dataSample.js
3.77 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
/*
* 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 = 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;