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[Skip to main content](https://pandas.pydata.org/docs/reference/api/pandas.Series.dropna.html#main-content) Back to top Announcement: pandas 3.0 released! 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[pandas.Series.at](https://pandas.pydata.org/docs/reference/api/pandas.Series.at.html) - [pandas.Series.iat](https://pandas.pydata.org/docs/reference/api/pandas.Series.iat.html) - [pandas.Series.loc](https://pandas.pydata.org/docs/reference/api/pandas.Series.loc.html) - [pandas.Series.iloc](https://pandas.pydata.org/docs/reference/api/pandas.Series.iloc.html) - [pandas.Series.\_\_iter\_\_](https://pandas.pydata.org/docs/reference/api/pandas.Series.__iter__.html) - [pandas.Series.items](https://pandas.pydata.org/docs/reference/api/pandas.Series.items.html) - [pandas.Series.keys](https://pandas.pydata.org/docs/reference/api/pandas.Series.keys.html) - [pandas.Series.pop](https://pandas.pydata.org/docs/reference/api/pandas.Series.pop.html) - [pandas.Series.item](https://pandas.pydata.org/docs/reference/api/pandas.Series.item.html) - [pandas.Series.xs](https://pandas.pydata.org/docs/reference/api/pandas.Series.xs.html) - [pandas.Series.add](https://pandas.pydata.org/docs/reference/api/pandas.Series.add.html) - 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[pandas.Series.cov](https://pandas.pydata.org/docs/reference/api/pandas.Series.cov.html) - [pandas.Series.cummax](https://pandas.pydata.org/docs/reference/api/pandas.Series.cummax.html) - [pandas.Series.cummin](https://pandas.pydata.org/docs/reference/api/pandas.Series.cummin.html) - [pandas.Series.cumprod](https://pandas.pydata.org/docs/reference/api/pandas.Series.cumprod.html) - [pandas.Series.cumsum](https://pandas.pydata.org/docs/reference/api/pandas.Series.cumsum.html) - [pandas.Series.describe](https://pandas.pydata.org/docs/reference/api/pandas.Series.describe.html) - [pandas.Series.diff](https://pandas.pydata.org/docs/reference/api/pandas.Series.diff.html) - [pandas.Series.factorize](https://pandas.pydata.org/docs/reference/api/pandas.Series.factorize.html) - [pandas.Series.kurt](https://pandas.pydata.org/docs/reference/api/pandas.Series.kurt.html) - [pandas.Series.max](https://pandas.pydata.org/docs/reference/api/pandas.Series.max.html) - [pandas.Series.mean](https://pandas.pydata.org/docs/reference/api/pandas.Series.mean.html) - [pandas.Series.median](https://pandas.pydata.org/docs/reference/api/pandas.Series.median.html) - [pandas.Series.min](https://pandas.pydata.org/docs/reference/api/pandas.Series.min.html) - [pandas.Series.mode](https://pandas.pydata.org/docs/reference/api/pandas.Series.mode.html) - [pandas.Series.nlargest](https://pandas.pydata.org/docs/reference/api/pandas.Series.nlargest.html) - [pandas.Series.nsmallest](https://pandas.pydata.org/docs/reference/api/pandas.Series.nsmallest.html) - [pandas.Series.pct\_change](https://pandas.pydata.org/docs/reference/api/pandas.Series.pct_change.html) - [pandas.Series.prod](https://pandas.pydata.org/docs/reference/api/pandas.Series.prod.html) - [pandas.Series.quantile](https://pandas.pydata.org/docs/reference/api/pandas.Series.quantile.html) - [pandas.Series.rank](https://pandas.pydata.org/docs/reference/api/pandas.Series.rank.html) - [pandas.Series.sem](https://pandas.pydata.org/docs/reference/api/pandas.Series.sem.html) - [pandas.Series.skew](https://pandas.pydata.org/docs/reference/api/pandas.Series.skew.html) - [pandas.Series.std](https://pandas.pydata.org/docs/reference/api/pandas.Series.std.html) - [pandas.Series.sum](https://pandas.pydata.org/docs/reference/api/pandas.Series.sum.html) - [pandas.Series.var](https://pandas.pydata.org/docs/reference/api/pandas.Series.var.html) - [pandas.Series.kurtosis](https://pandas.pydata.org/docs/reference/api/pandas.Series.kurtosis.html) - [pandas.Series.unique](https://pandas.pydata.org/docs/reference/api/pandas.Series.unique.html) - [pandas.Series.nunique](https://pandas.pydata.org/docs/reference/api/pandas.Series.nunique.html) - [pandas.Series.is\_unique](https://pandas.pydata.org/docs/reference/api/pandas.Series.is_unique.html) - [pandas.Series.is\_monotonic\_increasing](https://pandas.pydata.org/docs/reference/api/pandas.Series.is_monotonic_increasing.html) - [pandas.Series.is\_monotonic\_decreasing](https://pandas.pydata.org/docs/reference/api/pandas.Series.is_monotonic_decreasing.html) - [pandas.Series.value\_counts](https://pandas.pydata.org/docs/reference/api/pandas.Series.value_counts.html) - [pandas.Series.align](https://pandas.pydata.org/docs/reference/api/pandas.Series.align.html) - [pandas.Series.case\_when](https://pandas.pydata.org/docs/reference/api/pandas.Series.case_when.html