blob: 3645d6fea0068f521e32588573dc74a8d22ef0aa [file] [log] [blame]
import * as zrUtil from 'zrender/src/core/util';
import * as numberUtil from '../../util/number';
import * as helper from './helper';
var each = zrUtil.each;
var asc = numberUtil.asc;
/**
* Operate single axis.
* One axis can only operated by one axis operator.
* Different dataZoomModels may be defined to operate the same axis.
* (i.e. 'inside' data zoom and 'slider' data zoom components)
* So dataZoomModels share one axisProxy in that case.
*
* @class
*/
var AxisProxy = function (dimName, axisIndex, dataZoomModel, ecModel) {
/**
* @private
* @type {string}
*/
this._dimName = dimName;
/**
* @private
*/
this._axisIndex = axisIndex;
/**
* @private
* @type {Array.<number>}
*/
this._valueWindow;
/**
* @private
* @type {Array.<number>}
*/
this._percentWindow;
/**
* @private
* @type {Array.<number>}
*/
this._dataExtent;
/**
* {minSpan, maxSpan, minValueSpan, maxValueSpan}
* @private
* @type {Object}
*/
this._minMaxSpan;
/**
* @readOnly
* @type {module: echarts/model/Global}
*/
this.ecModel = ecModel;
/**
* @private
* @type {module: echarts/component/dataZoom/DataZoomModel}
*/
this._dataZoomModel = dataZoomModel;
};
AxisProxy.prototype = {
constructor: AxisProxy,
/**
* Whether the axisProxy is hosted by dataZoomModel.
*
* @public
* @param {module: echarts/component/dataZoom/DataZoomModel} dataZoomModel
* @return {boolean}
*/
hostedBy: function (dataZoomModel) {
return this._dataZoomModel === dataZoomModel;
},
/**
* @return {Array.<number>} Value can only be NaN or finite value.
*/
getDataValueWindow: function () {
return this._valueWindow.slice();
},
/**
* @return {Array.<number>}
*/
getDataPercentWindow: function () {
return this._percentWindow.slice();
},
/**
* @public
* @param {number} axisIndex
* @return {Array} seriesModels
*/
getTargetSeriesModels: function () {
var seriesModels = [];
var ecModel = this.ecModel;
ecModel.eachSeries(function (seriesModel) {
if (helper.isCoordSupported(seriesModel.get('coordinateSystem'))) {
var dimName = this._dimName;
var axisModel = ecModel.queryComponents({
mainType: dimName + 'Axis',
index: seriesModel.get(dimName + 'AxisIndex'),
id: seriesModel.get(dimName + 'AxisId')
})[0];
if (this._axisIndex === (axisModel && axisModel.componentIndex)) {
seriesModels.push(seriesModel);
}
}
}, this);
return seriesModels;
},
getAxisModel: function () {
return this.ecModel.getComponent(this._dimName + 'Axis', this._axisIndex);
},
getOtherAxisModel: function () {
var axisDim = this._dimName;
var ecModel = this.ecModel;
var axisModel = this.getAxisModel();
var isCartesian = axisDim === 'x' || axisDim === 'y';
var otherAxisDim;
var coordSysIndexName;
if (isCartesian) {
coordSysIndexName = 'gridIndex';
otherAxisDim = axisDim === 'x' ? 'y' : 'x';
} else {
coordSysIndexName = 'polarIndex';
otherAxisDim = axisDim === 'angle' ? 'radius' : 'angle';
}
var foundOtherAxisModel;
ecModel.eachComponent(otherAxisDim + 'Axis', function (otherAxisModel) {
if ((otherAxisModel.get(coordSysIndexName) || 0) === (axisModel.get(coordSysIndexName) || 0)) {
foundOtherAxisModel = otherAxisModel;
}
});
return foundOtherAxisModel;
},
getMinMaxSpan: function () {
return zrUtil.clone(this._minMaxSpan);
},
/**
* Only calculate by given range and this._dataExtent, do not change anything.
