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Move around functionality and delete unused code
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,57 @@ | ||
| // devUtils.js | ||
|
|
||
| import axios from 'axios'; | ||
| import { saveAs } from 'file-saver'; | ||
|
|
||
| export const minMax = function(arr) { | ||
| return arr.reduce(function(p, v) { | ||
| return ([p[0] < v ? p[0] : v, v < p[1] ? p[1] : v]); | ||
| }, [Infinity, -Infinity]); | ||
| }; | ||
|
|
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| export const extractRegressionData = (x1_values, y_values, param, data) => { | ||
| axios.post('/calc_regression/', { | ||
| x_values: x1_values, | ||
| y_values: y_values, | ||
| }).then((response) => { | ||
| const d = response.data; | ||
| const xRange = minMax(x1_values); | ||
| console.log('xRange:', xRange); | ||
| console.log(param.x_1, d, 'yRange:', | ||
| [xRange[0] * d.slope + d.intercept, | ||
| xRange[1] * d.slope + d.intercept]); | ||
| }); | ||
|
|
||
| for (let col of param.option) { | ||
| axios.post('/calc_multi_regression/', { | ||
| x1_values: x1_values, | ||
| x2_values: data[col], | ||
| y_values: y_values, | ||
| }).then((response) => { | ||
| const d = response.data; | ||
| const xRange = minMax(x1_values); | ||
| console.log(col, d, 'yRange:', | ||
| [xRange[0] * d.slope_x1 + d.intercept, | ||
| xRange[1] * d.slope_x1 + d.intercept]); | ||
| }); | ||
| } | ||
| }; | ||
|
|
||
| export const exportCSV = (data, plotType) => { | ||
| let headers = ['x', 'y']; | ||
| if (plotType === '3d') { | ||
| headers.push('z'); | ||
| } | ||
|
|
||
| const dataRows = data.map(point => { | ||
| let row = [point.x, point.y]; | ||
| if (plotType === '3d') { | ||
| row.push(point.z); | ||
| } | ||
| return row.join(','); | ||
| }); | ||
|
|
||
| const csv = [headers.join(','), ...dataRows].join('\n'); | ||
| const blob = new Blob([csv], { type: 'text/csv;charset=utf-8' }); | ||
| saveAs(blob, 'scatterplot_data.csv'); | ||
| }; |