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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def apply_filters(df, filters):
 """Basic filtering for a dataframe."""

        idx = pd.Series([True]*df.shape[0])
        for k, v in list(filters.items()):
            if k not in df.columns:
                continue
            idx &= (df[k] == v)

        return df.loc[idx]