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test.py 359 B

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  1. """import os
  2. path="notebooks/research.ipynb"
  3. dir,file=os.path.split(path)
  4. os.makedirs(dir,exist_ok=True)
  5. with open(path,"w") as f:
  6. pass"""
  7. from src.DimondPricePrediction.pipelines.prediction_pipeline import CustomData
  8. custdataobj = CustomData(2.03,62.0,58.0,8.06,8.12,5.05,"Very Good","J","SI2")
  9. data=custdataobj.get_data_as_dataframe()
  10. print(data)
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