adding gameplan for constructing two csv file from pandas after shopping api call; for main data and training set
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@ -191,6 +191,9 @@ class CurateData:
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to_json = json.dumps(data)
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raw_df = pd.read_json(to_json)
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return raw_df
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# TODO You will have to mess around more with pandas df to find a better solution to creating your csv file: i.e., create dataframe from from instances, run through process to customize your df
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# for final training set for your ml model training. Contemplate on the future... you want ability to update main csv AND training csv; one for updating raw data instances from search queries, and
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# the other for updating your training set.
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def main():
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