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+<template>
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+ <q-btn
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+ color="primary"
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+ no-caps
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+ :disable="data ? false : true"
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+ @click="saveSpectrumSimulation"
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+ >Save</q-btn>
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+</template>
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+
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+<script lang="ts">
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+import {
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+ computed,
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+ defineComponent,
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+ // ref,
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+ // watch
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+ // nextTick
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+} from 'vue'
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+import {useStore} from 'src/store'
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+// import {getModeName, range, rangeInt} from 'components/utils'
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+// import {cloneDeep} from 'lodash'
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+import {saveAs} from 'file-saver'
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+// import {nearFieldPlane} from 'src/store/simulation-setup/state';
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+
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+
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+export default defineComponent({
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+ name: 'SaveSimulationNearField',
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+
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+ setup() {
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+ const $store = useStore()
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+
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+
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+ const coordX = computed(() => $store.state.plotRuntime.nearFieldCoordX)
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+ const coordY = computed(() => $store.state.plotRuntime.nearFieldCoordY)
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+ const data = computed(() => $store.state.plotRuntime.nearFieldEabs)
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+
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+ return {
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+ data,
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+ saveSpectrumSimulation(){
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+ if (!data.value) return
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+ const fileHeader = '# # You can open and plot this file using Python\n' +
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+ '# # (without manually removing this header, it will be skipped), see example below.\n' +
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+ '# import numpy as np\n' +
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+ '# from matplotlib import pyplot as plt\n' +
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+ '# data = np.genfromtxt(\'scattnlay-spectra.txt\', skip_header=21, names=True, delimiter=\', \')\n' +
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+ '# x = data[data.dtype.names[0]] # x-axis has units\n' +
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+ '# # Possible labels for spectrum data: Qsca, Qabs, Qext,\n' +
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+ '# # Qsca_E_dipole, etc. (see last comment before spectra data)\n' +
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+ '# a = data[\'Qsca\']\n' +
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+ '# b = data[\'Qsca_E_dipole\']\n' +
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+ '# c = data[\'Qsca_H_dipole\']\n' +
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+ '# \n' +
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+ '# plt.figure()\n' +
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+ '# plt.plot(x, a, label=\'Qsca\')\n' +
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+ '# plt.plot(x, b, label=\'Qsca E dipole\')\n' +
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+ '# plt.plot(x, c, label=\'Qsca H dipole\')\n' +
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+ '# plt.legend()\n' +
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+ '# plt.xlabel(data.dtype.names[0].replace(\'_\', \', \'))\n' +
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+ '# plt.ylabel(\'Normalized cross-sections\')\n' +
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+ '# plt.show()\n\n'
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+ let columnNames = '# X, Y, Eabs\n'
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+ let body = ''
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+ for (let i = 0; i < data.value.length; ++i) {
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+ let row = coordX.value[i].toString() + ', '
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+ + coordY.value[i].toString() + ', '
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+ + data.value[i].toString()
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+ row += '\n'
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+ body += row
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+ }
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+
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+ const scattnlayNearField = new Blob([fileHeader+columnNames+body
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+ ],
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+ {type: 'text/plain;charset=utf-8',
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+ endings: 'native'} //TODO test if newline is correctly written in Windows, MacOS
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+ )
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+ saveAs(scattnlayNearField, 'scattnlay-near-field.txt');
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+ }
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+ }
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+ },
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+})
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+</script>
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