Add files via upload

eqe_helper.py

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+import time
+from tqdm import tqdm
+import xlsxwriter as xw
+import os
+
+time_start = time.process_time()
+
+# 1.Plan Summary Data File Name
+path = input('请输入路径(将文件管理器中的路径复制过来即可):')
+os.chdir(path)
+first_folder = str(os.getcwd())
+index = first_folder.rfind('\\')
+result_name = first_folder[index+1 :] + '.xlsx'
+
+
+# 2.Create Summary Data Workbook
+result_workbook = xw.Workbook(result_name)
+format = result_workbook.add_format({'align': 'center', 'font_color': 'red', 'bold': True})
+format1 = result_workbook.add_format({'align': 'center'})
+
+
+# 3.Read every single txt data and rewrite them to summary Workbook
+files_list = os.listdir()
+Jsc_data = []
+data = []
+
+for i in files_list:
+    if i == 'eqe-helper.py' or i == 'eqe-helper.exe':
+        pass
+    else:
+        worksheet = result_workbook.add_worksheet(i)
+        worksheet.set_column(0, 3, 15)
+        worksheet.write(0, 0, 'file name', format)
+        worksheet.write(1, 0, i, format1)
+        worksheet.write(0, 1, 'Lambda(nm)', format)
+        worksheet.write(0, 2, 'EQE (%)', format)
+        worksheet.write(0, 3, 'Jsc (mA/cm^2)', format)
+        file_to_read = open(i, 'r')
+        lines =1
+        while True:
+            if lines <= 5:
+                line = file_to_read.readline()
+                lines += 1
+            else:
+                line = file_to_read.readline()
+                if line == '':
+                    Jsc_data = []
+                    break
+                else:
+                    line = line.strip('\n')
+                    line = line.split('\t')
+                    Jsc_data.append(float(line[3]))
+                    line.pop(2)
+                    line.pop(2)
+                    line.pop(2)
+                    line.pop(2)
+                    Jsc_point = 0
+                    for j in Jsc_data:
+                        Jsc_point += j
+                    line.append(Jsc_point)
+                    data.append(line)
+                    lines += 1
+
+        n = 1
+        for m in data:
+            if n <= len(data):
+                worksheet.write(n, 1, eval(m[0]), format1)
+                worksheet.write(n, 2, eval(m[1]), format1)
+                worksheet.write(n, 3, m[2], format1)
+                n += 1
+        data = []
+
+result_workbook.close()
+
+time_end = time.process_time()
+time_sum = time_end - time_start
+counter = int(time_sum / 0.01)
+
+for k in tqdm(range(counter)):
+    time.sleep(0.01)
+
+print('数据处理完...')
+import menu
+
+

iv_helper.py

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+import os
+import xlsxwriter as xw
+import time
+from tqdm import tqdm
+from openpyxl import load_workbook
+
+time_start = time.process_time()
+
+# 1.规划汇总数据文件名
+path = input('请输入路径(将文件管理器中的路径复制过来即可):')
+os.chdir(path)
+first_folder = str(os.getcwd())
+index = first_folder.rfind('\\')
+result_name = first_folder[index+1 :] + '.xlsx'
+
+
+# 2.创建汇总数据工作簿
+workbook = xw.Workbook(result_name)
+format = workbook.add_format({'align': 'center', 'font_color': 'red', 'bold': True})
+format1 = workbook.add_format({'align': 'center'})
+
+# 3.定义修正计算函数（修正 FF 和 PCE 参数）
+def recalculate(temple_data):
+    # 重新计算 FF
+    temple_data.append(round(temple_data[5] / (temple_data[3] * temple_data[4]), 6))
+    # 重新计算 PCE 并加入缓存列表
+    temple_data.append(round(temple_data[3] * temple_data[4] * temple_data[6], 6))
+
+# 4.读取并写入数据
+folders_list = os.listdir() # 获取所有子文件夹
+single_data = [] # 缓存单个文件数据
+data = [] # 缓存单组所有文件数据
+find_Voc = [] # 缓存正确 Voc
+find_Jsc = [] # 缓存正确 Jsc
+find_P_max = [] # 缓存正确 P_max
+
+for i in folders_list:
+    if i == 'iv-helper-vip-240825.py' or i == 'iv-helper-vip-240825.exe':
+        pass
+    else:
+        # 创建对应组名的工作表
+        worksheet = workbook.add_worksheet(i)
+        worksheet.set_column(0, 5, 15)
+        worksheet.set_column(6, 7, 25)
+        worksheet.write(0, 0, 'file name', format)
+        worksheet.write(0, 1, 'Mode', format)
+        worksheet.write(0, 2, 'Voc (V)', format)
+        worksheet.write(0, 3, 'Jsc (mA/cm^2)', format)
+        worksheet.write(0, 4, 'FF (%)', format)
+        worksheet.write(0, 5, 'PCE (%)', format)
+        worksheet.write(0, 6, 'Device area (cm^2)', format)
+        worksheet.write(0, 7, 'Author: umaru', format)
+        worksheet.write(1, 7, 'From', format)
+        worksheet.write(2, 7, '1 kWh Group', format)
+        worksheet.write(3, 7, 'Funsom - Soochow.U', format)
+        os.chdir(i)
+        files_list = os.listdir()
+        for j in files_list:
+            lines = 1
+            file_to_read = open(j, 'rb') # 以二进制打开文件，方便后面的指针操作
+            single_data.append(j)
+            while True:
+                if lines == 1:
