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/** * @license Data plugin for Highcharts * * (c) 2012-2013 Torstein Hønsi * Last revision 2013-06-07 * * License: www.highcharts.com/license */
/* * The Highcharts Data plugin is a utility to ease parsing of input sources like * CSV, HTML tables or grid views into basic configuration options for use * directly in the Highcharts constructor. * * Demo: http://jsfiddle.net/highcharts/SnLFj/
* * --- OPTIONS --- * * - columns : Array<Array<Mixed>> * A two-dimensional array representing the input data on tabular form. This input can * be used when the data is already parsed, for example from a grid view component. * Each cell can be a string or number. If not switchRowsAndColumns is set, the columns * are interpreted as series. See also the rows option. * * - complete : Function(chartOptions) * The callback that is evaluated when the data is finished loading, optionally from an * external source, and parsed. The first argument passed is a finished chart options * object, containing series and an xAxis with categories if applicable. Thise options * can be extended with additional options and passed directly to the chart constructor. * * - csv : String * A comma delimited string to be parsed. Related options are startRow, endRow, startColumn * and endColumn to delimit what part of the table is used. The lineDelimiter and * itemDelimiter options define the CSV delimiter formats. * * - endColumn : Integer * In tabular input data, the first row (indexed by 0) to use. Defaults to the last * column containing data. * * - endRow : Integer * In tabular input data, the last row (indexed by 0) to use. Defaults to the last row * containing data. * * - googleSpreadsheetKey : String * A Google Spreadsheet key. See https://developers.google.com/gdata/samples/spreadsheet_sample
* for general information on GS. * * - googleSpreadsheetWorksheet : String * The Google Spreadsheet worksheet. The available id's can be read from * https://spreadsheets.google.com/feeds/worksheets/{key}/public/basic
* * - itemDelimiter : String * Item or cell delimiter for parsing CSV. Defaults to ",". * * - lineDelimiter : String * Line delimiter for parsing CSV. Defaults to "\n". * * - parsed : Function * A callback function to access the parsed columns, the two-dimentional input data * array directly, before they are interpreted into series data and categories. * * - parseDate : Function * A callback function to parse string representations of dates into JavaScript timestamps. * Return an integer on success. * * - rows : Array<Array<Mixed>> * The same as the columns input option, but defining rows intead of columns. * * - startColumn : Integer * In tabular input data, the first column (indexed by 0) to use. * * - startRow : Integer * In tabular input data, the first row (indexed by 0) to use. * * - table : String|HTMLElement * A HTML table or the id of such to be parsed as input data. Related options ara startRow, * endRow, startColumn and endColumn to delimit what part of the table is used. */
// JSLint options:
/*global jQuery */
(function (Highcharts) { // Utilities
var each = Highcharts.each;
// The Data constructor
var Data = function (dataOptions, chartOptions) { this.init(dataOptions, chartOptions); };
// Set the prototype properties
Highcharts.extend(Data.prototype, { /** * Initialize the Data object with the given options */ init: function (options, chartOptions) { this.options = options; this.chartOptions = chartOptions; this.columns = options.columns || this.rowsToColumns(options.rows) || [];
// No need to parse or interpret anything
if (this.columns.length) { this.dataFound();
// Parse and interpret
} else { // Parse a CSV string if options.csv is given
this.parseCSV();
// Parse a HTML table if options.table is given
this.parseTable();
// Parse a Google Spreadsheet
this.parseGoogleSpreadsheet(); } },
/** * Get the column distribution. For example, a line series takes a single column for * Y values. A range series takes two columns for low and high values respectively, * and an OHLC series takes four columns. */ getColumnDistribution: function () { var chartOptions = this.chartOptions, getValueCount = function (type) { return (Highcharts.seriesTypes[type || 'line'].prototype.pointArrayMap || [0]).length; }, globalType = chartOptions && chartOptions.chart && chartOptions.chart.type, individualCounts = [];
each((chartOptions && chartOptions.series) || [], function (series) { individualCounts.push(getValueCount(series.type || globalType)); });
this.valueCount = { global: getValueCount(globalType), individual: individualCounts }; },
dataFound: function () { // Interpret the values into right types
this.parseTypes();
// Use first row for series names?
