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