d3-array - npm Package Compare versions

Comparing version 2.5.0 to 2.5.1

dist/d3-array.js

@@ -1,2 +0,2 @@
-// https://d3js.org/d3-array/ v2.5.0 Copyright 2020 Mike Bostock
+// https://d3js.org/d3-array/ v2.5.1 Copyright 2020 Mike Bostock
 (function (global, factory) {
@@ -176,3 +176,3 @@ typeof exports === 'object' && typeof module !== 'undefined' ? factory(exports) :
   constructor() {
-    this._partials = new Float64Array(32).fill(0);
+    this._partials = new Float64Array(32);
     this._n = 0;
@@ -321,4 +321,4 @@ }
     step = -step;
-    start = Math.floor(start * step);
-    stop = Math.ceil(stop * step);
+    start = Math.ceil(start * step);
+    stop = Math.floor(stop * step);
     ticks = new Array(n = Math.ceil(stop - start + 1));
@@ -325,0 +325,0 @@ while (++i < n) ticks[i] = (start + i) / step;

dist/d3-array.min.js

@@ -1,2 +0,2 @@
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+// https://d3js.org/d3-array/ v2.5.1 Copyright 2020 Mike Bostock
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package.json

 {
   "name": "d3-array",
-  "version": "2.5.0",
+  "version": "2.5.1",
   "description": "Array manipulation, ordering, searching, summarizing, etc.",
@@ -5,0 +5,0 @@ "keywords": [

README.md

@@ -133,3 +133,3 @@ # d3-array
 
-<a name="fsum" href="#fsum">#</a> d3.<b>fsum</b>([<i>values</i>][, <i>accessor</i>]) · [Source](https://github.com/d3/d3-array/blob/master/src/fsum.js)<!-- , [Examples](https://observablehq.com/@d3/d3-fsum) -->
+<a name="fsum" href="#fsum">#</a> d3.<b>fsum</b>([<i>values</i>][, <i>accessor</i>]) · [Source](https://github.com/d3/d3-array/blob/master/src/fsum.js), [Examples](https://observablehq.com/@d3/d3-fsum)
 
@@ -619,3 +619,3 @@ Returns an full precision sum.
 
-These functions are typically not used directly; instead, pass them to [*bin*.thresholds](#bin_thresholds). You may also implement your own threshold generator taking three arguments: the array of input [*values*](#bin_value) derived from the data, and the [observable domain](#bin_domain) represented as *min* and *max*. The generator may then return either the array of numeric thresholds or the *count* of bins; in the latter case the domain is divided uniformly into approximately *count* bins; see [ticks](#ticks).
+These functions are typically not used directly; instead, pass them to [*bin*.thresholds](#bin_thresholds).
 
@@ -633,1 +633,5 @@ <a name="thresholdFreedmanDiaconis" href="#thresholdFreedmanDiaconis">#</a> d3.<b>thresholdFreedmanDiaconis</b>(<i>values</i>, <i>min</i>, <i>max</i>) · [Source](https://github.com/d3/d3-array/blob/master/src/threshold/freedmanDiaconis.js), [Examples](https://observablehq.com/@d3/d3-bin)
 Returns the number of bins according to [Sturges’ formula](https://en.wikipedia.org/wiki/Histogram#Mathematical_definition); the input *values* must be numbers.
+
+You may also implement your own threshold generator taking three arguments: the array of input [*values*](#bin_value) derived from the data, and the [observable domain](#bin_domain) represented as *min* and *max*. The generator may then return either the array of numeric thresholds or the *count* of bins; in the latter case the domain is divided uniformly into approximately *count* bins; see [ticks](#ticks).
+
+For instance, when binning date values, you might want to use the ticks from a time scale ([Example](https://observablehq.com/@d3/d3-bin-time-thresholds)).

src/fsum.js

 // https://github.com/python/cpython/blob/a74eea238f5baba15797e2e8b570d153bc8690a7/Modules/mathmodule.c#L1423
 export class Adder {
   constructor() {
-    this._partials = new Float64Array(32).fill(0);
+    this._partials = new Float64Array(32);
     this._n = 0;
@@ -6,0 +6,0 @@ }

src/ticks.js

@@ -24,4 +24,4 @@ var e10 = Math.sqrt(50),
     step = -step;
-    start = Math.floor(start * step);
-    stop = Math.ceil(stop * step);
+    start = Math.ceil(start * step);
+    stop = Math.floor(stop * step);
     ticks = new Array(n = Math.ceil(stop - start + 1));
@@ -28,0 +28,0 @@ while (++i < n) ticks[i] = (start + i) / step;

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