this.findHeaderRow();
// Handle columns if a handleColumns callback is given
this.parsed();
// Complete if a complete callback is given
this.complete(); },
/** * Parse a CSV input string */ parseCSV: function () { var self = this, options = this.options, csv = options.csv, columns = this.columns, startRow = options.startRow || 0, endRow = options.endRow || Number.MAX_VALUE, startColumn = options.startColumn || 0, endColumn = options.endColumn || Number.MAX_VALUE, lines, activeRowNo = 0;
if (csv) { lines = csv .replace(/\r\n/g, "\n") // Unix
.replace(/\r/g, "\n") // Mac
.split(options.lineDelimiter || "\n");
each(lines, function (line, rowNo) { var trimmed = self.trim(line), isComment = trimmed.indexOf('#') === 0, isBlank = trimmed === '', items;
if (rowNo >= startRow && rowNo <= endRow && !isComment && !isBlank) { items = line.split(options.itemDelimiter || ','); each(items, function (item, colNo) { if (colNo >= startColumn && colNo <= endColumn) { if (!columns[colNo - startColumn]) { columns[colNo - startColumn] = []; }
columns[colNo - startColumn][activeRowNo] = item; } }); activeRowNo += 1; } });
this.dataFound(); } },
/** * Parse a HTML table */ parseTable: function () { var options = this.options, table = options.table, columns = this.columns, startRow = options.startRow || 0, endRow = options.endRow || Number.MAX_VALUE, startColumn = options.startColumn || 0, endColumn = options.endColumn || Number.MAX_VALUE, colNo;
if (table) { if (typeof table === 'string') { table = document.getElementById(table); }
each(table.getElementsByTagName('tr'), function (tr, rowNo) { colNo = 0; if (rowNo >= startRow && rowNo <= endRow) { each(tr.childNodes, function (item) { if ((item.tagName === 'TD' || item.tagName === 'TH') && colNo >= startColumn && colNo <= endColumn) { if (!columns[colNo]) { columns[colNo] = []; } columns[colNo][rowNo - startRow] = item.innerHTML;
colNo += 1; } }); } });
this.dataFound(); // continue
} },
/** * TODO: * - switchRowsAndColumns */ parseGoogleSpreadsheet: function () { var self = this, options = this.options, googleSpreadsheetKey = options.googleSpreadsheetKey, columns = this.columns, startRow = options.startRow || 0, endRow = options.endRow || Number.MAX_VALUE, startColumn = options.startColumn || 0, endColumn = options.endColumn || Number.MAX_VALUE, gr, // google row
gc; // google column
if (googleSpreadsheetKey) { jQuery.getJSON('https://spreadsheets.google.com/feeds/cells/' + googleSpreadsheetKey + '/' + (options.googleSpreadsheetWorksheet || 'od6') + '/public/values?alt=json-in-script&callback=?', function (json) { // Prepare the data from the spreadsheat
var cells = json.feed.entry, cell, cellCount = cells.length, colCount = 0, rowCount = 0, i;
// First, find the total number of columns and rows that
// are actually filled with data
for (i = 0; i < cellCount; i++) { cell = cells[i]; colCount = Math.max(colCount, cell.gs$cell.col); rowCount = Math.max(rowCount, cell.gs$cell.row); }
// Set up arrays containing the column data
for (i = 0; i < colCount; i++) { if (i >= startColumn && i <= endColumn) { // Create new columns with the length of either end-start or rowCount
columns[i - startColumn] = [];
// Setting the length to avoid jslint warning
columns[i - startColumn].length = Math.min(rowCount, endRow - startRow); } }
// Loop over the cells and assign the value to the right
// place in the column arrays
for (i = 0; i < cellCount; i++) { cell = cells[i]; gr = cell.gs$cell.row - 1; // rows start at 1
gc = cell.gs$cell.col - 1; // columns start at 1
// If both row and col falls inside start and end
// set the transposed cell value in the newly created columns
if (gc >= startColumn && gc <= endColumn && gr >= startRow && gr <= endRow) { columns[gc - startColumn][gr - startRow] = cell.content.$t; } } self.dataFound(); }); } },
/** * Find the header row. For now, we just check whether the first row contains * numbers or strings. Later we could loop down and find the first row with * numbers. */ findHeaderRow: function () { var headerRow = 0; each(this.columns, function (column) { if (typeof column[0] !== 'string') { headerRow = null; } }); this.headerRow = 0; },
/** * Trim a string from whitespace */ trim: function (str) { return typeof str === 'string' ? str.replace(/^\s+|\s+$/g, '') : str; },
/** * Parse numeric cells in to number types and date types in to true dates. * @param {Object} columns */ parseTypes: function () { var columns = this.columns, col = columns.length, row, val, floatVal, trimVal, dateVal;
