@@ -701,6 +701,7 @@ adding ordering information or special categories is need at creation time of th
701701 Categorical.categories
702702 Categorical.ordered
703703 Categorical.codes
704+ Categorical.dtype
704705 Categorical.from_codes
705706
706707``np.asarray(categorical) `` works by implementing the array interface. Be aware, that this converts
@@ -801,11 +802,14 @@ Attributes and underlying data
801802 DataFrame.get_ftype_counts
802803 DataFrame.select_dtypes
803804 DataFrame.values
805+ DataFrame.get_values
804806 DataFrame.axes
805807 DataFrame.ndim
806808 DataFrame.size
807809 DataFrame.shape
808810 DataFrame.memory_usage
811+ DataFrame.empty
812+ DataFrame.is_copy
809813
810814Conversion
811815~~~~~~~~~~
@@ -818,6 +822,7 @@ Conversion
818822 DataFrame.copy
819823 DataFrame.isna
820824 DataFrame.notna
825+ DataFrame.bool
821826
822827Indexing, iteration
823828~~~~~~~~~~~~~~~~~~~
@@ -830,14 +835,18 @@ Indexing, iteration
830835 DataFrame.loc
831836 DataFrame.iloc
832837 DataFrame.insert
838+ DataFrame.insert
833839 DataFrame.__iter__
840+ DataFrame.items
841+ DataFrame.keys
834842 DataFrame.iteritems
835843 DataFrame.iterrows
836844 DataFrame.itertuples
837845 DataFrame.lookup
838846 DataFrame.pop
839847 DataFrame.tail
840848 DataFrame.xs
849+ DataFrame.get
841850 DataFrame.isin
842851 DataFrame.where
843852 DataFrame.mask
@@ -854,12 +863,16 @@ Binary operator functions
854863
855864 DataFrame.add
856865 DataFrame.sub
866+ DataFrame.subtract
857867 DataFrame.mul
868+ DataFrame.multiply
858869 DataFrame.div
870+ DataFrame.divide
859871 DataFrame.truediv
860872 DataFrame.floordiv
861873 DataFrame.mod
862874 DataFrame.pow
875+ DataFrame.dot
863876 DataFrame.radd
864877 DataFrame.rsub
865878 DataFrame.rmul
@@ -884,6 +897,8 @@ Function application, GroupBy & Window
884897
885898 DataFrame.apply
886899 DataFrame.applymap
900+ DataFrame.pipe
901+ DataFrame.agg
887902 DataFrame.aggregate
888903 DataFrame.transform
889904 DataFrame.groupby
@@ -904,6 +919,7 @@ Computations / Descriptive Stats
904919 DataFrame.clip
905920 DataFrame.clip_lower
906921 DataFrame.clip_upper
922+ DataFrame.compound
907923 DataFrame.corr
908924 DataFrame.corrwith
909925 DataFrame.count
@@ -916,6 +932,7 @@ Computations / Descriptive Stats
916932 DataFrame.diff
917933 DataFrame.eval
918934 DataFrame.kurt
935+ DataFrame.kurtosis
919936 DataFrame.mad
920937 DataFrame.max
921938 DataFrame.mean
@@ -924,6 +941,7 @@ Computations / Descriptive Stats
924941 DataFrame.mode
925942 DataFrame.pct_change
926943 DataFrame.prod
944+ DataFrame.product
927945 DataFrame.quantile
928946 DataFrame.rank
929947 DataFrame.round
@@ -932,6 +950,7 @@ Computations / Descriptive Stats
932950 DataFrame.sum
933951 DataFrame.std
934952 DataFrame.var
953+ DataFrame.nunique
935954
936955Reindexing / Selection / Label manipulation
937956~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -941,6 +960,8 @@ Reindexing / Selection / Label manipulation
941960 DataFrame.add_prefix
942961 DataFrame.add_suffix
943962 DataFrame.align
963+ DataFrame.at_time
964+ DataFrame.between_time
944965 DataFrame.drop
945966 DataFrame.drop_duplicates
946967 DataFrame.duplicated
@@ -959,6 +980,7 @@ Reindexing / Selection / Label manipulation
959980 DataFrame.reset_index
960981 DataFrame.sample
961982 DataFrame.select
983+ DataFrame.set_axis
962984 DataFrame.set_index
963985 DataFrame.tail
964986 DataFrame.take
@@ -974,13 +996,17 @@ Missing data handling
974996 DataFrame.dropna
975997 DataFrame.fillna
976998 DataFrame.replace
999+ DataFrame.interpolate
1000+ DataFrame.isnull
1001+ DataFrame.notnull
9771002
9781003Reshaping, sorting, transposing
9791004~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
9801005.. autosummary ::
9811006 :toctree: generated/
9821007
9831008 DataFrame.pivot
1009+ DataFrame.pivot_table
9841010 DataFrame.reorder_levels
9851011 DataFrame.sort_values
9861012 DataFrame.sort_index
@@ -989,10 +1015,12 @@ Reshaping, sorting, transposing
9891015 DataFrame.swaplevel
9901016 DataFrame.stack
9911017 DataFrame.unstack
1018+ DataFrame.swapaxes
9921019 DataFrame.melt
993- DataFrame.T
1020+ DataFrame.squeeze
9941021 DataFrame.to_panel
9951022 DataFrame.to_xarray
1023+ DataFrame.T
9961024 DataFrame.transpose
9971025
9981026Combining / joining / merging
@@ -1014,6 +1042,8 @@ Time series-related
10141042 DataFrame.asfreq
10151043 DataFrame.asof
10161044 DataFrame.shift
1045+ DataFrame.slice_shift
1046+ DataFrame.tshift
10171047 DataFrame.first_valid_index
10181048 DataFrame.last_valid_index
10191049 DataFrame.resample
@@ -1068,6 +1098,7 @@ Serialization / IO / Conversion
10681098 DataFrame.from_items
10691099 DataFrame.from_records
10701100 DataFrame.info
1101+ DataFrame.to_parquet
10711102 DataFrame.to_pickle
10721103 DataFrame.to_csv
10731104 DataFrame.to_hdf
@@ -1086,6 +1117,7 @@ Serialization / IO / Conversion
10861117 DataFrame.to_dense
10871118 DataFrame.to_string
10881119 DataFrame.to_clipboard
1120+ DataFrame.style
10891121
10901122Sparse
10911123~~~~~~
@@ -2313,3 +2345,26 @@ Scalar introspection
23132345 api.types.is_re
23142346 api.types.is_re_compilable
23152347 api.types.is_scalar
2348+
2349+
2350+ .. This is to prevent warnings in the doc build. We don't want to encourage
2351+ .. these methods.
2352+
2353+ .. toctree ::
2354+ :hidden:
2355+
2356+ generated/pandas.DataFrame.as_blocks
2357+ generated/pandas.DataFrame.ffill
2358+ generated/pandas.DataFrame.bfill
2359+ generated/pandas.DataFrame.blocks
2360+ generated/pandas.DataFrame.sortlevel
2361+ generated/pandas.DataFrame.consolidate
2362+ generated/pandas.DataFrame.set_value
2363+ generated/pandas.DataFrame.get_value
2364+
2365+ generated/pandas.Series.as_blocks
2366+ generated/pandas.Series.ffill
2367+ generated/pandas.Series.bfill
2368+ generated/pandas.Series.set_value
2369+ generated/pandas.Series.get_value
2370+ generated/pandas.Series.blocks
0 commit comments