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481 lines
18 KiB
481 lines
18 KiB
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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/**
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* AUTO-GENERATED FILE. DO NOT MODIFY.
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*/
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/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import { each, defaults, keys } from 'zrender/lib/core/util.js';
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import { parsePercent } from '../util/number.js';
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import { isDimensionStacked } from '../data/helper/dataStackHelper.js';
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import createRenderPlanner from '../chart/helper/createRenderPlanner.js';
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import { createFloat32Array } from '../util/vendor.js';
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var STACK_PREFIX = '__ec_stack_';
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function getSeriesStackId(seriesModel) {
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return seriesModel.get('stack') || STACK_PREFIX + seriesModel.seriesIndex;
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}
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function getAxisKey(axis) {
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return axis.dim + axis.index;
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}
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/**
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* @return {Object} {width, offset, offsetCenter} If axis.type is not 'category', return undefined.
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*/
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export function getLayoutOnAxis(opt) {
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var params = [];
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var baseAxis = opt.axis;
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var axisKey = 'axis0';
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if (baseAxis.type !== 'category') {
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return;
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}
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var bandWidth = baseAxis.getBandWidth();
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for (var i = 0; i < opt.count || 0; i++) {
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params.push(defaults({
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bandWidth: bandWidth,
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axisKey: axisKey,
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stackId: STACK_PREFIX + i
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}, opt));
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}
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var widthAndOffsets = doCalBarWidthAndOffset(params);
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var result = [];
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for (var i = 0; i < opt.count; i++) {
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var item = widthAndOffsets[axisKey][STACK_PREFIX + i];
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item.offsetCenter = item.offset + item.width / 2;
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result.push(item);
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}
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return result;
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}
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export function prepareLayoutBarSeries(seriesType, ecModel) {
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var seriesModels = [];
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ecModel.eachSeriesByType(seriesType, function (seriesModel) {
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// Check series coordinate, do layout for cartesian2d only
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if (isOnCartesian(seriesModel)) {
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seriesModels.push(seriesModel);
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}
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});
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return seriesModels;
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}
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/**
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* Map from (baseAxis.dim + '_' + baseAxis.index) to min gap of two adjacent
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* values.
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* This works for time axes, value axes, and log axes.
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* For a single time axis, return value is in the form like
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* {'x_0': [1000000]}.
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* The value of 1000000 is in milliseconds.
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*/
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function getValueAxesMinGaps(barSeries) {
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/**
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* Map from axis.index to values.
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* For a single time axis, axisValues is in the form like
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* {'x_0': [1495555200000, 1495641600000, 1495728000000]}.
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* Items in axisValues[x], e.g. 1495555200000, are time values of all
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* series.
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*/
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var axisValues = {};
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each(barSeries, function (seriesModel) {
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var cartesian = seriesModel.coordinateSystem;
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var baseAxis = cartesian.getBaseAxis();
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if (baseAxis.type !== 'time' && baseAxis.type !== 'value') {
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return;
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}
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var data = seriesModel.getData();
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var key = baseAxis.dim + '_' + baseAxis.index;
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var dimIdx = data.getDimensionIndex(data.mapDimension(baseAxis.dim));
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var store = data.getStore();
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for (var i = 0, cnt = store.count(); i < cnt; ++i) {
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var value = store.get(dimIdx, i);
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if (!axisValues[key]) {
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// No previous data for the axis
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axisValues[key] = [value];
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} else {
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// No value in previous series
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axisValues[key].push(value);
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}
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// Ignore duplicated time values in the same axis
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}
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});
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var axisMinGaps = {};
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for (var key in axisValues) {
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if (axisValues.hasOwnProperty(key)) {
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var valuesInAxis = axisValues[key];
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if (valuesInAxis) {
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// Sort axis values into ascending order to calculate gaps
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valuesInAxis.sort(function (a, b) {
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return a - b;
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});
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var min = null;
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for (var j = 1; j < valuesInAxis.length; ++j) {
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var delta = valuesInAxis[j] - valuesInAxis[j - 1];
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if (delta > 0) {
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// Ignore 0 delta because they are of the same axis value
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min = min === null ? delta : Math.min(min, delta);
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}
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}
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// Set to null if only have one data
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axisMinGaps[key] = min;
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}
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}
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}
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return axisMinGaps;
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}
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export function makeColumnLayout(barSeries) {
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var axisMinGaps = getValueAxesMinGaps(barSeries);
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var seriesInfoList = [];
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each(barSeries, function (seriesModel) {
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var cartesian = seriesModel.coordinateSystem;
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var baseAxis = cartesian.getBaseAxis();
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var axisExtent = baseAxis.getExtent();
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var bandWidth;
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if (baseAxis.type === 'category') {
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bandWidth = baseAxis.getBandWidth();
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} else if (baseAxis.type === 'value' || baseAxis.type === 'time') {
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var key = baseAxis.dim + '_' + baseAxis.index;
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var minGap = axisMinGaps[key];
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var extentSpan = Math.abs(axisExtent[1] - axisExtent[0]);
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var scale = baseAxis.scale.getExtent();
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var scaleSpan = Math.abs(scale[1] - scale[0]);
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bandWidth = minGap ? extentSpan / scaleSpan * minGap : extentSpan; // When there is only one data value
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} else {
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var data = seriesModel.getData();
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bandWidth = Math.abs(axisExtent[1] - axisExtent[0]) / data.count();
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}
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var barWidth = parsePercent(seriesModel.get('barWidth'), bandWidth);
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var barMaxWidth = parsePercent(seriesModel.get('barMaxWidth'), bandWidth);
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var barMinWidth = parsePercent(
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// barMinWidth by default is 0.5 / 1 in cartesian. Because in value axis,
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// the auto-calculated bar width might be less than 0.5 / 1.
