Dataframe (#576)

* initial dataframe commit

* initial dataframe port of core app

* rename variables for clarity

* remove unused import

* comment out unused code

* fix array handling bug in crossfilter dimension creation

* allow creation of empty dataframes

* handle non-existent columns

* handle non-existent columns

* revise tests for new dataframe

* comments for clarity

* comments for clarity

* generate bulk add placeholder with real gene names

* fix bug in gene name adding

* more dataframe unit tests

* fix bug - subset from current world, not universe

* put cut and pasted code into a single function

* improve caching of crossfilter

* remove cascading update bug from graph

* more performance work

* improve state handling for scatterplot

* performance optimization of critical path

* add column summarization

* dataframe utils

* add callOnceLazy

* fix tests

* minor updates found during review

* fix misspelling

* remove RESTv02 from function names

* comment cleanup

* cut/icut col parameter defaults to null

* break up large test

* improve tests and comments on dataframe at/has functions
This commit is contained in:
Bruce Martin
2019-02-22 11:31:34 -08:00
committed by GitHub
parent 57c4e9ff33
commit 6b33315cbe
29 changed files with 1798 additions and 611 deletions
+57
View File
@@ -0,0 +1,57 @@
/*
Private dataframe support functions
*/
export function summarizeContinuous(col) {
let min;
let max;
let nan = 0;
let pinf = 0;
let ninf = 0;
if (col) {
for (let r = 0, l = col.length; r < l; r += 1) {
const val = Number(col[r]);
if (Number.isFinite(val)) {
if (min === undefined) {
min = val;
max = val;
} else {
min = val < min ? val : min;
max = val > max ? val : max;
}
} else if (Number.isNaN(val)) {
nan += 1;
} else if (val > 0) {
pinf += 1;
} else {
ninf += 1;
}
}
}
return {
categorical: false,
min,
max,
nan,
pinf,
ninf
};
}
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
};
}