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update main
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module-23-evidently/demo/main.py

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@@ -32,7 +32,7 @@ def load_and_clean(path: str) -> pd.DataFrame:
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df["price"].astype(str).str.replace(r"[\$,]", "", regex=True).astype(float)
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)
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df = df.dropna()
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# Drop extreme price outliers so the drift charts show the actual distribution
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# Drop extreme price outliers
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return df[df["price"] <= MAX_PRICE]
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