2023-02-15 15:38:11 +01:00
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# import pandas with shortcut 'pd'
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import pandas as pd
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import os
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from pyproj import Transformer, transform
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transformer = Transformer.from_crs(2154, 4326)
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headers = [
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'section',
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'nofinesset',
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'nofinessej',
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'rs',
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'rslongue',
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'complrs',
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'compldistrib',
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'numvoie',
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'typvoie',
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'voie',
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'compvoie',
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'lieuditbp',
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'commune',
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'departement',
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'libdepartement',
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'ligneacheminement',
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'telephone',
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'telecopie',
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'categetab',
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'libcategetab',
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'categagretab',
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'libcategagretab',
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'siret',
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'codeape',
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'codemft',
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'libmft',
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'codesph',
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'libsph',
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'dateouv',
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'dateautor',
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'maj',
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'numuai',
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'coordxet',
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'coordyet',
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'sourcecoordet',
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'datemaj'
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]
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# read_csv function which is used to read the required CSV file
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data = pd.read_csv('./finess-clean.csv', sep=",", dtype='str', names=headers)
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# display
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#print("Original 'input.csv' CSV Data: \n")
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#print(data)
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header_drop = [
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'section',
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# 'nofinesset',
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'nofinessej',
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2023-02-24 14:14:28 +01:00
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#'rs',
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2023-02-15 15:38:11 +01:00
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#'rslongue',
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'complrs',
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'compldistrib',
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'numvoie',
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'typvoie',
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'voie',
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'compvoie',
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'lieuditbp',
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'commune',
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#'departement',
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'libdepartement',
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2023-03-02 11:11:50 +01:00
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#'ligneacheminement',
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2023-02-15 15:38:11 +01:00
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#'telephone',
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'telecopie',
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'categetab',
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'libcategetab',
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'categagretab',
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'libcategagretab',
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#'siret',
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'codeape',
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'codemft',
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'libmft',
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'codesph',
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'libsph',
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'dateouv',
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'dateautor',
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'maj',
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'numuai',
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#'coordxet',
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#'coordyet',
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'sourcecoordet',
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'datemaj'
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]
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data = data.query('categetab == "603"')
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# drop function which is used in removing or deleting rows or columns from the CSV files
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data.drop(header_drop, inplace=True, axis=1)
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def convertCoord (row):
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row.coordxet, row.coordyet = transformer.transform(row.coordxet, row.coordyet)
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return row
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data.transform(convertCoord, axis=1)
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data.to_json('../static/data.json', orient='values') #https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_json.html?highlight=to_json#pandas.DataFrame.to_json
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