) - [pandas.Series.drop](https://pandas.pydata.org/docs/reference/api/pandas.Series.drop.html) - [pandas.Series.droplevel](https://pandas.pydata.org/docs/reference/api/pandas.Series.droplevel.html) - [pandas.Series.drop\_duplicates](https://pandas.pydata.org/docs/reference/api/pandas.Series.drop_duplicates.html) - [pandas.Series.duplicated](https://pandas.pydata.org/docs/reference/api/pandas.Series.duplicated.html) - [pandas.Series.equals](https://pandas.pydata.org/docs/reference/api/pandas.Series.equals.html) - [pandas.Series.head](https://pandas.pydata.org/docs/reference/api/pandas.Series.head.html) - [pandas.Series.idxmax](https://pandas.pydata.org/docs/reference/api/pandas.Series.idxmax.html) - [pandas.Series.idxmin](https://pandas.pydata.org/docs/reference/api/pandas.Series.idxmin.html) - [pandas.Series.isin](https://pandas.pydata.org/docs/reference/api/pandas.Series.isin.html) - [pandas.Series.reindex](https://pandas.pydata.org/docs/reference/api/pandas.Series.reindex.html) - [pandas.Series.reindex\_like](https://pandas.pydata.org/docs/reference/api/pandas.Series.reindex_like.html) - [pandas.Series.rename](https://pandas.pydata.org/docs/reference/api/pandas.Series.rename.html) - [pandas.Series.rename\_axis](https://pandas.pydata.org/docs/reference/api/pandas.Series.rename_axis.html) - [pandas.Series.reset\_index](https://pandas.pydata.org/docs/reference/api/pandas.Series.reset_index.html) - [pandas.Series.sample](https://pandas.pydata.org/docs/reference/api/pandas.Series.sample.html) - [pandas.Series.set\_axis](https://pandas.pydata.org/docs/reference/api/pandas.Series.set_axis.html) - [pandas.Series.take](https://pandas.pydata.org/docs/reference/api/pandas.Series.take.html) - [pandas.Series.tail](https://pandas.pydata.org/docs/reference/api/pandas.Series.tail.html) - [pandas.Series.truncate](https://pandas.pydata.org/docs/reference/api/pandas.Series.truncate.html) - [pandas.Series.where](https://pandas.pydata.org/docs/reference/api/pandas.Series.where.html) - [pandas.Series.mask](https://pandas.pydata.org/docs/reference/api/pandas.Series.mask.html) - [pandas.Series.add\_prefix](https://pandas.pydata.org/docs/reference/api/pandas.Series.add_prefix.html) - [pandas.Series.add\_suffix](https://pandas.pydata.org/docs/reference/api/pandas.Series.add_suffix.html) - [pandas.Series.filter](https://pandas.pydata.org/docs/reference/api/pandas.Series.filter.html) - [pandas.Series.bfill](https://pandas.pydata.org/docs/reference/api/pandas.Series.bfill.html) - [pandas.Series.dropna](https://pandas.pydata.org/docs/reference/api/pandas.Series.dropna.html) - [pandas.Series.ffill](https://pandas.pydata.org/docs/reference/api/pandas.Series.ffill.html) - [pandas.Series.fillna](https://pandas.pydata.org/docs/reference/api/pandas.Series.fillna.html) - [pandas.Series.interpolate](https://pandas.pydata.org/docs/reference/api/pandas.Series.interpolate.html) - [pandas.Series.isna](https://pandas.pydata.org/docs/reference/api/pandas.Series.isna.html) - [pandas.Series.isnull](https://pandas.pydata.org/docs/reference/api/pandas.Series.isnull.html) - [pandas.Series.notna](https://pandas.pydata.org/docs/reference/api/pandas.Series.notna.html) - [pandas.Series.notnull](https://pandas.pydata.org/docs/reference/api/pandas.Series.notnull.html) - [pandas.Series.replace](https://pandas.pydata.org/docs/reference/api/pandas.Series.replace.html) - [pandas.Series.argsort](https://pandas.pydata.org/docs/reference/api/pandas.Series.argsort.html) - [pandas.Series.argmin](https://pandas.pydata.org/docs/reference/api/pandas.Series.argmin.html) - [pandas.Series.argmax](https://pandas.pydata.org/docs/reference/api/pandas.Series.argmax.html) - [pandas.Series.reorder\_levels](https://pandas.pydata.org/docs/reference/api/pandas.Series.reorder_levels.html) - [pandas.Series.sort\_values](https://pandas.pydata.org/docs/reference/api/pandas.Series.sort_values.html) - [pandas.Series.sort\_index](https://pandas.pydata.org/docs/reference/api/pandas.Series.sort_index.html) - [pandas.Series.swaplevel](https://pandas.pydata.org/docs/reference/api/pandas.Series.swaplevel.html) - [pandas.Series.unstack](https://pandas.pydata.org/docs/reference/api/pandas.Series.unstack.html) - [pandas.Series.explode](https://pandas.pydata.org/docs/reference/api/pandas.Series.explode.html) - [pandas.Series.searchsorted](https://pandas.pydata.org/docs/reference/api/pandas.Series.searchsorted.html) - [pandas.Series.repeat](https://pandas.pydata.org/docs/reference/api/pandas.Series.repeat.html) - [pandas.Series.squeeze](https://pandas.pydata.org/docs/reference/api/pandas.Series.squeeze.html) - [pandas.Series.compare](https://pandas.pydata.org/docs/reference/api/pandas.Series.compare