Current File : //home1/dimen328/libertysa.com.br/admin/media/Highcharts-4.1.9/js/modules/data.src.js
/**
* @license Highcharts JS v4.1.9 (2015-10-07)
* Data module
*
* (c) 2012-2014 Torstein Honsi
*
* License: www.highcharts.com/license
*/
// JSLint options:
/*global jQuery, HighchartsAdapter */
(function (Highcharts) {
// Utilities
var each = Highcharts.each,
pick = Highcharts.pick,
inArray = HighchartsAdapter.inArray,
splat = Highcharts.splat,
SeriesBuilder;
// 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) || [];
this.firstRowAsNames = pick(options.firstRowAsNames, true);
this.decimalRegex = options.decimalPoint && new RegExp('^([0-9]+)' + options.decimalPoint + '([0-9]+)$');
// This is a two-dimensional array holding the raw, trimmed string values
// with the same organisation as the columns array. It makes it possible
// for example to revert from interpreted timestamps to string-based
// categories.
this.rawColumns = [];
// 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,
options = this.options,
xColumns = [],
getValueCount = function (type) {
return (Highcharts.seriesTypes[type || 'line'].prototype.pointArrayMap || [0]).length;
},
getPointArrayMap = function (type) {
return Highcharts.seriesTypes[type || 'line'].prototype.pointArrayMap;
},
globalType = chartOptions && chartOptions.chart && chartOptions.chart.type,
individualCounts = [],
seriesBuilders = [],
seriesIndex = 0,
i;
each((chartOptions && chartOptions.series) || [], function (series) {
individualCounts.push(getValueCount(series.type || globalType));
});
// Collect the x-column indexes from seriesMapping
each((options && options.seriesMapping) || [], function (mapping) {
xColumns.push(mapping.x || 0);
});
// If there are no defined series with x-columns, use the first column as x column
if (xColumns.length === 0) {
xColumns.push(0);
}
// Loop all seriesMappings and constructs SeriesBuilders from
// the mapping options.
each((options && options.seriesMapping) || [], function (mapping) {
var builder = new SeriesBuilder(),
name,
numberOfValueColumnsNeeded = individualCounts[seriesIndex] || getValueCount(globalType),
seriesArr = (chartOptions && chartOptions.series) || [],
series = seriesArr[seriesIndex] || {},
pointArrayMap = getPointArrayMap(series.type || globalType) || ['y'];
// Add an x reader from the x property or from an undefined column
// if the property is not set. It will then be auto populated later.
builder.addColumnReader(mapping.x, 'x');
// Add all column mappings
for (name in mapping) {
if (mapping.hasOwnProperty(name) && name !== 'x') {
builder.addColumnReader(mapping[name], name);
}
}
// Add missing columns
for (i = 0; i < numberOfValueColumnsNeeded; i++) {
if (!builder.hasReader(pointArrayMap[i])) {
//builder.addNextColumnReader(pointArrayMap[i]);
// Create and add a column reader for the next free column index
builder.addColumnReader(undefined, pointArrayMap[i]);
}
}
seriesBuilders.push(builder);
seriesIndex++;
});
var globalPointArrayMap = getPointArrayMap(globalType);
if (globalPointArrayMap === undefined) {
globalPointArrayMap = ['y'];
}
this.valueCount = {
global: getValueCount(globalType),
xColumns: xColumns,
individual: individualCounts,
seriesBuilders: seriesBuilders,
globalPointArrayMap: globalPointArrayMap
};
},
/**
* When the data is parsed into columns, either by CSV, table, GS or direct input,
* continue with other operations.