+                    line = file_to_read.readline().decode("utf - 8")
+                    line = line.strip('\n\r')
+                    line = line.lstrip('Voc (V) = ')
+                    if_mode = float(line)
+                    if if_mode < 0:
+                        single_data.append('Reverse')
+                        lines += 1
+                    else:
+                        single_data.append('Forward')
+                        lines += 1
+                elif lines == 7:
+                    line = file_to_read.readline().decode("utf - 8")
+                    line = line.strip('\r\n')
+                    line = line.strip('Device area (cm^2) = ')
+                    single_data.append(line)
+                    lines += 1
+                elif lines == 8: # 识别空扫数据
+                    line = file_to_read.readline().decode("utf - 8")
+                    line = line.strip('\r\n')
+                    line = line.strip('Isd (A) = ')
+                    if float(line) == 0:
+                        single_data = []
+                        break
+                    else:
+                        lines += 1
+                        continue
+                elif lines >= 11:
+                    line = file_to_read.readline().decode("utf - 8")
+                    line = line.strip('\r\n')
+                    index1 = line.rfind('\t')
+                    if_V = float(line[0:index1])
+                    if_I = float(line[index1 + 1:])
+                    if if_V < 0 and if_I > 0:
+                        if_P_max = abs(if_V) * if_I
+                        find_P_max.append(if_P_max)
+                    if single_data[1] == 'Reverse':
+                        if find_Voc == []:
+                            if float(line[index1+1:]) >= 0:
+                                find_Voc.append(line)
+                                back_cursor1 = len(line) * 2 + 5
+                                file_to_read.seek(-back_cursor1, 1)
+                                line = file_to_read.readline().decode("utf - 8")
+                                line = line.strip('\r\n')
+                                index2 = line.rfind('\t')
+                                find_Voc.append(line)
+                                correct_Voc = float(find_Voc[1][0:index2]) - float(find_Voc[1][index2+1:]) * ((float(find_Voc[0][0:index1]) - float(find_Voc[1][0:index2])) / (float(find_Voc[0][index1+1:]) - float(find_Voc[1][index2+1:])))
+                                correct_Voc = abs(round(correct_Voc, 6))
+                                single_data.append(correct_Voc)
+                                lines += 1
+                            else:
+                                pass
+                        if float(line[0:index1]) >= 0:
+                            find_Jsc.append(line)
+                            back_cursor2 = len(line) * 2 + 5
+                            file_to_read.seek(-back_cursor2, 1)
+                            line = file_to_read.readline().decode("utf - 8")
+                            line = line.strip('\r\n')
+                            index3 = line.rfind('\t')
+                            find_Jsc.append(line)
+                            correct_Jsc = float(find_Jsc[0][index1+1:]) - float(find_Jsc[0][0:index1]) * ((float(find_Jsc[1][index3+1:]) - float(find_Jsc[0][index1+1:])) / (float(find_Jsc[1][0:index3]) - float(find_Jsc[0][0:index1])))
+                            correct_Jsc = abs(round(correct_Jsc, 6))
+                            single_data.append(correct_Jsc)
+                            single_data.append(max(find_P_max))
+                            recalculate(single_data)
+                            data.append(single_data)
+                            single_data = []
+                            find_Voc = []
+                            find_Jsc = []
+                            find_P_max = []
+                            file_to_read.close()
+                            break
+
+                    if single_data[1] == 'Forward':
+                        if find_Jsc == []:
+                            if float(line[0:index1]) <= 0:
+                                find_Jsc.append(line)
+                                back_cursor3 = len(line) * 2 + 3
+                                file_to_read.seek(-back_cursor3, 1)
+                                line = file_to_read.readline().decode("utf - 8")
+                                line.strip('\r\n')
+                                index4 = line.rfind('\t')
+                                find_Jsc.append(line)
+                                correct_Jsc = float(find_Jsc[0][index1+1:]) - float(find_Jsc[0][0:index1]) * ((float(find_Jsc[1][index4+1:]) - float(find_Jsc[0][index1+1:])) / (float(find_Jsc[1][0:index4]) - float(find_Jsc[0][0:index1])))