.html) - [pandas.Series.update](https://pandas.pydata.org/docs/reference/api/pandas.Series.update.html) - [pandas.Series.asfreq](https://pandas.pydata.org/docs/reference/api/pandas.Series.asfreq.html) - [pandas.Series.asof](https://pandas.pydata.org/docs/reference/api/pandas.Series.asof.html) - [pandas.Series.shift](https://pandas.pydata.org/docs/reference/api/pandas.Series.shift.html) - [pandas.Series.first\_valid\_index](https://pandas.pydata.org/docs/reference/api/pandas.Series.first_valid_index.html) - [pandas.Series.last\_valid\_index](https://pandas.pydata.org/docs/reference/api/pandas.Series.last_valid_index.html) - [pandas.Series.resample](https://pandas.pydata.org/docs/reference/api/pandas.Series.resample.html) - [pandas.Series.tz\_convert](https://pandas.pydata.org/docs/reference/api/pandas.Series.tz_convert.html) - [pandas.Series.tz\_localize](https://pandas.pydata.org/docs/reference/api/pandas.Series.tz_localize.html) - [pandas.Series.at\_time](https://pandas.pydata.org/docs/reference/api/pandas.Series.at_time.html) - [pandas.Series.between\_time](https://pandas.pydata.org/docs/reference/api/pandas.Series.between_time.html) - [pandas.Series.str](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.html) - [pandas.Series.cat](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.html) - [pandas.Series.dt](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.html) - [pandas.Series.sparse](https://pandas.pydata.org/docs/reference/api/pandas.Series.sparse.html) - [pandas.DataFrame.sparse](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sparse.html) - [pandas.Index.str](https://pandas.pydata.org/docs/reference/api/pandas.Index.str.html) - [pandas.Series.dt.date](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.date.html) - [pandas.Series.dt.time](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.time.html) - [pandas.Series.dt.timetz](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.timetz.html) - [pandas.Series.dt.year](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.year.html) - [pandas.Series.dt.month](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.month.html) - [pandas.Series.dt.day](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.day.html) - [pandas.Series.dt.hour](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.hour.html) - [pandas.Series.dt.minute](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.minute.html) - [pandas.Series.dt.second](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.second.html) - [pandas.Series.dt.microsecond](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.microsecond.html) - [pandas.Series.dt.nanosecond](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.nanosecond.html) - [pandas.Series.dt.dayofweek](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.dayofweek.html) - [pandas.Series.dt.day\_of\_week](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.day_of_week.html) - [pandas.Series.dt.weekday](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.weekday.html) - [pandas.Series.dt.dayofyear](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.dayofyear.html) - [pandas.Series.dt.day\_of\_year](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.day_of_year.html) - [pandas.Series.dt.days\_in\_month](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.days_in_month.html) - [pandas.Series.dt.quarter](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.quarter.html) - [pandas.Series.dt.is\_month\_start](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.is_month_start.html) - [pandas.Series.dt.is\_month\_end](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.is_month_end.html) - [pandas.Series.dt.is\_quarter\_start](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.is_quarter_start.html) - [pandas.Series.dt.is\_quarter\_end](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.is_quarter_end.html) - [pandas.Series.dt.is\_year\_start](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.is_year_start.html) - [pandas.Series.dt.is\_year\_end](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.is_year_end.html) - [pandas.Series.dt.is\_leap\_year](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.is_leap_year.html) - [pandas.Series.dt.daysinmonth](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.daysinmonth.html) - [pandas.Series.dt.days\_in\_month](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.days_in_month.html) - [pandas.Series.dt.tz](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.tz.html) - [pandas.Series.dt.freq](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.freq.html) - [pandas.Series.dt.unit](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.unit.html) - [pandas.Series.dt.isocalendar](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.isocalendar.html) - [pandas.Series.dt.to\_period](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.to_period.html) - [pandas.Series.dt.to\_pydatetime](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.to_pydatetime.html) - [pandas.Series.dt.tz\_localize](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.tz_localize.html) - [pandas.Series.dt.tz\_convert](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.tz_convert.html) - [pandas.Series.dt.normalize](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.normalize.html) - [pandas.Series.dt.strftime](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.strftime.html) - [pandas.Series.dt.round](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.round.html) - [pandas.Series.dt.floor](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.floor.html) - [pandas.Series.dt.ceil](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.ceil.html) - [pandas.Series.dt.month\_name](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.month_name.html) - [pandas.Series.dt.day\_name](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.day_name.html) - [pandas.Series.dt.as\_unit](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.as_unit.html) - [pandas.Series.dt.qyear](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.qyear.html) - [pandas.Series.dt.start\_time](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.start_time.html) - [pandas.Series.dt.end\_time](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.end_time.html) - [pandas.Series.dt.days](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.days.html) - [pandas.Series.dt.seconds](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.seconds.html) - [pandas.Series.dt.microseconds](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.microseconds.html) - [pandas.Series.dt.nanoseconds](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.nanoseconds.html) - [pandas.Series.dt.components](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.components.html) - [pandas.Series.dt.unit](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.unit.html) - [pandas.Series.dt.to\_pytimedelta](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.to_pytimedelta.html) - [pandas.Series.dt.total\_seconds](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.total_seconds.html) - [pandas.Series.dt.as\_unit](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.as_unit.html) - [pandas.Series.str.capitalize](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.capitalize.html) - [pandas.Series.str.casefold](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.casefold.html) - [pandas.Series.str.cat](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.cat.html) - [pandas.Series.str.center](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.center.html) - [pandas.Series.str.contains](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.contains.html) - [pandas.Series.str.count](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.count.html) - [pandas.Series.str.decode](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.decode.html) - [pandas.Series.str.encode](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.encode.html) - [pandas.Series.str.endswith](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.endswith.html) - [pandas.Series.str.extract](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.extract.html) - [pandas.Series.str.extractall](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.extractall.html) - [pandas.Series.str.find](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.find.html) - [pandas.Series.str.findall](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.findall.html) - [pandas.Series.str.fullmatch](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.fullmatch.html) - [pandas.Series.str.get](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.get.html) - [pandas.Series.str.index](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.index.html) - [pandas.Series.str.isascii](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.isascii.html) - [pandas.Series.str.join](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.join.html) - [pandas.Series.str.len](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.len.html) - [pandas.Series.str.ljust](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.ljust.html) - [pandas.Series.str.lower](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.lower.html) - [pandas.Series.str.lstrip](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.lstrip.html) - [pandas.Series.str.match](