*/
dataFound: function () {
if (this.options.switchRowsAndColumns) {
this.columns = this.rowsToColumns(this.columns);
}
// Interpret the info about series and columns
this.getColumnDistribution();
// Interpret the values into right types
this.parseTypes();
// Handle columns if a handleColumns callback is given
if (this.parsed() !== false) {
// 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,
itemDelimiter,
lines,
activeRowNo = 0;
if (csv) {
lines = csv
.replace(/\r\n/g, "\n") // Unix
.replace(/\r/g, "\n") // Mac
.split(options.lineDelimiter || "\n");
itemDelimiter = options.itemDelimiter || (csv.indexOf('\t') !== -1 ? '\t' : ',');
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(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;
if (table) {
if (typeof table === 'string') {
table = document.getElementById(table);
}
each(table.getElementsByTagName('tr'), function (tr, rowNo) {
if (rowNo >= startRow && rowNo <= endRow) {
each(tr.children, function (item, colNo) {
if ((item.tagName === 'TD' || item.tagName === 'TH') && colNo >= startColumn && colNo <= endColumn) {
if (!columns[colNo - startColumn]) {
columns[colNo - startColumn] = [];
}
columns[colNo - startColumn][rowNo - startRow] = item.innerHTML;
}
});
}
});
this.dataFound(); // continue
}
},
/**
*/
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.ajax({
dataType: 'json',
url: 'https://spreadsheets.google.com/feeds/cells/' +
googleSpreadsheetKey + '/' + (options.googleSpreadsheetWorksheet || 'od6') +
'/public/values?alt=json-in-script&callback=?',
error: options.error,
success: 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();
}
});
}
},
/**
* Trim a string from whitespace
*/
trim: function (str, inside) {
if (typeof str === 'string') {
str = str.replace(/^\s+|\s+$/g, '');
// Clear white space insdie the string, like thousands separators
if (inside && /^[0-9\s]+$/.test(str)) {
str = str.replace(/\s/g, '');
}
if (this.decimalRegex) {
str = str.replace(this.decimalRegex, '$1.$2');
}
}
return str;
},
/**
* Parse numeric cells in to number types and date types in to true dates.
*/
parseTypes: function () {
var columns = this.columns,
col = columns.length;
while (col--) {
this.parseColumn(columns[col], col);
}
},
/**
* Parse a single column. Set properties like .isDatetime and .isNumeric.
*/
parseColumn: function (column, col) {
var rawColumns = this.rawColumns,
columns = this.columns,
row = column.length,
val,
floatVal,
trimVal,
trimInsideVal,
firstRowAsNames = this.firstRowAsNames,
isXColumn = inArray(col, this.valueCount.xColumns) !== -1,
dateVal,
backup = [],
diff,
chartOptions = this.chartOptions,
descending,
columnTypes = this.options.columnTypes || [],
columnType = columnTypes[col],
forceCategory = isXColumn && ((chartOptions && chartOptions.xAxis && splat(chartOptions.xAxis)[0].type === 'category') || columnType === 'string');
if (!rawColumns[col]) {
rawColumns[col] = [];
}
while (row--) {
val = backup[row] || column[row];
trimVal = this.trim(val);
trimInsideVal = this.trim(val, true);
floatVal = parseFloat(trimInsideVal);
// Set it the first time
if (rawColumns[col][row] === undefined) {
rawColumns[col][row] = trimVal;
}
// Disable number or date parsing by setting the X axis type to category
if (forceCategory || (row === 0 && firstRowAsNames)) {
column[row] = trimVal;
} else if (+trimInsideVal === floatVal) { // is numeric
column[row] = floatVal;
// If the number is greater than milliseconds in a year, assume datetime
if (floatVal > 365 * 24 * 3600 * 1000 && columnType !== 'float') {
column.isDatetime = true;
} else {
column.isNumeric = true;
}
if (column[row + 1] !== undefined) {
descending = floatVal > column[row + 1];
}
// String, continue to determine if it is a date string or really a string
} else {
dateVal = this.parseDate(val);
// Only allow parsing of dates if this column is an x-column
if (isXColumn && typeof dateVal === 'number' && !isNaN(dateVal) && columnType !== 'float') { // is date
backup[row] = val;
column[row] = dateVal;
column.isDatetime = true;
// Check if the dates are uniformly descending or ascending. If they
// are not, chances are that they are a different time format, so check
// for alternative.
