duplicates ](pandas.Series.drop_duplicates.html)
    * [ pandas.Series.duplicated ](pandas.Series.duplicated.html)
    * [ pandas.Series.equals ](pandas.Series.equals.html)
    * [ pandas.Series.first ](pandas.Series.first.html)
    * [ pandas.Series.head ](pandas.Series.head.html)
    * [ pandas.Series.idxmax ](pandas.Series.idxmax.html)
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    * [ pandas.Series.isin ](pandas.Series.isin.html)
    * [ pandas.Series.last ](pandas.Series.last.html)
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    * [ pandas.Series.reindex_like ](pandas.Series.reindex_like.html)
    * [ pandas.Series.rename ](pandas.Series.rename.html)
    * [ pandas.Series.rename_axis ](pandas.Series.rename_axis.html)
    * [ pandas.Series.reset_index ](pandas.Series.reset_index.html)
    * [ pandas.Series.sample ](pandas.Series.sample.html)
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    * [ pandas.Series.take ](pandas.Series.take.html)
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    * [ pandas.Series.where ](pandas.Series.where.html)
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    * [ pandas.Series.add_prefix ](pandas.Series.add_prefix.html)
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    * [ pandas.Series.filter ](pandas.Series.filter.html)
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    * [ pandas.Series.ffill ](pandas.Series.ffill.html)
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    * [ pandas.Series.interpolate ](pandas.Series.interpolate.html)
    * [ pandas.Series.isna ](pandas.Series.isna.html)
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    * [ pandas.Series.argsort ](pandas.Series.argsort.html)
    * [ pandas.Series.argmin ](pandas.Series.argmin.html)
    * [ pandas.Series.argmax ](pandas.Series.argmax.html)
    * [ pandas.Series.reorder_levels ](pandas.Series.reorder_levels.html)
    * [ pandas.Series.sort_values ](pandas.Series.sort_values.html)
    * [ pandas.Series.sort_index ](pandas.Series.sort_index.html)
    * [ pandas.Series.swaplevel ](pandas.Series.swaplevel.html)
    * [ pandas.Series.unstack ](pandas.Series.unstack.html)
    * [ pandas.Series.explode ](pandas.Series.explode.html)
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    * [ pandas.Series.asfreq ](pandas.Series.asfreq.html)
    * [ pandas.Series.asof ](pandas.Series.asof.html)
    * [ pandas.Series.shift ](pandas.Series.shift.html)
    * [ pandas.Series.first_valid_index ](pandas.Series.first_valid_index.html)
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    * [ pandas.Series.resample ](pandas.Series.resample.html)
    * [ pandas.Series.tz_convert ](pandas.Series.tz_convert.html)
    * [ pandas.Series.tz_localize ](pandas.Series.tz_localize.html)
    * [ pandas.Series.at_time ](pandas.Series.at_time.html)
    * [ pandas.Series.between_time ](pandas.Series.between_time.html)
    * [ pandas.Series.str ](pandas.Series.str.html)
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    * [ pandas.Series.sparse ](pandas.Series.sparse.html)
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