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seriesModel.get('barMinWidth') || (isInLargeMode(seriesModel) ? 0.5 : 1), bandWidth);
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var barGap = seriesModel.get('barGap');
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var barCategoryGap = seriesModel.get('barCategoryGap');
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seriesInfoList.push({
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bandWidth: bandWidth,
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barWidth: barWidth,
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barMaxWidth: barMaxWidth,
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barMinWidth: barMinWidth,
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barGap: barGap,
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barCategoryGap: barCategoryGap,
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axisKey: getAxisKey(baseAxis),
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stackId: getSeriesStackId(seriesModel)
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});
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});
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return doCalBarWidthAndOffset(seriesInfoList);
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}
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function doCalBarWidthAndOffset(seriesInfoList) {
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// Columns info on each category axis. Key is cartesian name
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var columnsMap = {};
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each(seriesInfoList, function (seriesInfo, idx) {
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var axisKey = seriesInfo.axisKey;
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var bandWidth = seriesInfo.bandWidth;
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var columnsOnAxis = columnsMap[axisKey] || {
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bandWidth: bandWidth,
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remainedWidth: bandWidth,
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autoWidthCount: 0,
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categoryGap: null,
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gap: '20%',
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stacks: {}
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};
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var stacks = columnsOnAxis.stacks;
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columnsMap[axisKey] = columnsOnAxis;
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var stackId = seriesInfo.stackId;
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if (!stacks[stackId]) {
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columnsOnAxis.autoWidthCount++;
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}
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stacks[stackId] = stacks[stackId] || {
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width: 0,
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maxWidth: 0
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};
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// Caution: In a single coordinate system, these barGrid attributes
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// will be shared by series. Consider that they have default values,
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// only the attributes set on the last series will work.
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// Do not change this fact unless there will be a break change.
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var barWidth = seriesInfo.barWidth;
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if (barWidth && !stacks[stackId].width) {
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// See #6312, do not restrict width.
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stacks[stackId].width = barWidth;
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barWidth = Math.min(columnsOnAxis.remainedWidth, barWidth);
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columnsOnAxis.remainedWidth -= barWidth;
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}
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var barMaxWidth = seriesInfo.barMaxWidth;
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barMaxWidth && (stacks[stackId].maxWidth = barMaxWidth);
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var barMinWidth = seriesInfo.barMinWidth;
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barMinWidth && (stacks[stackId].minWidth = barMinWidth);
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var barGap = seriesInfo.barGap;
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barGap != null && (columnsOnAxis.gap = barGap);
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var barCategoryGap = seriesInfo.barCategoryGap;
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barCategoryGap != null && (columnsOnAxis.categoryGap = barCategoryGap);
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});
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var result = {};
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each(columnsMap, function (columnsOnAxis, coordSysName) {
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result[coordSysName] = {};
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var stacks = columnsOnAxis.stacks;
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var bandWidth = columnsOnAxis.bandWidth;
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var categoryGapPercent = columnsOnAxis.categoryGap;
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if (categoryGapPercent == null) {
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var columnCount = keys(stacks).length;
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// More columns in one group
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// the spaces between group is smaller. Or the column will be too thin.
