27 lines
565 B
Python
27 lines
565 B
Python
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import polars as pl
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import pandas as pd
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import data
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inst = data.load()
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#test = inst.price().pl()
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test = inst.price_developement_per_property().pl()
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data = []
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propIds = test.get_column('property_id').to_list()
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propIds = list(dict.fromkeys(propIds))
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for id in propIds:
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dates = []
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prices = []
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new_dict = {}
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temp = test.filter(property_id=id)
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for row in temp.iter_rows():
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new_dict[row[2].date().strftime("%Y/%m/%d")] = row[0]
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data.append([id, new_dict])
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df = pd.DataFrame(data)
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df.to_csv('results/priceAccuracyDict.csv')
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print(df)
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