.. _implementation/dataframe_supported: =============================== pandas.DataFrame supported APIs =============================== The following table lists both implemented and not implemented methods. If you have need of an operation that is listed as not implemented, feel free to open an issue on the http://github/elastic/eland, or give a thumbs up to already created issues. Contributions are also welcome! The following table is structured as follows: The first column contains the method name. The second column is a flag for whether or not there is an implementation in Modin for the method in the left column. ``Y`` stands for yes, ``N`` stands for no. https://github.com/adgirish/kaggleScape/blob/master/results/annotResults.csv represents a prioritised list. +-------------------------+-------+------------------------------------------------+ | Method | Count | Notes | +-------------------------+-------+------------------------------------------------+ | pd.read_csv | 1422 | y | +-------------------------+-------+------------------------------------------------+ | pd.DataFrame | 886 | y | +-------------------------+-------+------------------------------------------------+ | df.append | 792 | n | +-------------------------+-------+------------------------------------------------+ | df.mean | 783 | y | +-------------------------+-------+------------------------------------------------+ | df.head | 783 | y | +-------------------------+-------+------------------------------------------------+ | df.drop | 761 | y | +-------------------------+-------+------------------------------------------------+ | df.sum | 755 | y | +-------------------------+-------+------------------------------------------------+ | df.to_csv | 693 | y | +-------------------------+-------+------------------------------------------------+ | df.get | 669 | y | +-------------------------+-------+------------------------------------------------+ | df.mode | 653 | n | +-------------------------+-------+------------------------------------------------+ | df.astype | 649 | n | +-------------------------+-------+------------------------------------------------+ | df.sub | 637 | n | +-------------------------+-------+------------------------------------------------+ | pd.concat | 582 | n | +-------------------------+-------+------------------------------------------------+ | df.apply | 577 | n | +-------------------------+-------+------------------------------------------------+ | df.groupby | 557 | n | +-------------------------+-------+------------------------------------------------+ | df.join | 544 | n | +-------------------------+-------+------------------------------------------------+ | df.fillna | 543 | n | +-------------------------+-------+------------------------------------------------+ | df.max | 508 | y | +-------------------------+-------+------------------------------------------------+ | df.reset_index | 434 | n | +-------------------------+-------+------------------------------------------------+ | pd.unique | 433 | n | +-------------------------+-------+------------------------------------------------+ | df.le | 405 | n | +-------------------------+-------+------------------------------------------------+ | df.count | 399 | y | +-------------------------+-------+------------------------------------------------+ | pd.value_counts | 397 | y | +-------------------------+-------+------------------------------------------------+ | df.sort_values | 390 | n | +-------------------------+-------+------------------------------------------------+ | df.transform | 387 | n | +-------------------------+-------+------------------------------------------------+ | df.merge | 376 | n | +-------------------------+-------+------------------------------------------------+ | df.add | 346 | n | +-------------------------+-------+------------------------------------------------+ | df.isnull | 338 | n | +-------------------------+-------+------------------------------------------------+ | df.min | 321 | y | +-------------------------+-------+------------------------------------------------+ | df.copy | 314 | n | +-------------------------+-------+------------------------------------------------+ | df.replace | 300 | n | +-------------------------+-------+------------------------------------------------+ | df.std | 261 | n | +-------------------------+-------+------------------------------------------------+ | df.hist | 246 | y | +-------------------------+-------+------------------------------------------------+ | df.filter | 234 | n | +-------------------------+-------+------------------------------------------------+ | df.describe | 220 | y | +-------------------------+-------+------------------------------------------------+ | df.ne | 218 | n | +-------------------------+-------+------------------------------------------------+ | df.corr | 217 | n | +-------------------------+-------+------------------------------------------------+ | df.median | 217 | n | +-------------------------+-------+------------------------------------------------+ | df.items | 212 | n | +-------------------------+-------+------------------------------------------------+ | pd.to_datetime | 204 | n | +-------------------------+-------+------------------------------------------------+ | df.isin | 203 | n | +-------------------------+-------+------------------------------------------------+ | df.dropna | 195 | n | +-------------------------+-------+------------------------------------------------+ | pd.get_dummies | 190 | n | +-------------------------+-------+------------------------------------------------+ | df.rename | 185 | n | +-------------------------+-------+------------------------------------------------+ | df.info | 180 | y | +-------------------------+-------+------------------------------------------------+ | df.set_index | 166 | n | +-------------------------+-------+------------------------------------------------+ | df.keys | 159 | y | +-------------------------+-------+------------------------------------------------+ | df.sample | 155 | n | +-------------------------+-------+------------------------------------------------+ | df.agg | 140 | y | +-------------------------+-------+------------------------------------------------+ | df.where | 138 | n | +-------------------------+-------+------------------------------------------------+ | df.boxplot | 134 | n | +-------------------------+-------+------------------------------------------------+ | df.clip | 116 | n | +-------------------------+-------+------------------------------------------------+ | df.round | 116 | n | +-------------------------+-------+------------------------------------------------+ | df.abs | 101 | n | +-------------------------+-------+------------------------------------------------+ | df.stack | 97 | n | +-------------------------+-------+------------------------------------------------+ | df.tail | 94 | y | +-------------------------+-------+------------------------------------------------+ | df.update | 92 | n | +-------------------------+-------+------------------------------------------------+ | df.iterrows | 90 | n | +-------------------------+-------+------------------------------------------------+ | df.transpose | 87 | n | +-------------------------+-------+------------------------------------------------+ | df.any | 85 | n | +-------------------------+-------+------------------------------------------------+ | df.pipe | 80 | n | +-------------------------+-------+------------------------------------------------+ | pd.eval | 73 | n | +-------------------------+-------+------------------------------------------------+ | df.eval | 73 | n | +-------------------------+-------+------------------------------------------------+ | pd.read_json | 72 | n | +-------------------------+-------+------------------------------------------------+ | df.nunique | 70 | y | +-------------------------+-------+------------------------------------------------+ | df.pivot | 70 | n | +-------------------------+-------+------------------------------------------------+ | df.select | 68 | n | +-------------------------+-------+------------------------------------------------+ | df.as_matrix | 67 | n | +-------------------------+-------+------------------------------------------------+ | df.notnull | 66 | n | +-------------------------+-------+------------------------------------------------+ | df.cumsum | 66 | n | +-------------------------+-------+------------------------------------------------+ | df.prod | 64 | n | +-------------------------+-------+------------------------------------------------+ | df.unstack | 64 | n | +-------------------------+-------+------------------------------------------------+ | df.drop_duplicates | 63 | n | +-------------------------+-------+------------------------------------------------+ | df.div | 63 | n | +-------------------------+-------+------------------------------------------------+ | pd.crosstab | 59 | n | +-------------------------+-------+------------------------------------------------+ | df.select_dtypes | 57 | y | +-------------------------+-------+------------------------------------------------+ | df.pow | 56 | n | +-------------------------+-------+------------------------------------------------+ | df.sort_index | 56 | n | +-------------------------+-------+------------------------------------------------+ | df.product | 52 | n | +-------------------------+-------+------------------------------------------------+ | df.isna | 51 | n | +-------------------------+-------+------------------------------------------------+ | df.dot | 46 | n | +-------------------------+-------+------------------------------------------------+ | pd.cut | 45 | n | +-------------------------+-------+------------------------------------------------+ | df.bool | 44 | n | +-------------------------+-------+------------------------------------------------+ | df.to_dict | 44 | n | +-------------------------+-------+------------------------------------------------+ | df.diff | 44 | n | +-------------------------+-------+------------------------------------------------+ | df.insert | 44 | n | +-------------------------+-------+------------------------------------------------+ | df.pop | 44 | n | +-------------------------+-------+------------------------------------------------+ | df.query | 43 | y | +-------------------------+-------+------------------------------------------------+ | df.var | 43 | n | +-------------------------+-------+------------------------------------------------+ | df.__init__ | 41 | y | +-------------------------+-------+------------------------------------------------+ | pd.to_numeric | 39 | n | +-------------------------+-------+------------------------------------------------+ | df.squeeze | 39 | n | +-------------------------+-------+------------------------------------------------+ | df.ge | 37 | n | +-------------------------+-------+------------------------------------------------+ | df.quantile | 37 | n | +-------------------------+-------+------------------------------------------------+ | df.reindex | 37 | n | +-------------------------+-------+------------------------------------------------+ | df.rolling | 35 | n | +-------------------------+-------+------------------------------------------------+ | pd.factorize | 32 | n | +-------------------------+-------+------------------------------------------------+ | pd.melt | 31 | n | +-------------------------+-------+------------------------------------------------+ | df.melt | 31 | n | +-------------------------+-------+------------------------------------------------+ | df.rank | 31 | n | +-------------------------+-------+------------------------------------------------+ | pd.read_table | 30 | n | +-------------------------+-------+------------------------------------------------+ | pd.pivot_table | 30 | n | +-------------------------+-------+------------------------------------------------+ | df.idxmax | 30 | n | +-------------------------+-------+------------------------------------------------+ | pd.test | 29 | n | +-------------------------+-------+------------------------------------------------+ | df.iteritems | 29 | n | +-------------------------+-------+------------------------------------------------+ | df.shift | 28 | n | +-------------------------+-------+------------------------------------------------+ | df.mul | 28 | n | +-------------------------+-------+------------------------------------------------+ | pd.qcut | 25 | n | +-------------------------+-------+------------------------------------------------+ | df.set_value | 25 | n | +-------------------------+-------+------------------------------------------------+ | df.all | 24 | n | +-------------------------+-------+------------------------------------------------+ | df.skew | 24 | n | +-------------------------+-------+------------------------------------------------+ | df.aggregate | 23 | y | +-------------------------+-------+------------------------------------------------+ | pd.match | 22 | n | +-------------------------+-------+------------------------------------------------+ | df.nlargest | 22 | n | +-------------------------+-------+------------------------------------------------+ | df.multiply | 21 | n | +-------------------------+-------+------------------------------------------------+ | df.set_axis | 19 | n | +-------------------------+-------+------------------------------------------------+ | df.eq | 18 | n | +-------------------------+-------+------------------------------------------------+ | df.resample | 18 | n | +-------------------------+-------+------------------------------------------------+ | pd.read_sql | 17 | n | +-------------------------+-------+------------------------------------------------+ | df.duplicated | 16 | n | +-------------------------+-------+------------------------------------------------+ | pd.date_range | 16 | n | +-------------------------+-------+------------------------------------------------+ | df.interpolate | 15 | n | +-------------------------+-------+------------------------------------------------+ | df.memory_usage | 15 | n | +-------------------------+-------+------------------------------------------------+ | df.divide | 14 | n | +-------------------------+-------+------------------------------------------------+ | df.cov | 13 | n | +-------------------------+-------+------------------------------------------------+ | df.assign | 12 | n | +-------------------------+-------+------------------------------------------------+ | df.subtract | 12 | n | +-------------------------+-------+------------------------------------------------+ | pd.read_pickle | 11 | n | +-------------------------+-------+------------------------------------------------+ | df.applymap | 11 | n | +-------------------------+-------+------------------------------------------------+ | df.first | 11 | n | +-------------------------+-------+------------------------------------------------+ | df.kurt | 10 | n | +-------------------------+-------+------------------------------------------------+ | df.truncate | 10 | n | +-------------------------+-------+------------------------------------------------+ | df.get_value | 9 | n | +-------------------------+-------+------------------------------------------------+ | pd.read_hdf | 9 | n | +-------------------------+-------+------------------------------------------------+ | df.to_html | 9 | y | +-------------------------+-------+------------------------------------------------+ | pd.read_sql_query | 9 | n | +-------------------------+-------+------------------------------------------------+ | df.take | 8 | n | +-------------------------+-------+------------------------------------------------+ | df.to_pickle | 7 | n | +-------------------------+-------+------------------------------------------------+ | df.itertuples | 7 | n | +-------------------------+-------+------------------------------------------------+ | df.to_string | 7 | y | +-------------------------+-------+------------------------------------------------+ | df.last | 7 | n | +-------------------------+-------+------------------------------------------------+ | df.sem | 7 | n | +-------------------------+-------+------------------------------------------------+ | pd.to_pickle | 7 | n | +-------------------------+-------+------------------------------------------------+ | df.to_json | 7 | n | +-------------------------+-------+------------------------------------------------+ | df.idxmin | 7 | n | +-------------------------+-------+------------------------------------------------+ | df.xs | 6 | n | +-------------------------+-------+------------------------------------------------+ | df.combine | 6 | n | +-------------------------+-------+------------------------------------------------+ | pd.rolling_mean | 6 | n | +-------------------------+-------+------------------------------------------------+ | df.to_period | 6 | n | +-------------------------+-------+------------------------------------------------+ | df.convert_objects | 5 | n | +-------------------------+-------+------------------------------------------------+ | df.mask | 4 | n | +-------------------------+-------+------------------------------------------------+ | df.pct_change | 4 | n | +-------------------------+-------+------------------------------------------------+ | df.add_prefix | 4 | n | +-------------------------+-------+------------------------------------------------+ | pd.read_excel | 4 | n | +-------------------------+-------+------------------------------------------------+ | pd.rolling_std | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.to_records | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.corrwith | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.swapaxes | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.__iter__ | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.to_sql | 3 | n | +-------------------------+-------+------------------------------------------------+ | pd.read_feather | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.to_feather | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.