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categoryGapPercent = Math.max(35 - columnCount * 4, 15) + '%';
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}
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var categoryGap = parsePercent(categoryGapPercent, bandWidth);
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var barGapPercent = parsePercent(columnsOnAxis.gap, 1);
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var remainedWidth = columnsOnAxis.remainedWidth;
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var autoWidthCount = columnsOnAxis.autoWidthCount;
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var autoWidth = (remainedWidth - categoryGap) / (autoWidthCount + (autoWidthCount - 1) * barGapPercent);
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autoWidth = Math.max(autoWidth, 0);
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// Find if any auto calculated bar exceeded maxBarWidth
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each(stacks, function (column) {
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var maxWidth = column.maxWidth;
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var minWidth = column.minWidth;
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if (!column.width) {
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var finalWidth = autoWidth;
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if (maxWidth && maxWidth < finalWidth) {
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finalWidth = Math.min(maxWidth, remainedWidth);
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}
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// `minWidth` has higher priority. `minWidth` decide that whether the
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// bar is able to be visible. So `minWidth` should not be restricted
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// by `maxWidth` or `remainedWidth` (which is from `bandWidth`). In
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// the extreme cases for `value` axis, bars are allowed to overlap
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// with each other if `minWidth` specified.
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if (minWidth && minWidth > finalWidth) {
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finalWidth = minWidth;
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}
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if (finalWidth !== autoWidth) {
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column.width = finalWidth;
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remainedWidth -= finalWidth + barGapPercent * finalWidth;
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autoWidthCount--;
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}
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} else {
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// `barMinWidth/barMaxWidth` has higher priority than `barWidth`, as
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// CSS does. Because barWidth can be a percent value, where
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// `barMaxWidth` can be used to restrict the final width.
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var finalWidth = column.width;
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if (maxWidth) {
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finalWidth = Math.min(finalWidth, maxWidth);
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}
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// `minWidth` has higher priority, as described above
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if (minWidth) {
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finalWidth = Math.max(finalWidth, minWidth);
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}
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column.width = finalWidth;
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remainedWidth -= finalWidth + barGapPercent * finalWidth;
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autoWidthCount--;
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}
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});
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// Recalculate width again
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autoWidth = (remainedWidth - categoryGap) / (autoWidthCount + (autoWidthCount - 1) * barGapPercent);
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autoWidth = Math.max(autoWidth, 0);
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var widthSum = 0;
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var lastColumn;
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each(stacks, function (column, idx) {
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if (!column.width) {
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column.width = autoWidth;
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}
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lastColumn = column;
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widthSum += column.width * (1 + barGapPercent);
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});
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if (lastColumn) {
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widthSum -= lastColumn.width * barGapPercent;
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}
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var offset = -widthSum / 2;
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each(stacks, function (column, stackId) {
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result[coordSysName][stackId] = result[coordSysName][stackId] || {
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bandWidth: bandWidth,
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offset: offset,
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width: column.width
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};
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offset += column.width * (1 + barGapPercent);
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});
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});
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return result;
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}
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function retrieveColumnLayout(barWidthAndOffset, axis, seriesModel) {
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if (barWidthAndOffset && axis) {
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var result = barWidthAndOffset[getAxisKey(axis)];
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if (result != null && seriesModel != null) {
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return result[getSeriesStackId(seriesModel)];
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}
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return result;
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}
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}
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export { retrieveColumnLayout };
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export function layout(seriesType, ecModel) {
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var seriesModels = prepareLayoutBarSeries(seriesType, ecModel);
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var barWidthAndOffset = makeColumnLayout(seriesModels);
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each(seriesModels, function (seriesModel) {
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var data = seriesModel.getData();
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var cartesian = seriesModel.coordinateSystem;
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var baseAxis = cartesian.getBaseAxis();
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var stackId = getSeriesStackId(seriesModel);
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var columnLayoutInfo = barWidthAndOffset[getAxisKey(baseAxis)][stackId];
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var columnOffset = columnLayoutInfo.offset;
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var columnWidth = columnLayoutInfo.width;
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data.setLayout({
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bandWidth: columnLayoutInfo.bandWidth,
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offset: columnOffset,
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size: columnWidth
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});
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});
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}
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// TODO: Do not support stack in large mode yet.
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export function createProgressiveLayout(seriesType) {
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return {
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seriesType: seriesType,
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plan: createRenderPlanner(),
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reset: function (seriesModel) {
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if (!isOnCartesian(seriesModel)) {
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return;
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}
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var data = seriesModel.getData();
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var cartesian = seriesModel.coordinateSystem;
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var baseAxis = cartesian.getBaseAxis();
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var valueAxis = cartesian.getOtherAxis(baseAxis);
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var valueDimIdx = data.getDimensionIndex(data.mapDimension(valueAxis.dim));
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var baseDimIdx = data.getDimensionIndex(data.mapDimension(baseAxis.dim));
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var drawBackground = seriesModel.get('showBackground', true);
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var valueDim = data.mapDimension(valueAxis.dim);
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var stackResultDim = data.getCalculationInfo('stackResultDimension');
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var stacked = isDimensionStacked(data, valueDim) && !!data.getCalculationInfo('stackedOnSeries');
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var isValueAxisH = valueAxis.isHorizontal();
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var valueAxisStart = getValueAxisStart(baseAxis, valueAxis);
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var isLarge = isInLargeMode(seriesModel);
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var barMinHeight = seriesModel.get('barMinHeight') || 0;
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var stackedDimIdx = stackResultDim && data.getDimensionIndex(stackResultDim);
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// Layout info.
