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node_modules/echarts/lib/processor/dataFilter.js

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+
+/*
+* Licensed to the Apache Software Foundation (ASF) under one
+* or more contributor license agreements.  See the NOTICE file
+* distributed with this work for additional information
+* regarding copyright ownership.  The ASF licenses this file
+* to you under the Apache License, Version 2.0 (the
+* "License"); you may not use this file except in compliance
+* with the License.  You may obtain a copy of the License at
+*
+*   http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing,
+* software distributed under the License is distributed on an
+* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+* KIND, either express or implied.  See the License for the
+* specific language governing permissions and limitations
+* under the License.
+*/
+
+/*
+* Licensed to the Apache Software Foundation (ASF) under one
+* or more contributor license agreements.  See the NOTICE file
+* distributed with this work for additional information
+* regarding copyright ownership.  The ASF licenses this file
+* to you under the Apache License, Version 2.0 (the
+* "License"); you may not use this file except in compliance
+* with the License.  You may obtain a copy of the License at
+*
+*   http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing,
+* software distributed under the License is distributed on an
+* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+* KIND, either express or implied.  See the License for the
+* specific language governing permissions and limitations
+* under the License.
+*/
+function _default(seriesType) {
+  return {
+    seriesType: seriesType,
+    reset: function (seriesModel, ecModel) {
+      var legendModels = ecModel.findComponents({
+        mainType: 'legend'
+      });
+
+      if (!legendModels || !legendModels.length) {
+        return;
+      }
+
+      var data = seriesModel.getData();
+      data.filterSelf(function (idx) {
+        var name = data.getName(idx); // If in any legend component the status is not selected.
+
+        for (var i = 0; i < legendModels.length; i++) {
+          if (!legendModels[i].isSelected(name)) {
+            return false;
+          }
+        }
+
+        return true;
+      });
+    }
+  };
+}
+
+module.exports = _default;

node_modules/echarts/lib/processor/dataSample.js

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+
+/*
+* Licensed to the Apache Software Foundation (ASF) under one
+* or more contributor license agreements.  See the NOTICE file
+* distributed with this work for additional information
+* regarding copyright ownership.  The ASF licenses this file
+* to you under the Apache License, Version 2.0 (the
+* "License"); you may not use this file except in compliance
+* with the License.  You may obtain a copy of the License at
+*
+*   http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing,
+* software distributed under the License is distributed on an
+* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+* KIND, either express or implied.  See the License for the
+* specific language governing permissions and limitations
+* under the License.
+*/
+
+/*
+* Licensed to the Apache Software Foundation (ASF) under one
+* or more contributor license agreements.  See the NOTICE file
+* distributed with this work for additional information
+* regarding copyright ownership.  The ASF licenses this file
+* to you under the Apache License, Version 2.0 (the
+* "License"); you may not use this file except in compliance
+* with the License.  You may obtain a copy of the License at
+*
+*   http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing,
+* software distributed under the License is distributed on an
+* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+* KIND, either express or implied.  See the License for the
+* specific language governing permissions and limitations
+* under the License.
+*/
+var samplers = {
+  average: function (frame) {
+    var sum = 0;
+    var count = 0;
+
+    for (var i = 0; i < frame.length; i++) {
+      if (!isNaN(frame[i])) {
+        sum += frame[i];
+        count++;
+      }
+    } // Return NaN if count is 0
+
+
+    return count === 0 ? NaN : sum / count;
+  },
+  sum: function (frame) {
+    var sum = 0;
+
+    for (var i = 0; i < frame.length; i++) {
+      // Ignore NaN
+      sum += frame[i] || 0;
+    }
+
+    return sum;
+  },
+  max: function (frame) {
+    var max = -Infinity;
+
+    for (var i = 0; i < frame.length; i++) {
+      frame[i] > max && (max = frame[i]);
+    } // NaN will cause illegal axis extent.
+
+
+    return isFinite(max) ? max : NaN;
+  },
+  min: function (frame) {
+    var min = Infinity;
+
+    for (var i = 0; i < frame.length; i++) {
+      frame[i] < min && (min = frame[i]);
+    } // NaN will cause illegal axis extent.
+
+
+    return isFinite(min) ? min : NaN;
+  },
+  // TODO
+  // Median
+  nearest: function (frame) {
+    return frame[0];
+  }
+};
+
+var indexSampler = function (frame, value) {
+  return Math.round(frame.length / 2);
+};
+
+function _default(seriesType) {
+  return {
+    seriesType: seriesType,
+    modifyOutputEnd: true,
+    reset: function (seriesModel, ecModel, api) {
+      var data = seriesModel.getData();
+      var sampling = seriesModel.get('sampling');
+      var coordSys = seriesModel.coordinateSystem; // Only cartesian2d support down sampling
+
+      if (coordSys.type === 'cartesian2d' && sampling) {
+        var baseAxis = coordSys.getBaseAxis();
+        var valueAxis = coordSys.getOtherAxis(baseAxis);
+        var extent = baseAxis.getExtent(); // Coordinste system has been resized
+
+        var size = Math.abs(extent[1] - extent[0]);
+        var rate = Math.round(data.count() / size);
+
+        if (rate > 1) {
+          var sampler;
+
+          if (typeof sampling === 'string') {
+            sampler = samplers[sampling];
+          } else if (typeof sampling === 'function') {
+            sampler = sampling;
+          }
+
+          if (sampler) {
+            // Only support sample the first dim mapped from value axis.
+            seriesModel.setData(data.downSample(data.mapDimension(valueAxis.dim), 1 / rate, sampler, indexSampler));
+          }
+        }
+      }
+    }
+  };
+}
+
+module.exports = _default;