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.match.html) - [pandas.Series.str.normalize](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.normalize.html) - [pandas.Series.str.pad](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.pad.html) - [pandas.Series.str.partition](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.partition.html) - [pandas.Series.str.removeprefix](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.removeprefix.html) - [pandas.Series.str.removesuffix](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.removesuffix.html) - [pandas.Series.str.repeat](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.repeat.html) - [pandas.Series.str.replace](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.replace.html) - [pandas.Series.str.rfind](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.rfind.html) - [pandas.Series.str.rindex](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.rindex.html) - [pandas.Series.str.rjust](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.rjust.html) - [pandas.Series.str.rpartition](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.rpartition.html) - [pandas.Series.str.rstrip](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.rstrip.html) - [pandas.Series.str.slice](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.slice.html) - [pandas.Series.str.slice\_replace](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.slice_replace.html) - [pandas.Series.str.split](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.split.html) - [pandas.Series.str.rsplit](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.rsplit.html) - [pandas.Series.str.startswith](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.startswith.html) - [pandas.Series.str.strip](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.strip.html) - [pandas.Series.str.swapcase](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.swapcase.html) - [pandas.Series.str.title](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.title.html) - [pandas.Series.str.translate](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.translate.html) - [pandas.Series.str.upper](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.upper.html) - [pandas.Series.str.wrap](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.wrap.html) - [pandas.Series.str.zfill](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.zfill.html) - [pandas.Series.str.isalnum](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.isalnum.html) - [pandas.Series.str.isalpha](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.isalpha.html) - [pandas.Series.str.isdigit](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.isdigit.html) - [pandas.Series.str.isspace](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.isspace.html) - [pandas.Series.str.islower](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.islower.html) - [pandas.Series.str.isupper](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.isupper.html) - [pandas.Series.str.istitle](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.istitle.html) - [pandas.Series.str.isnumeric](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.isnumeric.html) - [pandas.Series.str.isdecimal](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.isdecimal.html) - [pandas.Series.str.get\_dummies](https://pandas.pydata.org/docs/reference/api/pandas.Series.str.get_dummies.html) - [pandas.Series.cat.categories](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.categories.html) - [pandas.Series.cat.ordered](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.ordered.html) - [pandas.Series.cat.codes](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.codes.html) - [pandas.Series.cat.rename\_categories](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.rename_categories.html) - [pandas.Series.cat.reorder\_categories](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.reorder_categories.html) - [pandas.Series.cat.add\_categories](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.add_categories.html) - [pandas.Series.cat.remove\_categories](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.remove_categories.html) - [pandas.Series.cat.remove\_unused\_categories](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.remove_unused_categories.html) - [pandas.Series.cat.set\_categories](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.set_categories.html) - [pandas.Series.cat.as\_ordered](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.as_ordered.html) - [pandas.Series.cat.as\_unordered](https://pandas.pydata.org/docs/reference/api/pandas.Series.cat.as_unordered.html) - [pandas.Series.sparse.npoints](https://pandas.pydata