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load annotations incrementally (#1107)

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* load annotations individually

* fix type check to be more general

* update node CI version from 10 to 12

* node 11

* debug print node version

* travis node version to latest

* try nvm

* remove extraneous node_js statement

* remove node version debugging printf

* incrementally load all annotations and layout

* process annotations and layout as they are loaded

* fix tests

* sort categories incrementally

* incrementally build category view summary; add category loading spinner

* add spinner to continuous metadata

* configure undoable reducer

* incremental crossfilter creation

* improve busy layout

* more layout cleanup

* correctly reconcile categories in schema

* refine layout of lsb spinners

* more spinner layout work

* more spinner layout

* always load layout before obs annotations
This commit is contained in:
Bruce Martin
2020-02-10 11:22:27 -08:00
committed by GitHub
parent 1c9b9f6a08
commit e770db1e2c
25 changed files with 634 additions and 259 deletions
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24
client/src/util/dataframe/dataframe.js
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@@ -351,11 +351,26 @@ class Dataframe {
withColsFrom(dataframe) {
/*
return a new dataframe containing all columns from both `this` and the
provided dataframe.
provided of dataframe.
The row index from `this` will be used. Both dataframes must have identical
The row index from `this` will be used. All dataframes must have identical
dimensionality, and no overlapping columns labels.
Special case, if either dataframe is empty, the other is returned unchanged.
*/
if (this.isEmpty()) {
return dataframe;
}
if (dataframe.isEmpty()) {
return this;
}
this.colIndex.keys().forEach(key => {
if (dataframe.has(key)) {
throw new Error("duplicate key collision");
}
});
const dims = [this.dims[0], this.dims[1] + dataframe.dims[1]];
const { rowIndex } = this;
const columns = [...this.__columns, ...dataframe.__columns];
@@ -373,6 +388,11 @@ class Dataframe {
);
}
withColsFromAll(dataframes = []) {
dataframes = Array.isArray(dataframes) ? dataframes : [dataframes];
return dataframes.reduce((acc, df) => acc.withColsFrom(df), this);
}
dropCol(label) {
/*
Create a new dataframe, omitting one columns.