Files
cellxgene/client/src/util/dataframe/summarize.js
T
Sidney Bell a08e19bbd0 Clip continuous values based on percentile cutoffs (#672)
* Add numeric inputs for percentiles

* Define initial values for percentile cutoffs in world reducer

* add percentil to crossfilter dimensions

* worldEqUniverse now handles cloned worlds

* add Dataframe.mapColumns

* Wire up handlers for percentile inputs

* World reducer and stateManager know about continuousPercentileMin/Max

* Create world as universe clone (not pointer) to avoid clobbering vals

* Define basic actions for setting continuousPercentileMin/Max

* Under the hood, deal with percentiles between 0 and 1

* Move percentile inputs to visualization settings menu

* Fix padding for undo/redo buttons

* Trigger world rebuild from percentile actions

* BROKEN - pseudocode for clamping dataframe by percentiles upon world rebuild

* fix error handling on clip quantiles; start world clipping implementation

* more unclipped reorg

* rename crossfilter.percentile to quantile

* simplify schema access

* update continuous legend when scale changes

* update color cache when clip changes

* clip obs annotations and var data when clip quantile changes

* use own fromEntries

* fix tests

* stable non-finite float sort/search

* clarify comments

* fix syntax typo

* use new stand-alone clip

* clip expresssion data

* add select tests for non-finite scalars

* basic styles

* clip UI now requires explicit commit

* reset enable/disable accounts for clip percentiles

* better error messages

* fix bug in undo interaction with programatic min brush selection

* small refactoring

* support clipping of int data

* do not perform unnecessary summarizations

* improve caching of dataframe compiled columns

* add percentile precompute to Dataframe.summarize

* use Dataframe.summarize for clip percentiles

* remove obsolete quantile code from corssfilter

* histogram scale and label Y axis, add unclipped X range labels

* layout tweaks

* scatterplot now updates when clip changes

* improve comments

* remove debugging comment

* rework clip number entry validation for usability

* ui tweaks to histogram colors and layout

* enable undo/redo for clip user action

* refine UI on clip value entry

* api cleanup

* update confusing comment

* clarify purpose of isValidDigitKeyEvent

* fix misleading comment

* apply appropriate button-group classes; do not mix span and div

* variable name and comment changes suggested in PR review

* rename sort to sortArray; remove unused and dead code path

* naming changes suggested in PR review

* code review improvements for clarity

* more small changes from PR review

* lint fixes for PR review

* fix spelling error

* clarify that function performs in-place modification of world

* add comment to clarify intent of range operation

* fix bad indents in comments

* clean up __columnsAccessor comments and code

* improve comments around clipPredicate

* field name consistency

* improve comment on quantiles params
2019-04-30 16:20:10 -07:00

83 lines
2.0 KiB
JavaScript

/*
Private dataframe support functions
TODO / XXX: for scalar/continuous data, this uses a naive method
of computing quantiles. Would be good to switch from sort to
partition at some point.
*/
import quantile from "../quantile";
import { sortArray } from "../typedCrossfilter/sort";
// [ 0, 0.01, 0.02, ..., 1.0]
const centileNames = new Array(101).fill(0).map((v, idx) => idx / 100);
export function summarizeContinuous(col) {
let min;
let max;
let nan = 0;
let pinf = 0;
let ninf = 0;
let percentiles;
if (col) {
// -Inf < finite < Inf < NaN
const sortedCol = sortArray(new col.constructor(col));
// count non-finites, which are at each end of sorted data
for (let i = sortedCol.length - 1; i >= 0; i -= 1) {
if (!Number.isNaN(sortedCol[i])) {
nan = sortedCol.length - i - 1;
break;
}
}
for (let i = 0, l = sortedCol.length; i < l; i += 1) {
if (sortedCol[i] !== Number.NEGATIVE_INFINITY) {
ninf = i;
break;
}
}
for (let i = sortedCol.length - nan - 1; i >= 0; i -= 1) {
if (sortedCol[i] !== Number.POSITIVE_INFINITY) {
pinf = sortedCol.length - i - nan - 1;
break;
}
}
// compute percentiles on finite data ONLY
const sortedColFiniteOnly = sortedCol.slice(
ninf,
sortedCol.length - nan - pinf
);
percentiles = quantile(centileNames, sortedColFiniteOnly, true);
min = percentiles[0];
max = percentiles[100];
}
return {
categorical: false,
min,
max,
nan,
pinf,
ninf,
percentiles
};
}
export function summarizeCategorical(col) {
const categoryCounts = new Map();
if (col) {
for (let r = 0, l = col.length; r < l; r += 1) {
const val = col[r];
let curCount = categoryCounts.get(val);
if (curCount === undefined) curCount = 0;
categoryCounts.set(val, curCount + 1);
}
}
return {
categorical: true,
categories: [...categoryCounts.keys()],
categoryCounts,
numCategories: categoryCounts.size
};
}