63 lines
1.6 KiB
Python
63 lines
1.6 KiB
Python
import os
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import pandas as pd
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# Path folder yang berisi data txt
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label = 100
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path = "pertalite_murni/"
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# path = f"{label}/"
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# Simpan Data
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myData = []
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for dir, folder, files in os.walk(path):
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# Menggabungkan setiap data dalam folder tertentu
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for file in files:
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df_temp = pd.read_csv(f"{dir}/{file}", delimiter=';')
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data_values = list(df_temp.columns)
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myData.append(data_values)
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# 18 Kolom
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columns = ['410nm', '435nm', '460nm','485nm',
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'510nm', '535nm', '560nm', '585nm',
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'610nm', '645nm', '680nm', '705nm',
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'730nm', '760nm', '810nm', '860nm',
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'900nm', '940nm']
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# Simpan ke dalam CSV
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df = pd.DataFrame(myData, columns=columns)
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df['Label'] = label
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df.to_excel(f"Fuel_Ron90{label}_new2.xlsx", index=False)
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# import os
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# import pandas as pd
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# # Path folder yang berisi data txt
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# label = 100
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# path = f"{label}/"
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# # Simpan Data
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# myData = []
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# for dir, folder, files in os.walk(path):
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# # Menggabungkan setiap data dalam folder tertentu
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# for file in files:
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# df_temp = pd.read_csv(f"{dir}/{file}", delimiter=';')
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# data_values = list(df_temp.columns)
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# myData.append(data_values)
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# # 18 Kolom
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# columns = ['410nm', '435nm', '460nm','485nm',
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# '510nm', '535nm', '560nm', '585nm',
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# '610nm', '645nm', '680nm', '705nm',
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# '730nm', '760nm', '810nm', '860nm',
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# '900nm', '940nm']
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# # Simpan ke dalam Excel
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# df = pd.DataFrame(myData, columns=columns)
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# df['Label'] = label
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# df.head()
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# df.to_excel(f"Fuel_{label}_new.xlsx", index=False)
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