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    * [ pandas.Series.rmod ](pandas.Series.rmod.html)
    * [ pandas.Series.rpow ](pandas.Series.rpow.html)
    * [ pandas.Series.combine ](pandas.Series.combine.html)
    * [ pandas.Series.combine_first ](pandas.Series.combine_first.html)
    * [ pandas.Series.round ](pandas.Series.round.html)
    * [ pandas.Series.lt ](pandas.Series.lt.html)
    * [ pandas.Series.gt ](pandas.Series.gt.html)
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    * [ pandas.Series.ge ](pandas.Series.ge.html)
    * [ pandas.Series.ne ](pandas.Series.ne.html)
    * [ pandas.Series.eq ](pandas.Series.eq.html)
    * [ pandas.Series.product ](pandas.Series.product.html)
    * [ pandas.Series.dot ](pandas.Series.dot.html)
    * [ pandas.Series.apply ](pandas.Series.apply.html)
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    * [ pandas.Series.aggregate ](pandas.Series.aggregate.html)
    * [ pandas.Series.transform ](pandas.Series.transform.html)
    * [ pandas.Series.map ](pandas.Series.map.html)
    * [ pandas.Series.groupby ](pandas.Series.groupby.html)
    * [ pandas.Series.rolling ](pandas.Series.rolling.html)
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    * [ pandas.Series.ewm ](pandas.Series.ewm.html)
    * [ pandas.Series.pipe ](pandas.Series.pipe.html)
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    * [ pandas.Series.all ](pandas.Series.all.html)
    * [ pandas.Series.any ](pandas.Series.any.html)
    * [ pandas.Series.autocorr ](pandas.Series.autocorr.html)
    * [ pandas.Series.between ](pandas.Series.between.html)
    * [ pandas.Series.clip ](pandas.Series.clip.html)
    * [ pandas.Series.corr ](pandas.Series.corr.html)
    * [ pandas.Series.count ](pandas.Series.count.html)
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    * [ pandas.Series.cummax ](pandas.Series.cummax.html)
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    * [ pandas.Series.cumprod ](pandas.Series.cumprod.html)
    * [ pandas.Series.cumsum ](pandas.Series.cumsum.html)
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    * [ pandas.Series.kurtosis ](pandas.Series.kurtosis.html)
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    * [ pandas.Series.value_counts ](pandas.Series.value_counts.html)
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    * [ pandas.Series.drop ](pandas.Series.drop.html)
    * [ pandas.Series.droplevel ](pandas.Series.droplevel.html)
    * [ pandas.Series.drop_d