*
* @param {Object} opt
* @param {number} [opt.start]
* @param {number} [opt.end]
* @param {number} [opt.startValue]
* @param {number} [opt.endValue]
*/
calculateDataWindow: function (opt) {
var dataExtent = this._dataExtent;
var axisModel = this.getAxisModel();
var scale = axisModel.axis.scale;
var rangePropMode = this._dataZoomModel.getRangePropMode();
var percentExtent = [0, 100];
var percentWindow = [opt.start, opt.end];
var valueWindow = [];
each(['startValue', 'endValue'], function (prop) {
valueWindow.push(opt[prop] != null ? scale.parse(opt[prop]) : null);
}); // Normalize bound.
each([0, 1], function (idx) {
var boundValue = valueWindow[idx];
var boundPercent = percentWindow[idx]; // Notice: dataZoom is based either on `percentProp` ('start', 'end') or
// on `valueProp` ('startValue', 'endValue'). The former one is suitable
// for cases that a dataZoom component controls multiple axes with different
// unit or extent, and the latter one is suitable for accurate zoom by pixel
// (e.g., in dataZoomSelect). `valueProp` can be calculated from `percentProp`,
// but it is awkward that `percentProp` can not be obtained from `valueProp`
// accurately (because all of values that are overflow the `dataExtent` will
// be calculated to percent '100%'). So we have to use
// `dataZoom.getRangePropMode()` to mark which prop is used.
// `rangePropMode` is updated only when setOption or dispatchAction, otherwise
// it remains its original value.
if (rangePropMode[idx] === 'percent') {
if (boundPercent == null) {
boundPercent = percentExtent[idx];
} // Use scale.parse to math round for category or time axis.
boundValue = scale.parse(numberUtil.linearMap(boundPercent, percentExtent, dataExtent, true));
} else {
// Calculating `percent` from `value` may be not accurate, because
// This calculation can not be inversed, because all of values that
// are overflow the `dataExtent` will be calculated to percent '100%'
boundPercent = numberUtil.linearMap(boundValue, dataExtent, percentExtent, true);
} // valueWindow[idx] = round(boundValue);
// percentWindow[idx] = round(boundPercent);
valueWindow[idx] = boundValue;
percentWindow[idx] = boundPercent;
});
return {
valueWindow: asc(valueWindow),
percentWindow: asc(percentWindow)
};
},
/**
* Notice: reset should not be called before series.restoreData() called,
* so it is recommanded to be called in "process stage" but not "model init
* stage".
*
* @param {module: echarts/component/dataZoom/DataZoomModel} dataZoomModel
*/
reset: function (dataZoomModel) {
if (dataZoomModel !== this._dataZoomModel) {
return;
} // Culculate data window and data extent, and record them.
this._dataExtent = calculateDataExtent(this, this._dimName, this.getTargetSeriesModels());
var dataWindow = this.calculateDataWindow(dataZoomModel.option);
this._valueWindow = dataWindow.valueWindow;
this._percentWindow = dataWindow.percentWindow;
setMinMaxSpan(this); // Update axis setting then.
setAxisModel(this);
},
/**
* @param {module: echarts/component/dataZoom/DataZoomModel} dataZoomModel
*/
restore: function (dataZoomModel) {
if (dataZoomModel !== this._dataZoomModel) {
return;
}
this._valueWindow = this._percentWindow = null;
setAxisModel(this, true);
},
/**
* @param {module: echarts/component/dataZoom/DataZoomModel} dataZoomModel
*/
filterData: function (dataZoomModel) {
if (dataZoomModel !== this._dataZoomModel) {
return;
}
var axisDim = this._dimName;
var seriesModels = this.getTargetSeriesModels();
var filterMode = dataZoomModel.get('filterMode');
var valueWindow = this._valueWindow;
if (filterMode === 'none') {
return;
} // FIXME
// Toolbox may has dataZoom injected. And if there are stacked bar chart
// with NaN data, NaN will be filtered and stack will be wrong.
// So we need to force the mode to be set empty.
// In fect, it is not a big deal that do not support filterMode-'filter'
// when using toolbox#dataZoom, utill tooltip#dataZoom support "single axis
// selection" some day, which might need "adapt to data extent on the
// otherAxis", which is disabled by filterMode-'empty'.
var otherAxisModel = this.getOtherAxisModel();
if (dataZoomModel.get('$fromToolbox') && otherAxisModel && otherAxisModel.get('type') === 'category') {
filterMode = 'empty';
} // Process series data
each(seriesModels, function (seriesModel) {
var seriesData = seriesModel.getData();
var dataDims = seriesModel.coordDimToDataDim(axisDim);
if (filterMode === 'weakFilter') {
seriesData && seriesData.filterSelf(function (dataIndex) {
var leftOut;
var rightOut;
var hasValue;
for (var i = 0; i < dataDims.length; i++) {
var value = seriesData.get(dataDims[i], dataIndex);
var thisHasValue = !isNaN(value);
var thisLeftOut = value < valueWindow[0];
var thisRightOut = value > valueWindow[1];
if (thisHasValue && !thisLeftOut && !thisRightOut) {
return true;
}
thisHasValue && (hasValue = true);
thisLeftOut && (leftOut = true);
thisRightOut && (rightOut = true);
} // If both left out and right out, do not filter.
