Site updated at 2015-08-01 03:27:38 UTC

Author: chriddyp

2015/04/09/2d-histogram-scatter.html

@@ -1,11 +1,7 @@
-// Learn about API authentication here: https://plot.ly/nodejs/getting-started
-// Find your api_key here: https://plot.ly/settings/api
-
 var x0 = [];
 var y0 = [];
 var x1 = [];
 var y1 = [];
-
 for (var i = 0; i < 500; i ++) {
 	x0[i] = Math.random() / 5 * 0.5;
 	y0[i] = Math.random() / 5 * 0.5;
@@ -19,35 +15,30 @@
 var x = [x0, x1]
 var y = [y0, y1]
 
-require('plotly')(username, api_key);
-
 var trace1 = {
-  x: x0,
-  y: y0,
-  mode: "markers",
+  x: x0, 
+  y: y0, 
+  mode: "markers", 
   marker: {
-    symbol: "circle",
+    symbol: "circle", 
     opacity: 0.7
-  },
+  }, 
   type: "scatter"
 };
 var trace2 = {
-  x: x1,
-  y: y1,
-  mode: "markers",
+  x: x1, 
+  y: y1, 
+  mode: "markers", 
   marker: {
-    symbol: "square",
+    symbol: "square", 
     opacity: 0.7
-  },
+  }, 
   type: "scatter"
 };
 var trace3 = {
-  x: x,
-  y: y,
+  x: x, 
+  y: y, 
   type: "histogram2d"
 };
 var data = [trace1, trace2, trace3];
-var graphOptions = {filename: "2d-histogram-scatter", fileopt: "overwrite"};
-plotly.plot(data, graphOptions, function (err, msg) {
-    console.log(msg);
-});
+Plotly.plot("myDiv", data);

2015/04/09/2d-histogram.html

@@ -1,18 +1,14 @@
-# Learn about API authentication here: https://plot.ly/julia/getting-started
-# Find your api_key here: https://plot.ly/settings/api
-
-using Plotly
-
-x = randn(500)
-y = randn(500)+1
-
-
-data = [
-  [
-    "x" => x,
-    "y" => y,
-    "type" => "histogram2d"
-  ]
-]
-response = Plotly.plot(data, ["filename" => "2d-histogram", "fileopt" => "overwrite"])
-plot_url = response["url"]
+% Learn about API authentication here: https://plot.ly/matlab/getting-started
+% Find your api_key here: https://plot.ly/settings/api
+
+x = randn(500,1);
+y = randn(500,1)+1;
+
+data = {...
+  struct(...
+    'x', x, ...
+    'y', y, ...
+    'type', 'histogram2d')...
+};
+response = plotly(data, struct('filename', '2d-histogram', 'fileopt', 'overwrite'));
+plot_url = response.url

2015/04/09/2dhistogram-contour-subplots.html

@@ -1,77 +1,95 @@
-# Learn about API authentication here: https://plot.ly/r/getting-started
-# Find your api_key here: https://plot.ly/settings/api
+// from http://bl.ocks.org/mbostock/4349187
+// Sample from a normal distribution with mean 0, stddev 1.
+function normal() {
+    var x = 0,
+        y = 0,
+        rds, c;
+    do {
+        x = Math.random() * 2 - 1;
+        y = Math.random() * 2 - 1;
+        rds = x * x + y * y;
+    } while (rds == 0 || rds > 1);
+    c = Math.sqrt(-2 * Math.log(rds) / rds); // Box-Muller transform
+    return x * c; // throw away extra sample y * c
+}
 
-library(plotly)
+var N = 2000, 
+	a = -1,
+	b = 1.2;
 
-t = seq(-1, 1.2, length=2000)
-x = t^3+0.3*rnorm(2000)
-y = t^6+0.3*rnorm(2000)
+var step = (b - a) / (N - 1);
+var t = new Array(N), x = new Array(N), y = new Array(N);
 