while (col--) { row = columns[col].length; while (row--) { val = columns[col][row]; floatVal = parseFloat(val); trimVal = this.trim(val);
/*jslint eqeq: true*/ if (trimVal == floatVal) { // is numeric
/*jslint eqeq: false*/ columns[col][row] = floatVal;
// If the number is greater than milliseconds in a year, assume datetime
if (floatVal > 365 * 24 * 3600 * 1000) { columns[col].isDatetime = true; } else { columns[col].isNumeric = true; } } else { // string, continue to determine if it is a date string or really a string
dateVal = this.parseDate(val);
if (col === 0 && typeof dateVal === 'number' && !isNaN(dateVal)) { // is date
columns[col][row] = dateVal; columns[col].isDatetime = true; } else { // string
columns[col][row] = trimVal === '' ? null : trimVal; } } } } }, //*
dateFormats: { 'YYYY-mm-dd': { regex: '^([0-9]{4})-([0-9]{2})-([0-9]{2})$', parser: function (match) { return Date.UTC(+match[1], match[2] - 1, +match[3]); } } }, // */
/** * Parse a date and return it as a number. Overridable through options.parseDate. */ parseDate: function (val) { var parseDate = this.options.parseDate, ret, key, format, match;
if (parseDate) { ret = parseDate(val); }
if (typeof val === 'string') { for (key in this.dateFormats) { format = this.dateFormats[key]; match = val.match(format.regex); if (match) { ret = format.parser(match); } } } return ret; },
/** * Reorganize rows into columns */ rowsToColumns: function (rows) { var row, rowsLength, col, colsLength, columns;
if (rows) { columns = []; rowsLength = rows.length; for (row = 0; row < rowsLength; row++) { colsLength = rows[row].length; for (col = 0; col < colsLength; col++) { if (!columns[col]) { columns[col] = []; } columns[col][row] = rows[row][col]; } } } return columns; },
/** * A hook for working directly on the parsed columns */ parsed: function () { if (this.options.parsed) { this.options.parsed.call(this, this.columns); } },
/** * If a complete callback function is provided in the options, interpret the * columns into a Highcharts options object. */ complete: function () { var columns = this.columns, firstCol, type, options = this.options, valueCount, series, data, i, j, seriesIndex;
if (options.complete) { this.getColumnDistribution();
// Use first column for X data or categories?
if (columns.length > 1) { firstCol = columns.shift(); if (this.headerRow === 0) { firstCol.shift(); // remove the first cell
}
if (firstCol.isDatetime) { type = 'datetime'; } else if (!firstCol.isNumeric) { type = 'category'; } }
// Get the names and shift the top row
for (i = 0; i < columns.length; i++) { if (this.headerRow === 0) { columns[i].name = columns[i].shift(); } }
// Use the next columns for series
series = []; for (i = 0, seriesIndex = 0; i < columns.length; seriesIndex++) { // This series' value count
valueCount = Highcharts.pick(this.valueCount.individual[seriesIndex], this.valueCount.global);
// Iterate down the cells of each column and add data to the series
data = []; for (j = 0; j < columns[i].length; j++) { data[j] = [ firstCol[j], columns[i][j] !== undefined ? columns[i][j] : null ]; if (valueCount > 1) { data[j].push(columns[i + 1][j] !== undefined ? columns[i + 1][j] : null); } if (valueCount > 2) { data[j].push(columns[i + 2][j] !== undefined ? columns[i + 2][j] : null); } if (valueCount > 3) { data[j].push(columns[i + 3][j] !== undefined ? columns[i + 3][j] : null); } if (valueCount > 4) { data[j].push(columns[i + 4][j] !== undefined ? columns[i + 4][j] : null); } }
// Add the series
series[seriesIndex] = { name: columns[i].name, data: data };
i += valueCount; }
// Do the callback
options.complete({ xAxis: { type: type }, series: series }); } } });
// Register the Data prototype and data function on Highcharts
Highcharts.Data = Data; Highcharts.data = function (options, chartOptions) { return new Data(options, chartOptions); };
// Extend Chart.init so that the Chart constructor accepts a new configuration
// option group, data.
Highcharts.wrap(Highcharts.Chart.prototype, 'init', function (proceed, userOptions, callback) { var chart = this;
if (userOptions && userOptions.data) { Highcharts.data(Highcharts.extend(userOptions.data, { complete: function (dataOptions) { // Merge series configs
if (userOptions.series) { each(userOptions.series, function (series, i) { userOptions.series[i] = Highcharts.merge(series, dataOptions.series[i]); }); }
// Do the merge
userOptions = Highcharts.merge(dataOptions, userOptions);
proceed.call(chart, userOptions, callback); } }), userOptions); } else { proceed.call(chart, userOptions, callback); } }); }(Highcharts));
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