__len__ | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.kurtosis | 3 | n | +-------------------------+-------+------------------------------------------------+ | df.mod | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.to_sparse | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.get_values | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.__eq__ | 2 | n | +-------------------------+-------+------------------------------------------------+ | pd.bdate_range | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.get_dtype_counts | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.combine_first | 2 | n | +-------------------------+-------+------------------------------------------------+ | df._get_numeric_data | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.nsmallest | 2 | n | +-------------------------+-------+------------------------------------------------+ | pd.scatter_matrix | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.rename_axis | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.__setstate__ | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.cumprod | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.__getstate__ | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.equals | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.__getitem__ | 2 | y | +-------------------------+-------+------------------------------------------------+ | df.clip_upper | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.floordiv | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.to_excel | 2 | n | +-------------------------+-------+------------------------------------------------+ | df.reindex_axis | 1 | n | +-------------------------+-------+------------------------------------------------+ | pd.to_timedelta | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.ewm | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.tz_localize | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.tz_convert | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.to_hdf | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.lookup | 1 | n | +-------------------------+-------+------------------------------------------------+ | pd.merge_ordered | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.swaplevel | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.first_valid_index | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.lt | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.add_suffix | 1 | n | +-------------------------+-------+------------------------------------------------+ | pd.rolling_median | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.to_dense | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.mad | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.align | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.__copy__ | 1 | n | +-------------------------+-------+------------------------------------------------+ | pd.set_eng_float_format | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.add_suffix | 1 | n | +-------------------------+-------+------------------------------------------------+ | pd.rolling_median | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.to_dense | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.mad | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.align | 1 | n | +-------------------------+-------+------------------------------------------------+ | df.__copy__ | 1 | n | +-------------------------+-------+------------------------------------------------+ | pd.set_eng_float_format | 1 | n | +-------------------------+-------+------------------------------------------------+ +---------------------------+---------------------------------+----------------------------------------------------+ | DataFrame method | Eland Implementation? (Y/N/P/D) | Notes for Current implementation | +---------------------------+---------------------------------+----------------------------------------------------+ | ``T`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``abs`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``add`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``add_prefix`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``add_suffix`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``agg`` | Y | | | ``aggregate`` | | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``align`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``all`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``any`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``append`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``apply`` | N | See ``agg`` | +---------------------------+---------------------------------+----------------------------------------------------+ | ``applymap`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``as_blocks`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``as_matrix`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``asfreq`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``asof`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``assign`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``astype`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``at`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``at_time`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``axes`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``between_time`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``bfill`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``blocks`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``bool`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``boxplot`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``clip`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``clip_lower`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``clip_upper`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``combine`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``combine_first`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``compound`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``consolidate`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``convert_objects`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``copy`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``corr`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``corrwith`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``count`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``cov`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``cummax`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``cummin`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``cumprod`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``cumsum`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``describe`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``diff`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``div`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``divide`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``dot`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``drop`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``drop_duplicates`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``dropna`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``dtypes`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``duplicated`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``empty`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``eq`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``equals`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``eval`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``ewm`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``expanding`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``ffill`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``fillna`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``filter`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``first`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``first_valid_index`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``floordiv`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``from_csv`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``from_dict`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``from_items`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``from_records`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``ftypes`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``ge`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``get`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``get_dtype_counts`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``get_ftype_counts`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``get_value`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``get_values`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``groupby`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