.org/docs/reference/api/pandas.Series.sparse.npoints.html) - [pandas.Series.sparse.density](https://pandas.pydata.org/docs/reference/api/pandas.Series.sparse.density.html) - [pandas.Series.sparse.fill\_value](https://pandas.pydata.org/docs/reference/api/pandas.Series.sparse.fill_value.html) - [pandas.Series.sparse.sp\_values](https://pandas.pydata.org/docs/reference/api/pandas.Series.sparse.sp_values.html) - [pandas.Series.sparse.from\_coo](https://pandas.pydata.org/docs/reference/api/pandas.Series.sparse.from_coo.html) - [pandas.Series.sparse.to\_coo](https://pandas.pydata.org/docs/reference/api/pandas.Series.sparse.to_coo.html) - [pandas.Series.list.flatten](https://pandas.pydata.org/docs/reference/api/pandas.Series.list.flatten.html) - [pandas.Series.list.len](https://pandas.pydata.org/docs/reference/api/pandas.Series.list.len.html) - [pandas.Series.list.\_\_getitem\_\_](https://pandas.pydata.org/docs/reference/api/pandas.Series.list.__getitem__.html) - [pandas.Series.struct.dtypes](https://pandas.pydata.org/docs/reference/api/pandas.Series.struct.dtypes.html) - [pandas.Series.struct.field](https://pandas.pydata.org/docs/reference/api/pandas.Series.struct.field.html) - [pandas.Series.struct.explode](https://pandas.pydata.org/docs/reference/api/pandas.Series.struct.explode.html) - [pandas.Flags](https://pandas.pydata.org/docs/reference/api/pandas.Flags.html) - [pandas.Series.attrs](https://pandas.pydata.org/docs/reference/api/pandas.Series.attrs.html) - [pandas.Series.plot](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.html) - [pandas.Series.plot.area](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.area.html) - [pandas.Series.plot.bar](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.bar.html) - [pandas.Series.plot.barh](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.barh.html) - [pandas.Series.plot.box](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.box.html) - [pandas.Series.plot.density](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.density.html) - [pandas.Series.plot.hist](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.hist.html) - [pandas.Series.plot.kde](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.kde.html) - [pandas.Series.plot.line](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.line.html) - [pandas.Series.plot.pie](https://pandas.pydata.org/docs/reference/api/pandas.Series.plot.pie.html) - [pandas.Series.hist](https://pandas.pydata.org/docs/reference/api/pandas.Series.hist.html) - [pandas.Series.from\_arrow](https://pandas.pydata.org/docs/reference/api/pandas.Series.from_arrow.html) - [pandas.Series.to\_pickle](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_pickle.html) - [pandas.Series.to\_csv](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_csv.html) - [pandas.Series.to\_dict](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_dict.html) - [pandas.Series.to\_excel](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_excel.html) - [pandas.Series.to\_frame](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_frame.html) - [pandas.Series.to\_xarray](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_xarray.html) - [pandas.Series.to\_hdf](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_hdf.html) - [pandas.Series.to\_sql](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_sql.html) - [pandas.Series.to\_json](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_json.html) - [pandas.Series.to\_string](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_string.html) - [pandas.Series.to\_clipboard](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_clipboard.html) - [pandas.Series.to\_latex](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_latex.html) - [pandas.Series.to\_markdown](https://pandas.pydata.org/docs/reference/api/pandas.Series.to_markdown.html) - [DataFrame](https://pandas.pydata.org/docs/reference/frame.html) - [pandas arrays, scalars, and data types](https://pandas.pydata.org/docs/reference/arrays.html) - [Index objects](https://pandas.pydata.org/docs/reference/indexing.html) - [Date offsets](https://pandas.pydata.org/docs/reference/offset_frequency.html) - [Window](https://pandas.pydata.org/docs/reference/window.html) - [GroupBy](https://pandas.pydata.org/docs/reference/groupby.html) - [Resampling](https://pandas.pydata.org/docs/reference/resampling.html) - [Style](https://pandas.pydata.org/docs/reference/style.html) - [Plotting](https://pandas.pydata.org/docs/reference/plotting.html) - [Options and settings](https://pandas.pydata.org/docs/reference/options.html) - [Extensions](https://pandas.pydata.org/docs/reference/extensions.html) - [Testing](https://pandas.pydata.org/docs/reference/testing.html) - [Missing