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