2026-02-02 11:37:16 +01:00
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import pandas as pd
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def load_and_clean_data(flows_path, aum_path, rates_path, gov_path):
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"""
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Loads raw CSVs and parses dates for consistent time-series analysis.
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"""
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2026-02-02 12:31:08 +01:00
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2026-02-02 11:37:16 +01:00
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flows = pd.read_csv(flows_path)
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flows['Centralisation Date'] = pd.to_datetime(flows['Centralisation Date'])
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aum = pd.read_csv(aum_path)
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aum['Centralisation Date'] = pd.to_datetime(aum['Centralisation Date'])
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2026-02-02 12:31:08 +01:00
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2026-02-02 11:37:16 +01:00
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rates = pd.read_csv(rates_path)
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try:
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rates['Date'] = pd.to_datetime(rates['Date'], dayfirst=True)
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except:
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rates['Date'] = pd.to_datetime(rates['Date'])
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gov = pd.read_csv(gov_path)
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gov['Date'] = pd.to_datetime(gov['Date'])
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return flows, aum, rates, gov
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