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refactor-t
| Author | SHA1 | Date |
|---|---|---|
Giò Diani
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479feba6c2 |
File diff suppressed because it is too large
Load Diff
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@ -25,6 +25,5 @@ pandas = ">=2.2.3,<3"
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plotly = ">=5.24.1,<6"
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duckdb = ">=1.1.2,<2"
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python-dotenv = ">=1.0.1,<2"
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fastapi = ">=0.115.4,<0.116"
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polars = ">=0.20.26,<2"
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pyarrow = ">=18.0.0,<19"
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@ -4,7 +4,7 @@
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Document</title>
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<script src=" https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js "></script>
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<script src="https://cdn.jsdelivr.net/npm/echarts@5.5.1/dist/echarts.min.js"></script>
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<style>
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*{
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@ -14,7 +14,11 @@
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border: 0;
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}
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#dia-capacity{width: 100%; height: 400px;}
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#dia-capacity{
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width: 100%;
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height: 400px;
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}
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main{
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display: grid;
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width: 100%;
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@ -41,6 +45,11 @@
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</head>
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<body>
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<main>
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<article id="timeline">
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</article>
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</section>
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<div>
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<select>
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@ -143,6 +152,63 @@ const option = {
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};
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option && myChart.setOption(option);
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const timelineChart = document.getElementById('timeline');
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timelineChart.setOption({
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// This is the properties of `baseOption`.
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timeline: {
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// each item in `timeline.data` corresponds to each
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// `option` in `options` array.
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data: ['2002-01-01', '2003-01-01', '2004-01-01']
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},
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title: {
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subtext: ' Data is from National Bureau of Statistics '
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},
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series: [{
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// other configurations of series 1
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type: 'bar',
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}, {
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// other configurations of series 2
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type: 'line',
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}, {
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// other configurations of series 3
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type: 'pie',
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}],
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// `switchableOption`s:
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options: [{
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// it is an option corresponding to '2002-01-01'
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title: {
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text: 'the statistics of the year 2002'
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},
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series: [
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{ data: [] }, // the data of series 1
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{ data: [] }, // the data of series 2
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{ data: [] } // the data of series 3
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]
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}, {
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// it is an option corresponding to '2003-01-01'
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title: {
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text: 'the statistics of the year 2003'
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},
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series: [
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{ data: [] },
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{ data: [] },
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{ data: [] }
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]
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}, {
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// it is an option corresponding to '2004-01-01'
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title: {
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text: 'the statistics of the year 2004'
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},
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series: [
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{ data: [] },
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{ data: [] },
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{ data: [] }
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]
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}]
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});
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</script>
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</body>
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@ -0,0 +1,22 @@
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import polars as pl
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import data
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inst = data.load()
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test = inst.extractions_for(1).pl()
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out = test.with_columns(
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pl.col("calendar").str.extract_all(r"([0-9]{4}-[0-9]{2}-[0-9]{2})|[0-2]").alias("extracted_nrs"),
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)
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out.drop(['calendar', 'property_id'])
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ll = out.get_column("extracted_nrs").explode().gather_every(2)
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llo = out.get_column("extracted_nrs").explode().gather_every(2, offset=1)
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lli = ll.list.concat(llo)
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print(ll)
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print(lli)
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