FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
https://doi.org/10.1109/TVCG.2022.3141040
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25 lines
683 B
25 lines
683 B
#!/usr/bin/env python
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import sys
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import pandas as pd
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import pymongo
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import json
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import os
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def import_content(filepath):
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mng_client = pymongo.MongoClient('localhost', 27017)
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mng_db = mng_client['mydb']
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#collection_name = 'StanceCTest'
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collection_name = 'HeartC'
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db_cm = mng_db[collection_name]
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cdir = os.path.dirname(__file__)
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file_res = os.path.join(cdir, filepath)
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data = pd.read_csv(file_res)
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data_json = json.loads(data.to_json(orient='records'))
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db_cm.remove()
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db_cm.insert(data_json)
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if __name__ == "__main__":
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filepath = '/Users/anchaa/Documents/Research/FeatureEnVi_code/extra_data_sets/heart.csv'
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import_content(filepath) |