react-pivottable
react-pivottable
is a React-based pivot table library with drag'n'drop
functionality. It is a React port of the jQuery-based
PivotTable.js by the same author.
react-pivottable
is part of Plotly's React Component Suite for building data visualization Web apps and products.
What does it do & where is the demo?
react-pivottable
's function is to enable data exploration and analysis by
summarizing a data set into table or Plotly.js
chart with a true 2-d drag'n'drop UI, very similar to the one found in older
versions of Microsoft Excel.
A live demo can be found here.
How can I use it in my project?
Drag'n'drop UI with Table output only
Installation is via NPM and has a peer dependency on React:
npm install --save react-pivottable react react-dom
Basic usage is as follows. Note that PivotTableUI
is a "dumb component" that
maintains essentially no state of its own.
;;;; // see documentation for supported input formatsconst data = 'attribute' 'attribute2' 'value1' 'value2'; Component { superprops; thisstate = props; } { return <PivotTableUI data=data onChange= this ...thisstate /> ; } ReactDOM;
Drag'n'drop UI with Plotly charts as well as Table output
The Plotly react-plotly.js
component can be passed in via dependency
injection. It has a peer dependency on plotly.js
.
Important: If you build your project using webpack, you'll have to follow
these instructions
in order to successfully bundle plotly.js
. See below for how to avoid having
to bundle plotly.js
.
npm install --save react-pivottable react-plotly.js plotly.js react react-dom
To add the Plotly renderers to your app, you can use the following pattern:
;;;;;; // create Plotly renderers via dependency injectionconst PlotlyRenderers = ; // see documentation for supported input formatsconst data = 'attribute' 'attribute2' 'value1' 'value2'; Component { superprops; thisstate = props; } { return <PivotTableUI data=data onChange= this renderers=Object ...thisstate /> ; } ReactDOM;
plotly.js
With external If you would rather not install and bundle plotly.js
but rather get it into
your app via something like <script>
tag, you can ignore react-plotly.js
'
peer-dependcy warning and handle the dependency injection like this:
;;;;;; // create Plotly React component via dependency injectionconst Plot = ; // create Plotly renderers via dependency injectionconst PlotlyRenderers = ; // see documentation for supported input formatsconst data = 'attribute' 'attribute2' 'value1' 'value2'; Component { superprops; thisstate = props; } { return <PivotTableUI data=data onChange= this renderers=Object ...thisstate /> ; } ReactDOM;
Properties and layered architecture
<PivotTableUI {...props} />
<PivotTable {...props} />
<Renderer {...props} />
PivotData(props)
The interactive component provided by react-pivottable
is PivotTableUI
, but
output rendering is delegated to the non-interactive PivotTable
component,
which accepts a subset of its properties. PivotTable
can be invoked directly
and is useful for outputting non-interactive saved snapshots of PivotTableUI
configurations. PivotTable
in turn delegates to a specific renderer component,
such as the default TableRenderer
, which accepts a subset of the same
properties. Finally, most renderers will create non-React PivotData
object to
handle the actual computations, which also accepts a subset of the same props as
the rest of the stack.
Here is a table of the properties accepted by this stack, including an indication of which layer consumes each, from the bottom up:
Layer | Key & Type | Default Value | Description |
---|---|---|---|
PivotData |
data see below for formats |
(none, required) | data to be summarized |
PivotData |
rows array of strings |
[] |
attribute names to prepopulate in row area |
PivotData |
cols array of strings |
[] |
attribute names to prepopulate in cols area |
PivotData |
vals array of strings |
[] |
attribute names used as arguments to aggregator (gets passed to aggregator generating function) |
PivotData |
aggregators object of functions |
aggregators from Utilites |
dictionary of generators for aggregation functions in dropdown (see original PivotTable.js documentation) |
PivotData |
aggregatorName string |
first key in aggregators |
key to aggregators object specifying the aggregator to use for computations |
PivotData |
valueFilter object of arrays of strings |
{} |
object whose keys are attribute names and values are objects of attribute value-boolean pairs which denote records to include or exclude from computation and rendering; used to prepopulate the filter menus that appear on double-click |
PivotData |
sorters object or function |
{} |
accessed or called with an attribute name and can return a function which can be used as an argument to array.sort for output purposes. If no function is returned, the default sorting mechanism is a built-in "natural sort" implementation. Useful for sorting attributes like month names, see original PivotTable.js example 1 and original PivotTable.js example 2. |
PivotData |
rowOrder string |
"key_a_to_z" |
the order in which row data is provided to the renderer, must be one of "key_a_to_z" , "value_a_to_z" , "value_z_to_a" , ordering by value orders by row total |
PivotData |
colOrder string |
"key_a_to_z" |
the order in which column data is provided to the renderer, must be one of "key_a_to_z" , "value_a_to_z" , "value_z_to_a" , ordering by value orders by column total |
PivotData |
derivedAttributes object of functions |
{} |
defines derived attributes (see original PivotTable.js documentation) |
Renderer |
<any> |
(none, optional) | Renderers may accept any additional properties |
PivotTable |
renderers object of functions |
TableRenderers |
dictionary of renderer components |
PivotTable |
rendererName string |
first key in renderers |
key to renderers object specifying the renderer to use |
PivotTableUI |
onChange function |
(none, required) | function called every time anything changes in the UI, with the new value of the properties needed to render the new state. This function must be hooked into a state-management system in order for the "dumb" PivotTableUI component to work. |
PivotTableUI |
hiddenAttributes array of strings |
[] |
contains attribute names to omit from the UI |
PivotTableUI |
hiddenFromAggregators array of strings |
[] |
contains attribute names to omit from the aggregator arguments dropdowns |
PivotTableUI |
hiddenFromDragDrop array of strings |
[] |
contains attribute names to omit from the drag'n'drop portion of the UI |
PivotTableUI |
menuLimit integer |
500 | maximum number of values to list in the double-click menu |
PivotTableUI |
unusedOrientationCutoff integer |
85 | If the attributes' names' combined length in characters exceeds this value then the unused attributes area will be shown vertically to the left of the UI instead of horizontally above it. 0 therefore means 'always vertical', and Infinity means 'always horizontal'. |
data
Accepted formats for Arrays of objects
One object per record, the object's keys are the attribute names.
Note: missing attributes or attributes with a value of null
are treated as
if the value was the string "null"
.
const data = attr1: 'value1_attr1' attr2: 'value1_attr2' //... attr1: 'value2_attr1' attr2: 'value2_attr2' //... //...;
Arrays of arrays
One sub-array per record, the first sub-array contains the attribute names. If
subsequent sub-arrays are shorter than the first one, the trailing values are
treated as if they contained the string value "null"
. If subsequent sub-arrays
are longer than the first one, excess values are ignored. This format is
compatible with the output of CSV parsing libraries like PapaParse.
const data = 'attr1' 'attr2' 'value1_attr1' 'value1_attr2' 'value2_attr1' 'value2_attr2' //...;
Functions that call back
The function will be called with a callback that takes an object as a parameter.
Note: missing attributes or attributes with a value of null
are treated as
if the value was the string "null"
.
const data = { ;