node_modules/echarts/lib/processor/dataStack.js

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+
+/*
+* Licensed to the Apache Software Foundation (ASF) under one
+* or more contributor license agreements.  See the NOTICE file
+* distributed with this work for additional information
+* regarding copyright ownership.  The ASF licenses this file
+* to you under the Apache License, Version 2.0 (the
+* "License"); you may not use this file except in compliance
+* with the License.  You may obtain a copy of the License at
+*
+*   http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing,
+* software distributed under the License is distributed on an
+* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+* KIND, either express or implied.  See the License for the
+* specific language governing permissions and limitations
+* under the License.
+*/
+
+var _util = require("zrender/lib/core/util");
+
+var createHashMap = _util.createHashMap;
+var each = _util.each;
+
+/*
+* Licensed to the Apache Software Foundation (ASF) under one
+* or more contributor license agreements.  See the NOTICE file
+* distributed with this work for additional information
+* regarding copyright ownership.  The ASF licenses this file
+* to you under the Apache License, Version 2.0 (the
+* "License"); you may not use this file except in compliance
+* with the License.  You may obtain a copy of the License at
+*
+*   http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing,
+* software distributed under the License is distributed on an
+* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+* KIND, either express or implied.  See the License for the
+* specific language governing permissions and limitations
+* under the License.
+*/
+// (1) [Caution]: the logic is correct based on the premises:
+//     data processing stage is blocked in stream.
+//     See <module:echarts/stream/Scheduler#performDataProcessorTasks>
+// (2) Only register once when import repeatly.
+//     Should be executed after series filtered and before stack calculation.
+function _default(ecModel) {
+  var stackInfoMap = createHashMap();
+  ecModel.eachSeries(function (seriesModel) {
+    var stack = seriesModel.get('stack'); // Compatibal: when `stack` is set as '', do not stack.
+
+    if (stack) {
+      var stackInfoList = stackInfoMap.get(stack) || stackInfoMap.set(stack, []);
+      var data = seriesModel.getData();
+      var stackInfo = {
+        // Used for calculate axis extent automatically.
+        stackResultDimension: data.getCalculationInfo('stackResultDimension'),
+        stackedOverDimension: data.getCalculationInfo('stackedOverDimension'),
+        stackedDimension: data.getCalculationInfo('stackedDimension'),
+        stackedByDimension: data.getCalculationInfo('stackedByDimension'),
+        isStackedByIndex: data.getCalculationInfo('isStackedByIndex'),
+        data: data,
+        seriesModel: seriesModel
+      }; // If stacked on axis that do not support data stack.
+
+      if (!stackInfo.stackedDimension || !(stackInfo.isStackedByIndex || stackInfo.stackedByDimension)) {
+        return;
+      }
+
+      stackInfoList.length && data.setCalculationInfo('stackedOnSeries', stackInfoList[stackInfoList.length - 1].seriesModel);
+      stackInfoList.push(stackInfo);
+    }
+  });
+  stackInfoMap.each(calculateStack);
+}
+
+function calculateStack(stackInfoList) {
+  each(stackInfoList, function (targetStackInfo, idxInStack) {
+    var resultVal = [];
+    var resultNaN = [NaN, NaN];
+    var dims = [targetStackInfo.stackResultDimension, targetStackInfo.stackedOverDimension];
+    var targetData = targetStackInfo.data;
+    var isStackedByIndex = targetStackInfo.isStackedByIndex; // Should not write on raw data, because stack series model list changes
+    // depending on legend selection.
+
+    var newData = targetData.map(dims, function (v0, v1, dataIndex) {
+      var sum = targetData.get(targetStackInfo.stackedDimension, dataIndex); // Consider `connectNulls` of line area, if value is NaN, stackedOver
+      // should also be NaN, to draw a appropriate belt area.
+
+      if (isNaN(sum)) {
+        return resultNaN;
+      }
+
+      var byValue;
+      var stackedDataRawIndex;
+
+      if (isStackedByIndex) {
+        stackedDataRawIndex = targetData.getRawIndex(dataIndex);
+      } else {
+        byValue = targetData.get(targetStackInfo.stackedByDimension, dataIndex);
+      } // If stackOver is NaN, chart view will render point on value start.
+
+
+      var stackedOver = NaN;
+
+      for (var j = idxInStack - 1; j >= 0; j--) {
+        var stackInfo = stackInfoList[j]; // Has been optimized by inverted indices on `stackedByDimension`.
+
+        if (!isStackedByIndex) {
+          stackedDataRawIndex = stackInfo.data.rawIndexOf(stackInfo.stackedByDimension, byValue);
+        }
+
+        if (stackedDataRawIndex >= 0) {
+          var val = stackInfo.data.getByRawIndex(stackInfo.stackResultDimension, stackedDataRawIndex); // Considering positive stack, negative stack and empty data
+
+          if (sum >= 0 && val > 0 || // Positive stack
+          sum <= 0 && val < 0 // Negative stack
+          ) {
+              sum += val;
+              stackedOver = val;
+              break;
+            }
+        }
+      }
+
+      resultVal[0] = sum;
+      resultVal[1] = stackedOver;
+      return resultVal;
+    });
+    targetData.hostModel.setData(newData); // Update for consequent calculation
+
+    targetStackInfo.data = newData;
+  });
+}
+
+module.exports = _default;