DataFrame.reset_index(level=None, drop=False, inplace=False, col_level=0, col_fill='')
Panel.interpolate(method='linear', axis=0, limit=None, inplace=False, limit_direction='forward', downcast=None, **kwargs)
Series.multiply(other, level=None, fill_value=None, axis=0)
Series.head(n=5)
CategoricalIndex.max(*args, **kwargs)
CategoricalIndex.is_categorical()
DatetimeIndex.is_object()
pandas.date_range(start=None, end=None, periods=None, freq='D', tz=None, normalize=False, name=None, closed=None, **kwargs)
DataFrame.last_valid_index()
DataFrameGroupBy.cov(min_periods=None) Compute pairwise covariance of columns, excluding NA/null values
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