-trace1 <- list(
-  x = x,
-  y = y,
-  mode = "markers",
-  name = "points",
-  marker = list(
-    color = "rgb(102,0,0)",
-    size = 2,
-    opacity = 0.4
-  ),
-  type = "scatter"
-)
-trace2 <- list(
-  x = x,
-  y = y,
-  name = "density",
-  ncontours = 20,
-  colorscale = "Hot",
-  reversescale = TRUE,
-  showscale = FALSE,
-  type = "histogram2dcontour"
-)
-trace3 <- list(
-  x = x,
-  name = "x density",
-  marker = list(color = "rgb(102,0,0)"),
-  yaxis = "y2",
-  type = "histogram"
-)
-trace4 <- list(
-  y = y,
-  name = "y density",
-  marker = list(color = "rgb(102,0,0)"),
-  xaxis = "x2",
-  type = "histogram"
-)
-data <- list(trace1, trace2, trace3, trace4)
-layout <- list(
-  showlegend = FALSE,
-  autosize = FALSE,
-  width = 600,
-  height = 550,
-  xaxis = list(
-    domain = c(0, 0.85),
-    showgrid = FALSE,
-    zeroline = FALSE
-  ),
-  yaxis = list(
-    domain = c(0, 0.85),
-    showgrid = FALSE,
-    zeroline = FALSE
-  ),
-  margin = list(t = 50),
-  hovermode = "closest",
-  bargap = 0,
-  xaxis2 = list(
-    domain = c(0.85, 1),
-    showgrid = FALSE,
-    zeroline = FALSE
-  ),
-  yaxis2 = list(
-    domain = c(0.85, 1),
-    showgrid = FALSE,
-    zeroline = FALSE
-  )
-)
-response <- py$plotly(data, kwargs=list(layout=layout, filename="2dhistogram-contour-subplots", fileopt="overwrite"))
-url <- response$url
+for(var i = 0; i < N; i++){
+	t[i] = a + step * i;
+	x[i] = (Math.pow(t[i], 3)) + (0.3 * normal() );
+	y[i] = (Math.pow(t[i], 6)) + (0.3 * normal() ); 
+} 
+
+var trace1 = {
+	x: x, 
+	y: y, 
+	mode: "markers", 
+	name: "points", 
+	marker: {
+		color: "rgb(102,0,0)", 
+		size: 2, 
+		opacity: 0.4
+	}, 
+	type: "scatter"
+};
+var trace2 = {
+	x: x, 
+	y: y, 
+	name: "density", 
+	ncontours: 20, 
+	colorscale: "Hot", 
+	reversescale: true, 
+	showscale: false, 
+	type: "histogram2dcontour"
+};
+var trace3 = {
+	x: x, 
+	name: "x density", 
+	marker: {color: "rgb(102,0,0)"}, 
+	yaxis: "y2", 
+	type: "histogram"
+};
+var trace4 = {
+	y: y, 
+	name: "y density", 
+	marker: {color: "rgb(102,0,0)"}, 
+	xaxis: "x2", 
+	type: "histogram"
+};
+var data = [trace1, trace2, trace3, trace4];
+var layout = {
+	showlegend: false, 
+	autosize: false, 
+	width: 600, 
+	height: 550, 
+	margin: {t: 50}, 
+	hovermode: "closest", 
+	bargap: 0, 
+	xaxis: {
+		domain: [0, 0.85], 
+		showgrid: false, 
+		zeroline: false
+	}, 
+	yaxis: {
+		domain: [0, 0.85], 
+		showgrid: false, 
+		zeroline: false
+	}, 
+	xaxis2: {
+		domain: [0.85, 1], 
+		showgrid: false, 
+		zeroline: false
+	}, 
+	yaxis2: {
+		domain: [0.85, 1], 
+		showgrid: false, 
+		zeroline: false
+	}
+};
+Plotly.plot("myDiv", data, layout);