``gt`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``head`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``hist`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``iat`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``idxmax`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``idxmin`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``iloc`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``infer_objects`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``info`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``insert`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``interpolate`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``is_copy`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``isin`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``isna`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``isnull`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``items`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``iteritems`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``iterrows`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``itertuples`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``ix`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``join`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``keys`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``kurt`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``kurtosis`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``last`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``last_valid_index`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``le`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``loc`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``lookup`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``lt`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``mad`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``mask`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``max`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``mean`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``median`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``melt`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``memory_usage`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``merge`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``min`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``mod`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``mode`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``mul`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``multiply`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``ndim`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``ne`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``nlargest`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``notna`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``notnull`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``nsmallest`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``nunique`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``pct_change`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``pipe`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``pivot`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``pivot_table`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``plot`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``pop`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``pow`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``prod`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``product`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``quantile`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``query`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``radd`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rank`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rdiv`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``reindex`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``reindex_axis`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``reindex_like`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rename`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rename_axis`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``reorder_levels`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``replace`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``resample`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``reset_index`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rfloordiv`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rmod`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rmul`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rolling`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``round`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rpow`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rsub`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``rtruediv`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``sample`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``select`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``select_dtypes`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``sem`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``set_axis`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``set_index`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``set_value`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``shape`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``shift`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``size`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``skew`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``slice_shift`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``sort_index`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``sort_values`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``sortlevel`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``squeeze`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``stack`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``std`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``style`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``sub`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``subtract`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``sum`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``swapaxes`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``swaplevel`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``tail`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``take`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_clipboard`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_csv`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_dense`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_dict`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_excel`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_feather`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_gbq`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_hdf`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_html`` | Y | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_json`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_latex`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_msgpack`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_panel`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_parquet`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_period`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_pickle`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_records`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_sparse`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_sql`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_stata`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_string`` | Y | Default sets `max_rows=60` | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_timestamp`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``to_xarray`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``transform`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``transpose`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``truediv`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``truncate`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``tshift`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``tz_convert`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``tz_localize`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``unstack`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``update`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``values`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``var`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``where`` | N | | +---------------------------+---------------------------------+----------------------------------------------------+ | ``xs`` | N | Deprecated in pandas | +---------------------------+---------------------------------+----------------------------------------------------+