因为Isight优化后的翼型数据为txt数据，这里使用python将txt文件转换为CSV文件
######txt文件转换成csv文件 import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) # 1.以csv方式打开txt文件 dg =pd.read_csv('D:\work\xiangmu\Airfoil OptimizationCode\airfoil_optimize_data.txt', delim_whitespace=True, skiprows=[0], header=None) # 2.添加表头 # dg = dg.rename(columns = {0:'Time (seconds)', 1:'Methane conc (ppm)', 2:'Ethylene conc (ppm)',3:'Sensor1',4:'Sensor2',5:'Sensor3',6:'Sensor4',7:'Sensor5',8:'Sensor6',9:'Sensor7',10:'Sensor8',11:'Sensor9',12:'Sensor10',13:'Sensor11',14:'Sensor12',15:'Sensor13',16:'Sensor14',17:'Sensor15',18:'Sensor16'}) # 3.保存csv文件 dg.to_csv('airfoil_optimize_data.csv')
注意生成后