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var columnWidth = data.getLayout('size');
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var columnOffset = data.getLayout('offset');
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return {
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progress: function (params, data) {
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var count = params.count;
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var largePoints = isLarge && createFloat32Array(count * 3);
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var largeBackgroundPoints = isLarge && drawBackground && createFloat32Array(count * 3);
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var largeDataIndices = isLarge && createFloat32Array(count);
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var coordLayout = cartesian.master.getRect();
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var bgSize = isValueAxisH ? coordLayout.width : coordLayout.height;
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var dataIndex;
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var store = data.getStore();
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var idxOffset = 0;
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while ((dataIndex = params.next()) != null) {
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var value = store.get(stacked ? stackedDimIdx : valueDimIdx, dataIndex);
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var baseValue = store.get(baseDimIdx, dataIndex);
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var baseCoord = valueAxisStart;
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var stackStartValue = void 0;
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// Because of the barMinHeight, we can not use the value in
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// stackResultDimension directly.
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if (stacked) {
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stackStartValue = +value - store.get(valueDimIdx, dataIndex);
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}
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var x = void 0;
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var y = void 0;
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var width = void 0;
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var height = void 0;
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if (isValueAxisH) {
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var coord = cartesian.dataToPoint([value, baseValue]);
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if (stacked) {
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var startCoord = cartesian.dataToPoint([stackStartValue, baseValue]);
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baseCoord = startCoord[0];
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}
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x = baseCoord;
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y = coord[1] + columnOffset;
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width = coord[0] - baseCoord;
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height = columnWidth;
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if (Math.abs(width) < barMinHeight) {
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width = (width < 0 ? -1 : 1) * barMinHeight;
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}
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} else {
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var coord = cartesian.dataToPoint([baseValue, value]);
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if (stacked) {
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var startCoord = cartesian.dataToPoint([baseValue, stackStartValue]);
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baseCoord = startCoord[1];
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}
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x = coord[0] + columnOffset;
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y = baseCoord;
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width = columnWidth;
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height = coord[1] - baseCoord;
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if (Math.abs(height) < barMinHeight) {
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// Include zero to has a positive bar
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height = (height <= 0 ? -1 : 1) * barMinHeight;
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}
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}
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if (!isLarge) {
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data.setItemLayout(dataIndex, {
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x: x,
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y: y,
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width: width,
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height: height
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});
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} else {
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largePoints[idxOffset] = x;
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largePoints[idxOffset + 1] = y;
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largePoints[idxOffset + 2] = isValueAxisH ? width : height;
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if (largeBackgroundPoints) {
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largeBackgroundPoints[idxOffset] = isValueAxisH ? coordLayout.x : x;
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largeBackgroundPoints[idxOffset + 1] = isValueAxisH ? y : coordLayout.y;
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largeBackgroundPoints[idxOffset + 2] = bgSize;
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}
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largeDataIndices[dataIndex] = dataIndex;
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}
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idxOffset += 3;
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}
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if (isLarge) {
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data.setLayout({
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largePoints: largePoints,
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largeDataIndices: largeDataIndices,
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largeBackgroundPoints: largeBackgroundPoints,
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valueAxisHorizontal: isValueAxisH
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});
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}
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}
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};
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}
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};
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}
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function isOnCartesian(seriesModel) {
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return seriesModel.coordinateSystem && seriesModel.coordinateSystem.type === 'cartesian2d';
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}
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function isInLargeMode(seriesModel) {
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return seriesModel.pipelineContext && seriesModel.pipelineContext.large;
|
|
}
|
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// See cases in `test/bar-start.html` and `#7412`, `#8747`.
|
|
function getValueAxisStart(baseAxis, valueAxis) {
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|
var startValue = valueAxis.model.get('startValue');
|
|
if (!startValue) {
|
|
startValue = 0;
|
|
}
|
|
return valueAxis.toGlobalCoord(valueAxis.dataToCoord(valueAxis.type === 'log' ? startValue > 0 ? startValue : 1 : startValue));
|
|
} |