if (column[row + 1] !== undefined) {
diff = dateVal > column[row + 1];
if (diff !== descending && descending !== undefined) {
if (this.alternativeFormat) {
this.dateFormat = this.alternativeFormat;
row = column.length;
this.alternativeFormat = this.dateFormats[this.dateFormat].alternative;
} else {
column.unsorted = true;
}
}
descending = diff;
}
} else { // string
column[row] = trimVal === '' ? null : trimVal;
if (row !== 0 && (column.isDatetime || column.isNumeric)) {
column.mixed = true;
}
}
}
}
// If strings are intermixed with numbers or dates in a parsed column, it is an indication
// that parsing went wrong or the data was not intended to display as numbers or dates and
// parsing is too aggressive. Fall back to categories. Demonstrated in the
// highcharts/demo/column-drilldown sample.
if (isXColumn && column.mixed) {
columns[col] = rawColumns[col];
}
// If the 0 column is date or number and descending, reverse all columns.
if (isXColumn && descending && this.options.sort) {
for (col = 0; col < columns.length; col++) {
columns[col].reverse();
if (firstRowAsNames) {
columns[col].unshift(columns[col].pop());
}
}
}
},
/**
* A collection of available date formats, extendable from the outside to support
* custom date formats.
*/
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]);
}
},
'dd/mm/YYYY': {
regex: /^([0-9]{1,2})[\-\/\.]([0-9]{1,2})[\-\/\.]([0-9]{4})$/,
parser: function (match) {
return Date.UTC(+match[3], match[2] - 1, +match[1]);
},
alternative: 'mm/dd/YYYY' // different format with the same regex
},
'mm/dd/YYYY': {
regex: /^([0-9]{1,2})[\-\/\.]([0-9]{1,2})[\-\/\.]([0-9]{4})$/,
parser: function (match) {
return Date.UTC(+match[3], match[1] - 1, +match[2]);
}
},
'dd/mm/YY': {
regex: /^([0-9]{1,2})[\-\/\.]([0-9]{1,2})[\-\/\.]([0-9]{2})$/,
parser: function (match) {
return Date.UTC(+match[3] + 2000, match[2] - 1, +match[1]);
},
alternative: 'mm/dd/YY' // different format with the same regex
},
'mm/dd/YY': {
regex: /^([0-9]{1,2})[\-\/\.]([0-9]{1,2})[\-\/\.]([0-9]{2})$/,
parser: function (match) {
return Date.UTC(+match[3] + 2000, match[1] - 1, +match[2]);
}
}
},
/**
* Parse a date and return it as a number. Overridable through options.parseDate.
*/
parseDate: function (val) {
var parseDate = this.options.parseDate,
ret,
key,
format,
dateFormat = this.options.dateFormat || this.dateFormat,
match;
if (parseDate) {
ret = parseDate(val);
} else if (typeof val === 'string') {
// Auto-detect the date format the first time
if (!dateFormat) {
for (key in this.dateFormats) {
format = this.dateFormats[key];
match = val.match(format.regex);
if (match) {
this.dateFormat = dateFormat = key;
this.alternativeFormat = format.alternative;
ret = format.parser(match);
break;
}
}
// Next time, use the one previously found
} else {
format = this.dateFormats[dateFormat];
match = val.match(format.regex);
if (match) {
ret = format.parser(match);
}
}
// Fall back to Date.parse
if (!match) {
match = Date.parse(val);
// External tools like Date.js and MooTools extend Date object and
// returns a date.
if (typeof match === 'object' && match !== null && match.getTime) {
ret = match.getTime() - match.getTimezoneOffset() * 60000;
// Timestamp
} else if (typeof match === 'number' && !isNaN(match)) {
ret = match - (new Date(match)).getTimezoneOffset() * 60000;
}
}
}
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) {
return this.options.parsed.call(this, this.columns);
}
},
getFreeIndexes: function (numberOfColumns, seriesBuilders) {
var s,
i,
freeIndexes = [],
freeIndexValues = [],
referencedIndexes;
// Add all columns as free
for (i = 0; i < numberOfColumns; i = i + 1) {
freeIndexes.push(true);
}
// Loop all defined builders and remove their referenced columns
for (s = 0; s < seriesBuilders.length; s = s + 1) {
referencedIndexes = seriesBuilders[s].getReferencedColumnIndexes();
for (i = 0; i < referencedIndexes.length; i = i + 1) {
freeIndexes[referencedIndexes[i]] = false;
}
}
// Collect the values for the free indexes
for (i = 0; i < freeIndexes.length; i = i + 1) {
if (freeIndexes[i]) {
freeIndexValues.push(i);
}
}
return freeIndexValues;
},
/**
* If a complete callback function is provided in the options, interpret the
* columns into a Highcharts options object.
