mirror of
https://github.com/elastic/eland.git
synced 2025-07-11 00:02:14 +08:00
883 lines
86 KiB
ReStructuredText
883 lines
86 KiB
ReStructuredText
.. _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 | n |
|
|
+-------------------------+-------+------------------------------------------------+
|
|
| 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 |
|
|
+---------------------------+---------------------------------+----------------------------------------------------+
|
|
|