return hasValue && leftOut && rightOut;
});
} else {
seriesData && each(dataDims, function (dim) {
if (filterMode === 'empty') {
seriesModel.setData(seriesData.map(dim, function (value) {
return !isInWindow(value) ? NaN : value;
}));
} else {
seriesData.filterSelf(dim, isInWindow);
}
});
}
});
function isInWindow(value) {
return value >= valueWindow[0] && value <= valueWindow[1];
}
}
};
function calculateDataExtent(axisProxy, axisDim, seriesModels) {
var dataExtent = [Infinity, -Infinity];
each(seriesModels, function (seriesModel) {
var seriesData = seriesModel.getData();
if (seriesData) {
each(seriesModel.coordDimToDataDim(axisDim), function (dim) {
var seriesExtent = seriesData.getDataExtent(dim);
seriesExtent[0] < dataExtent[0] && (dataExtent[0] = seriesExtent[0]);
seriesExtent[1] > dataExtent[1] && (dataExtent[1] = seriesExtent[1]);
});
}
});
if (dataExtent[1] < dataExtent[0]) {
dataExtent = [NaN, NaN];
} // It is important to get "consistent" extent when more then one axes is
// controlled by a `dataZoom`, otherwise those axes will not be synchronized
// when zooming. But it is difficult to know what is "consistent", considering
// axes have different type or even different meanings (For example, two
// time axes are used to compare data of the same date in different years).
// So basically dataZoom just obtains extent by series.data (in category axis
// extent can be obtained from axis.data).
// Nevertheless, user can set min/max/scale on axes to make extent of axes
// consistent.
fixExtentByAxis(axisProxy, dataExtent);
return dataExtent;
}
function fixExtentByAxis(axisProxy, dataExtent) {
var axisModel = axisProxy.getAxisModel();
var min = axisModel.getMin(true); // For category axis, if min/max/scale are not set, extent is determined
// by axis.data by default.
var isCategoryAxis = axisModel.get('type') === 'category';
var axisDataLen = isCategoryAxis && (axisModel.get('data') || []).length;
if (min != null && min !== 'dataMin' && typeof min !== 'function') {
dataExtent[0] = min;
} else if (isCategoryAxis) {
dataExtent[0] = axisDataLen > 0 ? 0 : NaN;
}
var max = axisModel.getMax(true);
if (max != null && max !== 'dataMax' && typeof max !== 'function') {
dataExtent[1] = max;
} else if (isCategoryAxis) {
dataExtent[1] = axisDataLen > 0 ? axisDataLen - 1 : NaN;
}
if (!axisModel.get('scale', true)) {
dataExtent[0] > 0 && (dataExtent[0] = 0);
dataExtent[1] < 0 && (dataExtent[1] = 0);
} // For value axis, if min/max/scale are not set, we just use the extent obtained
// by series data, which may be a little different from the extent calculated by
// `axisHelper.getScaleExtent`. But the different just affects the experience a
// little when zooming. So it will not be fixed until some users require it strongly.
return dataExtent;
}
function setAxisModel(axisProxy, isRestore) {
var axisModel = axisProxy.getAxisModel();
var percentWindow = axisProxy._percentWindow;
var valueWindow = axisProxy._valueWindow;
if (!percentWindow) {
return;
} // [0, 500]: arbitrary value, guess axis extent.
var precision = numberUtil.getPixelPrecision(valueWindow, [0, 500]);
precision = Math.min(precision, 20); // isRestore or isFull
var useOrigin = isRestore || percentWindow[0] === 0 && percentWindow[1] === 100;
axisModel.setRange(useOrigin ? null : +valueWindow[0].toFixed(precision), useOrigin ? null : +valueWindow[1].toFixed(precision));
}
function setMinMaxSpan(axisProxy) {
var minMaxSpan = axisProxy._minMaxSpan = {};
var dataZoomModel = axisProxy._dataZoomModel;
each(['min', 'max'], function (minMax) {
minMaxSpan[minMax + 'Span'] = dataZoomModel.get(minMax + 'Span'); // minValueSpan and maxValueSpan has higher priority than minSpan and maxSpan
var valueSpan = dataZoomModel.get(minMax + 'ValueSpan');
if (valueSpan != null) {
minMaxSpan[minMax + 'ValueSpan'] = valueSpan;
valueSpan = axisProxy.getAxisModel().axis.scale.parse(valueSpan);
if (valueSpan != null) {
var dataExtent = axisProxy._dataExtent;
minMaxSpan[minMax + 'Span'] = numberUtil.linearMap(dataExtent[0] + valueSpan, dataExtent, [0, 100], true);
}
}
});
}
export default AxisProxy;