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newwindow.py
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newwindow.py
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from PySide6.QtWidgets import *
from PySide6.QtCore import Qt
import pandas as pd
import numpy as np
class DetailWindow(QWidget):
def __init__(self, metaatomindexArray, metaatomlist, cocross):
super().__init__()
self.setWindowTitle("Array Window")
self.meta_array = metaatomindexArray
self.meta_list = metaatomlist
self.cocross = cocross
self.setGeometry(1200, 300, 500, 800)
layout = QVBoxLayout()
arrayBox = QGroupBox('Metalens Array')
arrayBox.setLayout(QVBoxLayout())
arrayTable = QTableWidget(metaatomindexArray.shape[0], metaatomindexArray.shape[1])
for i in range(metaatomindexArray.shape[0]):
for j in range(metaatomindexArray.shape[1]):
array_item = QTableWidgetItem(str(metaatomindexArray[i, j]))
array_item.setTextAlignment(Qt.AlignCenter)
arrayTable.setItem(i, j, array_item)
array_header = arrayTable.horizontalHeader()
array_header.setSectionResizeMode(QHeaderView.Stretch)
arrayBox.layout().addWidget(arrayTable)
listBox = QGroupBox('Metaatom List')
listBox.setLayout(QVBoxLayout())
listTable = QTableWidget(metaatomlist.shape[0], 4)
if cocross == 'Co-pol':
listTable.setHorizontalHeaderLabels(['Length (nm)', 'Transmittance', 'Phase (rad)', 'Shape'])
for i in range(metaatomlist.shape[0]):
l = QTableWidgetItem(f'{int(round(metaatomlist[i, 0] * 1e9, -1))}')
l.setTextAlignment(Qt.AlignCenter)
Tr = QTableWidgetItem(f'{metaatomlist[i, 1]: .4f}')
Tr.setTextAlignment(Qt.AlignCenter)
phase = QTableWidgetItem(f'{metaatomlist[i, 2]: .4f}')
phase.setTextAlignment(Qt.AlignCenter)
if int(metaatomlist[i, 3]) == 1:
Shape = QTableWidgetItem('○')
elif int(metaatomlist[i, 3]) == 2:
Shape = QTableWidgetItem('□')
Shape.setTextAlignment(Qt.AlignCenter)
listTable.setItem(i, 0, l)
listTable.setItem(i, 1, Tr)
listTable.setItem(i, 2, phase)
listTable.setItem(i, 3, Shape)
elif cocross == 'Cross-pol':
listTable.setHorizontalHeaderLabels(['X (nm)', 'Y (nm)', 'Transmittance', 'Phase (rad)', 'Transmittance (Cross)', 'Phase (Cross)'])
for i in range(metaatomlist.shape[0]):
x = QTableWidgetItem(f'{int(round(metaatomlist[i, 0] * 1e9, -1))}')
x.setTextAlignment(Qt.AlignCenter)
y = QTableWidgetItem(f'{int(round(metaatomlist[i, 1] * 1e9, -1))}')
y.setTextAlignment(Qt.AlignCenter)
Tr = QTableWidgetItem(f'{metaatomlist[i, 2]: .4f}')
Tr.setTextAlignment(Qt.AlignCenter)
phase = QTableWidgetItem(f'{metaatomlist[i, 3]: .4f}')
phase.setTextAlignment(Qt.AlignCenter)
listTable.setItem(i, 0, QTableWidgetItem(x))
listTable.setItem(i, 1, QTableWidgetItem(y))
listTable.setItem(i, 2, QTableWidgetItem(Tr))
listTable.setItem(i, 3, QTableWidgetItem(phase))
list_header = listTable.horizontalHeader()
list_header.setSectionResizeMode(QHeaderView.Stretch)
listBox.layout().addWidget(listTable)
export_layout = QHBoxLayout()
export_layout.addWidget(QLabel('File Name:'))
self.exportLine = QLineEdit()
export_layout.addWidget(self.exportLine)
self.exportButton = QPushButton('Export')
export_layout.addWidget(self.exportButton)
self.exportButton.clicked.connect(self.export_csv)
layout.addWidget(arrayBox)
layout.addWidget(listBox)
layout.addLayout(export_layout)
self.setLayout(layout)
def export_csv(self):
filename = self.exportLine.text()
array_df = pd.DataFrame(np.copy(self.meta_array), dtype=int)
array_df.to_csv('./Export/Array_' + filename + '.csv', header=False, index=False)
list_df = pd.DataFrame(np.copy(self.meta_list), dtype=float, index=list(range(1, self.meta_list.shape[0]+1)))
if self.cocross == 'Co-pol':
list_df.columns = ['Length (nm)', 'Transmittance', 'Phase (rad)', 'Shape']
list_df.iloc[:, 0] = list_df.iloc[:, 0].apply(lambda x: int(round(x * 1e9, -1)))
list_df.iloc[:, 1] = list_df.iloc[:, 1].apply(lambda x: round(x, 4))
list_df.iloc[:, 2] = list_df.iloc[:, 2].apply(lambda x: round(x, 4))
list_df.iloc[:, 3] = list_df.iloc[:, 3].apply(lambda x: int(x))
elif self.cocross == 'Cross-pol':
list_df.columns = ['X (nm)', 'Y (nm)', 'Transmittance', 'Phase (rad)']
list_df.iloc[:, 0] = list_df.iloc[:, 0].apply(lambda x: int(round(x * 1e9, -1)))
list_df.iloc[:, 1] = list_df.iloc[:, 1].apply(lambda x: int(round(x * 1e9, -1)))
list_df.iloc[:, 2] = list_df.iloc[:, 2].apply(lambda x: round(x, 4))
list_df.iloc[:, 3] = list_df.iloc[:, 3].apply(lambda x: round(x, 4))
list_df.to_csv('./Export/List_' + filename + '.csv', index=list(range(1, list_df.shape[0]+1)))