*/
complete: function () {
var columns = this.columns,
xColumns = [],
type,
options = this.options,
series,
data,
i,
j,
r,
seriesIndex,
chartOptions,
allSeriesBuilders = [],
builder,
freeIndexes,
typeCol,
index;
xColumns.length = columns.length;
if (options.complete || options.afterComplete) {
// Get the names and shift the top row
for (i = 0; i < columns.length; i++) {
if (this.firstRowAsNames) {
columns[i].name = columns[i].shift();
}
}
// Use the next columns for series
series = [];
freeIndexes = this.getFreeIndexes(columns.length, this.valueCount.seriesBuilders);
// Populate defined series
for (seriesIndex = 0; seriesIndex < this.valueCount.seriesBuilders.length; seriesIndex++) {
builder = this.valueCount.seriesBuilders[seriesIndex];
// If the builder can be populated with remaining columns, then add it to allBuilders
if (builder.populateColumns(freeIndexes)) {
allSeriesBuilders.push(builder);
}
}
// Populate dynamic series
while (freeIndexes.length > 0) {
builder = new SeriesBuilder();
builder.addColumnReader(0, 'x');
// Mark index as used (not free)
index = inArray(0, freeIndexes);
if (index !== -1) {
freeIndexes.splice(index, 1);
}
for (i = 0; i < this.valueCount.global; i++) {
// Create and add a column reader for the next free column index
builder.addColumnReader(undefined, this.valueCount.globalPointArrayMap[i]);
}
// If the builder can be populated with remaining columns, then add it to allBuilders
if (builder.populateColumns(freeIndexes)) {
allSeriesBuilders.push(builder);
}
}
// Get the data-type from the first series x column
if (allSeriesBuilders.length > 0 && allSeriesBuilders[0].readers.length > 0) {
typeCol = columns[allSeriesBuilders[0].readers[0].columnIndex];
if (typeCol !== undefined) {
if (typeCol.isDatetime) {
type = 'datetime';
} else if (!typeCol.isNumeric) {
type = 'category';
}
}
}
// Axis type is category, then the "x" column should be called "name"
if (type === 'category') {
for (seriesIndex = 0; seriesIndex < allSeriesBuilders.length; seriesIndex++) {
builder = allSeriesBuilders[seriesIndex];
for (r = 0; r < builder.readers.length; r++) {
if (builder.readers[r].configName === 'x') {
builder.readers[r].configName = 'name';
}
}
}
}
// Read data for all builders
for (seriesIndex = 0; seriesIndex < allSeriesBuilders.length; seriesIndex++) {
builder = allSeriesBuilders[seriesIndex];
// Iterate down the cells of each column and add data to the series
data = [];
for (j = 0; j < columns[0].length; j++) { // TODO: which column's length should we use here
data[j] = builder.read(columns, j);
}
// Add the series
series[seriesIndex] = {
data: data
};
if (builder.name) {
series[seriesIndex].name = builder.name;
}
if (type === 'category') {
series[seriesIndex].turboThreshold = 0;
}
}
// Do the callback
chartOptions = {
series: series
};
if (type) {
chartOptions.xAxis = {
type: type
};
}
if (options.complete) {
options.complete(chartOptions);
}
// The afterComplete hook is used internally to avoid conflict with the externally
// available complete option.
if (options.afterComplete) {
options.afterComplete(chartOptions);
}
}
}
});
// 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, {
afterComplete: function (dataOptions) {
var i, series;
// Merge series configs
if (userOptions.hasOwnProperty('series')) {
if (typeof userOptions.series === 'object') {
i = Math.max(userOptions.series.length, dataOptions.series.length);
while (i--) {
series = userOptions.series[i] || {};
userOptions.series[i] = Highcharts.merge(series, dataOptions.series[i]);
}
} else { // Allow merging in dataOptions.series (#2856)
delete userOptions.series;
}
}
// Do the merge
userOptions = Highcharts.merge(dataOptions, userOptions);
proceed.call(chart, userOptions, callback);
}
}), userOptions);
} else {
proceed.call(chart, userOptions, callback);
}
});
/**
* Creates a new SeriesBuilder. A SeriesBuilder consists of a number
* of ColumnReaders that reads columns and give them a name.
