117 lines
3.3 KiB
Python
117 lines
3.3 KiB
Python
import os
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import pandas
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import glob
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def get_max_uv_wavelength_from_txt(latest_file_path: str):
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import pandas as pd
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import os
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# 文件检查
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if not os.path.isfile(latest_file_path):
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res = "ERROR: 指定的文件不存在"
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return res
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# 打开并读取最新文件
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with open(latest_file_path, 'r') as file:
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lines = file.readlines()
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# 找到数据开始的行号
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data_start_index = -1
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for i, line in enumerate(lines):
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if "Wavelength Scan Data Record" in line:
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data_start_index = i + 2 # 数据从该行的下两行开始
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break
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if data_start_index == -1:
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res = "ERROR: 无法找到数据记录部分"
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return res
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# 解析数据并构建表格
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data = []
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for line in lines[data_start_index:]:
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parts = line.split()
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if len(parts) == 7: # 保证每行有7列数据
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no, wavelength, abs_value, trans, energy, energy_100, energy_0 = parts
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try:
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data.append({
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'No': int(no),
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'Wavelength(nm)': float(wavelength),
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'Abs': float(abs_value),
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'Trans(%T)': float(trans),
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'Energy': float(energy),
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'Energy(100%T)': float(energy_100),
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'Energy(0%T)': float(energy_0)
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})
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except ValueError:
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print(f"跳过无法解析的行: {line}")
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if not data:
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res = "ERROR: 未解析到任何有效数据"
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return res
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# 构建DataFrame
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df = pd.DataFrame(data)
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# 找到Abs值最大的行
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max_abs_row = df.loc[df['Abs'].idxmax()]
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# 获取最大Abs值对应的波长
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max_abs_wavelength = max_abs_row['Wavelength(nm)']
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res = f"本次实验的UV波长为: {max_abs_wavelength} nm"
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print(res)
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return res
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def get_max_pl_peak_from_txt(latest_file_path: str):
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import pandas as pd
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import os
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# 文件检查
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if not os.path.isfile(latest_file_path):
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res = "ERROR: 指定的文件不存在"
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return res
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# 打开并读取最新文件
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with open(latest_file_path, 'r') as file:
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lines = file.readlines()
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# 找到 'Data Points' 开始的行号
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data_start_index = -1
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for i, line in enumerate(lines):
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if "Data Points" in line:
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data_start_index = i + 1 # 数据从该行的下一行开始
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break
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if data_start_index == -1:
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res = "ERROR: 无法找到数据记录部分"
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return res
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# 解析nm和Data数据
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data = []
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for line in lines[data_start_index:]:
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parts = line.split()
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if len(parts) == 2: # 每行应该有2列数据，nm 和 Data
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try:
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nm = float(parts[0])
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data_value = float(parts[1])
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data.append({'nm': nm, 'Data': data_value})
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except ValueError:
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print(f"跳过无法解析的行: {line}")
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if not data:
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res = "ERROR: 未解析到任何有效数据"
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return res
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# 构建DataFrame
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df = pd.DataFrame(data)
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# 找到Data值最大的行
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max_data_row = df.loc[df['Data'].idxmax()]
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# 获取最大Data值对应的nm
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max_data_nm = max_data_row['nm']
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res = f"本次实验的PL峰位为: {max_data_nm} nm"
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print(res)
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return res
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