values](https://pandas.pydata.org/docs/reference/missing_value.html) - [pandas typing aliases](https://pandas.pydata.org/docs/reference/aliases.html) - [API reference](https://pandas.pydata.org/docs/reference/index.html) - [Series](https://pandas.pydata.org/docs/reference/series.html) - pandas.Series.dropna # pandas.Series.dropna[\#](https://pandas.pydata.org/docs/reference/api/pandas.Series.dropna.html#pandas-series-dropna "Link to this heading") Series.dropna(*\**, *axis\=0*, *inplace\=False*, *how\=None*, *ignore\_index\=False*)[\[source\]](https://github.com/pandas-dev/pandas/blob/v3.0.2/pandas/core/series.py#L6422-L6514)[\#](https://pandas.pydata.org/docs/reference/api/pandas.Series.dropna.html#pandas.Series.dropna "Link to this definition") Return a new Series with missing values removed. See the [User Guide](https://pandas.pydata.org/docs/user_guide/missing_data.html#missing-data) for more on which values are considered missing, and how to work with missing data. Parameters: **axis**{0 or ‘index’} Unused. Parameter needed for compatibility with DataFrame. **inplace**bool, default False If True, do operation inplace and return None. **how**str, optional Not in use. Kept for compatibility. **ignore\_index**bool, default `False` If `True`, the resulting axis will be labeled 0, 1, …, n - 1. Added in version 2.0.0. Returns: Series or None Series with NA entries dropped from it or None if `inplace=True`. See also [`Series.isna`](https://pandas.pydata.org/docs/reference/api/pandas.Series.isna.html#pandas.Series.isna "pandas.Series.isna") Indicate missing values. [`Series.notna`](https://pandas.pydata.org/docs/reference/api/pandas.Series.notna.html#pandas.Series.notna "pandas.Series.notna") Indicate existing (non-missing) values. [`Series.fillna`](https://pandas.pydata.org/docs/reference/api/pandas.Series.fillna.html#pandas.Series.fillna "pandas.Series.fillna") Replace missing values. [`DataFrame.dropna`](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dropna.html#pandas.DataFrame.dropna "pandas.DataFrame.dropna") Drop rows or columns which contain NA values. [`Index.dropna`](https://pandas.pydata.org/docs/reference/api/pandas.Index.dropna.html#pandas.Index.dropna "pandas.Index.dropna") Drop missing indices. Examples ``` >>> ser = pd.Series([1.0, 2.0, np.nan]) >>> ser 0 1.0 1 2.0 2 NaN dtype: float64 ``` Drop NA values from a Series. ``` >>> ser.dropna() 0 1.0 1 2.0 dtype: float64 ``` Empty strings are not considered NA values. `None` is considered an NA value. ``` >>> ser = pd.Series([np.nan, 2, pd.NaT, "", None, "I stay"]) >>> ser 0 NaN 1 2 2 NaT 3 4 None 5 I stay dtype: object >>> ser.dropna() 1 2 3 5 I stay dtype: object ``` [previous pandas.Series.bfill](https://pandas.pydata.org/docs/reference/api/pandas.Series.bfill.html "previous page") [next pandas.Series.ffill](https://pandas.pydata.org/docs/reference/api/pandas.Series.ffill.html "next page") On this page - [`Series.dropna()`](https://pandas.pydata.org/docs/reference/api/pandas.Series.dropna.html#pandas.Series.dropna) © 2026, pandas via [NumFOCUS, Inc.](https://numfocus.org/) Hosted by [OVHcloud](https://www.ovhcloud.com/). Created using [Sphinx](https://www.sphinx-doc.org/) 9.0.4. 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Series.dropna(*\**, *axis\=0*, *inplace\=False*, *how\=None*, *ignore\_index\=False*)[\[source\]](https://github.com/pandas-dev/pandas/blob/v3.0.2/pandas/core/series.py#L6422-L6514)[\#](https://pandas.pydata.org/docs/reference/api/pandas.Series.dropna.html#pandas.Series.dropna "Link to this definition") Return a new Series with missing values removed. See the [User Guide](https://pandas.pydata.org/docs/user_guide/missing_data.html#missing-data) for more on which values are considered missing, and how to work with missing data. Parameters: **axis**{0 or ‘index’} Unused. Parameter needed for compatibility with DataFrame. **inplace**bool, default False If True, do operation inplace and return None. **how**str, optional Not in use. Kept for compatibility. **ignore\_index**bool, default `False` If `True`, the resulting axis will be labeled 0, 1, …, n - 1. Added in version 2.0.0. Returns: Series or None Series with NA entries dropped from it or None if `inplace=True`. Examples ``` >>> ser = pd.Series([1.0, 2.0, np.nan]) >>> ser 0 1.0 1 2.0 2 NaN dtype: float64 ``` Drop NA values from a Series. ``` >>> ser.dropna() 0 1.0 1 2.0 dtype: float64 ``` Empty strings are not considered NA values. `None` is considered an NA value. ``` >>> ser = pd.Series([np.nan, 2, pd.NaT, "", None, "I stay"]) >>> ser 0 NaN 1 2 2 NaT 3 4 None 5 I stay dtype: object >>> ser.dropna() 1 2 3 5 I stay dtype: object ```