In my project of Job-Shop Scheduling, I have to schedule fifty jobs and each job has multiple operations that can be executed on five machines. The sample CSV data of the first three jobs are as follow: Sample Dataframe .
I wana convert above dataframe into the following numpy array:
jobs_data = [ # task = (MC_ID, BURST_Time).
[(1, 20), (3, 23), (4, 20), (3, 22)], # JOB_ID = 0
[(1, 22)], # JOB_ID = 1
[(4, 22)], # JOB_ID = 2
]
I have tried using different functions but failed to get the required results.
If you are using pandas read_csv to read the file. Then you can convert to a NumPy array. pd.read_csv('<filepath>');
pd.DataFrame(dataframe).to_numpy()
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