+                                correct_Jsc = abs(round(correct_Jsc, 6))
+                                single_data.append(correct_Jsc)
+                                lines += 1
+                            else:
+                                pass
+                        if float(line[index1+1:]) <= 0:
+                            find_Voc.append(line)
+                            back_cursor4 = len(line) * 2 + 3
+                            file_to_read.seek(-back_cursor4, 1)
+                            line = file_to_read.readline().decode("utf - 8")
+                            line.strip('\r\n')
+                            index5 = line.rfind('\t')
+                            find_Voc.append(line)
+                            correct_Voc = float(find_Voc[1][0:index5]) - float(find_Voc[1][index5+1:]) * ((float(find_Voc[0][0:index1]) - float(find_Voc[1][0:index5])) / (float(find_Voc[0][index1+1:]) - float(find_Voc[1][index5+1:])))
+                            correct_Voc = abs(round(correct_Voc, 6))
+                            single_data.append(correct_Voc)
+                            single_data.append(max(find_P_max))
+                            recalculate(single_data)
+                            data.append(single_data)
+                            single_data = []
+                            find_Voc = []
+                            find_Jsc = []
+                            find_P_max = []
+                            file_to_read.close()
+                            break
+                    lines += 1
+                else:
+                    line = file_to_read.readline()
+                    lines += 1
+                    continue
+
+        data.sort(key=lambda x:x[7], reverse=True) # 根据 PCE 对 data 进行降序排列
+
+        # 写入缓存数据至目标工作表
+        n =1
+        for m in data:
+            if n <= len(data):
+                # 写入文件名
+                worksheet.write(n, 0, m[0], format1)
+                # 写入扫描模式
+                worksheet.write(n, 1, m[1], format1)
+                if m[1] == 'Reverse':
+                    # 写入 Voc
+                    worksheet.write(n, 2, m[3], format1)
+                    # 写入 Jsc
+                    worksheet.write(n, 3, m[4], format1)
+                else:
+                    # 写入 Jsc
+                    worksheet.write(n, 3, m[3], format1)
+                    # 写入 Voc
+                    worksheet.write(n, 2, m[4], format1)
+                # 写入 FF
+                worksheet.write(n, 4, m[6], format1)
+                # 写入 PCE
+                worksheet.write(n, 5, m[7], format1)
+                # 写入有效面积
+                worksheet.write(n, 6, m[2], format1)
+                n += 1
+        data = [] # 清空缓存
+        os.chdir(first_folder)
+
+workbook.close()
+
+# 5.生成统计文件 -- 方便绘制统计图
+target_workbook = load_workbook(result_name)
+
+Statistical_Voc = []
+Statistical_Jsc = []
+Statistical_FF = []
+Statistical_PCE = []
+for sheet in target_workbook.worksheets:
+    row_num = sheet.max_row
+    Temple_Voc, Temple_Jsc, Temple_FF, Temple_PCE = [], [], [], []
+    for row in range(2, row_num+2):
+        if sheet.cell(row, 3).value != None:
+            Temple_Voc.append(sheet.cell(row, 3).value)
+            Temple_Jsc.append(sheet.cell(row, 4).value)
+            Temple_FF.append(sheet.cell(row, 5).value)
+            Temple_PCE.append(sheet.cell(row, 6).value)
+        else:
+            Statistical_Voc.append(Temple_Voc)
+            Statistical_Jsc.append(Temple_Jsc)
+            Statistical_FF.append(Temple_FF)
+            Statistical_PCE.append(Temple_PCE)
+            break
+
+Statistical_workbook = xw.Workbook('Statistical data.xlsx')
+format2 = Statistical_workbook.add_format({'align': 'center'})
+Voc_sheet = Statistical_workbook.add_worksheet('Voc')
+Jsc_sheet = Statistical_workbook.add_worksheet('Jsc')
+FF_sheet = Statistical_workbook.add_worksheet('FF')
+PCE_sheet = Statistical_workbook.add_worksheet('PCE')
+
+def write_data(data_list, target_sheet):
+    c_num = 0
+    columns_num = len(data_list)
+    target_sheet.set_column(0, columns_num-1, 15)
+    for data in data_list:
+        if c_num <= len(data_list)-1:
+            r_num = 0
+            for i in data:
+                if r_num <= len(data)-1:
+                    target_sheet.write(r_num, c_num, i, format2)
+                    r_num += 1
+            c_num += 1
+
+write_data(Statistical_Voc, Voc_sheet)
+write_data(Statistical_Jsc, Jsc_sheet)
+write_data(Statistical_FF, FF_sheet)
+write_data(Statistical_PCE, PCE_sheet)
+
+Statistical_workbook.close()
+
+
+time_end = time.process_time()
+time_sum = round((time_end - time_start), 2)
+counter = int(time_sum / 0.01)
+
+for k in tqdm(range(counter)):
+    time.sleep(0.01)
+
+print('数据处理完毕...')
+import menu
+
+