ptr3%>],
['Orthotics and Prosthetic Evaluation', <%=ptr4%>]
];
//rad
var radd = [
['Service', 'Value'],
['X-ray', <%=rad1%>],
['Ultrasound', <%=rad2%>],
['CT Scan', <%=rad3%>]
];
//oper
var operr = [
['Service', 'Value'],
['Surgery', <%=oper1%>]
];
I'm trying to build a countdown with Famous Timer.
As a first step, I want to make a scrolling digit, so I made 3 digits which are doing the needed animation and now I need to show only the middle one.
I saw the clipSize option, but couldn't understand how to use it.
If there are some other way to do it, that's great too.
My app is here: http://slexy.org/view/s2R8VNhgEO
Thanks, Alex A.
Rather than fix your code, I wrote an example of how you can create the effect you are looking for with the Lightbox render controller and clipping the view to only show the current count down index. Of course, this can be improved as needed.
Example of the working code in jsBin: Just click to start the counter.
Main Context
var mainContext = Engine.createContext();
var cview = new CountdownView({
start: 10,
size: [50, 50]
});
var counter = 0;
var started = false;
var funcRef;
cview.on('click', function () {
if (started) {
Timer.clear(funcRef);
started = false;
} else {
started = true;
funcRef = Timer.setInterval(function(){
console.log('setNext ' + cview.nextIndex);
cview.setNext();
},1000);
}
});
var container = new ContainerSurface({
size: [100, 100],
properties: {
overflow: 'hidden'
}
});
container.add(cview);
mainContext.add(container);
CountdownView
function CountdownView(options) {
View.apply(this, arguments);
this.options.start = options.start || 10;
this.surfaces = [];
for (var i = 0; i <= this.options.start; i++) {
var surface = new Surface({
size: this.options.size,
content: i.toString(),
properties: {
backgroundColor: "hsl(" + (i * 360 / 40) + ", 100%, 50%)",
lineHeight: this.options.size[1]+"px",
textAlign: "center",
fontSize: "30px",
cursor:'pointer'
}
});
this.surfaces.push(surface);
surface.pipe(this._eventOutput);
}
this.renderer = new Lightbox({
inOpacity: 0,
outOpacity: 0,
inOrigin: [1, 1],
inAlign: [1, 1],
showOrigin: [0, 0],
inTransform: Transform.translate(0,0,0.0002),
outTransform: Transform.translate(0,this.options.size[1],0.0001),
outOrigin: [1,1],
outAlign: [1,1],
inTransition: { duration: 600, curve: Easing.inCirc },
outTransition: { duration: 1000, curve: Easing.outCirc },
overlap: true
});
this.add(this.renderer);
this.renderer.show(this.surfaces[this.options.start]);
this.nextIndex = this.options.start - 1;
}
CountdownView.prototype = Object.create(View.prototype);
CountdownView.prototype.constructor = CountdownView;
CountdownView.prototype.setNext = function setNext() {
this.renderer.show(this.surfaces[this.nextIndex]);
this.nextIndex = (this.nextIndex -1 < 0) ? this.options.start : this.nextIndex - 1;
};
CountdownView.prototype.setIndex = function setIndex(newIndex) {
if (newIndex < 0 || newIndex > this.countStart) return;
this.renderer.show(this.surfaces[newIndex]);
};
CountdownView.prototype.getLength = function getLength() {
return this.surfaces.length;
};