* Ex: A series builder can be constructed to read column 3 as 'x' and
* column 7 and 8 as 'y1' and 'y2'.
* The output would then be points/rows of the form {x: 11, y1: 22, y2: 33}
*
* The name of the builder is taken from the second column. In the above
* example it would be the column with index 7.
* @constructor
*/
SeriesBuilder = function () {
this.readers = [];
this.pointIsArray = true;
};
/**
* Populates readers with column indexes. A reader can be added without
* a specific index and for those readers the index is taken sequentially
* from the free columns (this is handled by the ColumnCursor instance).
* @returns {boolean}
*/
SeriesBuilder.prototype.populateColumns = function (freeIndexes) {
var builder = this,
enoughColumns = true;
// Loop each reader and give it an index if its missing.
// The freeIndexes.shift() will return undefined if there
// are no more columns.
each(builder.readers, function (reader) {
if (reader.columnIndex === undefined) {
reader.columnIndex = freeIndexes.shift();
}
});
// Now, all readers should have columns mapped. If not
// then return false to signal that this series should
// not be added.
each(builder.readers, function (reader) {
if (reader.columnIndex === undefined) {
enoughColumns = false;
}
});
return enoughColumns;
};
/**
* Reads a row from the dataset and returns a point or array depending
* on the names of the readers.
* @param columns
* @param rowIndex
* @returns {Array | Object}
*/
SeriesBuilder.prototype.read = function (columns, rowIndex) {
var builder = this,
pointIsArray = builder.pointIsArray,
point = pointIsArray ? [] : {},
columnIndexes;
// Loop each reader and ask it to read its value.
// Then, build an array or point based on the readers names.
each(builder.readers, function (reader) {
var value = columns[reader.columnIndex][rowIndex];
if (pointIsArray) {
point.push(value);
} else {
point[reader.configName] = value;
}
});
// The name comes from the first column (excluding the x column)
if (this.name === undefined && builder.readers.length >= 2) {
columnIndexes = builder.getReferencedColumnIndexes();
if (columnIndexes.length >= 2) {
// remove the first one (x col)
columnIndexes.shift();
// Sort the remaining
columnIndexes.sort();
// Now use the lowest index as name column
this.name = columns[columnIndexes.shift()].name;
}
}
return point;
};
/**
* Creates and adds ColumnReader from the given columnIndex and configName.
* ColumnIndex can be undefined and in that case the reader will be given
* an index when columns are populated.
* @param columnIndex {Number | undefined}
* @param configName
*/
SeriesBuilder.prototype.addColumnReader = function (columnIndex, configName) {
this.readers.push({
columnIndex: columnIndex,
configName: configName
});
if (!(configName === 'x' || configName === 'y' || configName === undefined)) {
this.pointIsArray = false;
}
};
/**
* Returns an array of column indexes that the builder will use when
* reading data.
* @returns {Array}
*/
SeriesBuilder.prototype.getReferencedColumnIndexes = function () {
var i,
referencedColumnIndexes = [],
columnReader;
for (i = 0; i < this.readers.length; i = i + 1) {
columnReader = this.readers[i];
if (columnReader.columnIndex !== undefined) {
referencedColumnIndexes.push(columnReader.columnIndex);
}
}
return referencedColumnIndexes;
};
/**
* Returns true if the builder has a reader for the given configName.
* @param configName
* @returns {boolean}
*/
SeriesBuilder.prototype.hasReader = function (configName) {
var i, columnReader;
for (i = 0; i < this.readers.length; i = i + 1) {
columnReader = this.readers[i];
if (columnReader.configName === configName) {
return true;
}
}
// Else return undefined
};
}(Highcharts));
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