pandas.describe_option: Unknown parameters {pat, _print_desc}
pandas.reset_option: Unknown parameters {pat}
pandas.get_option: Unknown parameters {pat}
pandas.set_option: Unknown parameters {pat, value}
pandas.api.types.infer_dtype: Unknown parameters {skipna, value}
pandas.api.types.is_list_like: Unknown parameters {allow_sets, obj}
pandas.api.types.is_scalar: Unknown parameters {val}
pandas.api.extensions.ExtensionArray.argsort: Unknown parameters {*args, **kwargs:}
pandas.DataFrame.select_dtypes: Unknown parameters {include, exclude}
pandas.DataFrame.pipe: Unknown parameters {args, kwargs}
pandas.DataFrame.clip: Unknown parameters {*args, **kwargs}
pandas.DataFrame.compound: Unknown parameters {**kwargs, numeric_only}
pandas.DataFrame.cummax: Unknown parameters {*args, **kwargs :}
pandas.DataFrame.cummin: Unknown parameters {*args, **kwargs :}
pandas.DataFrame.cumprod: Unknown parameters {*args, **kwargs :}
pandas.DataFrame.cumsum: Unknown parameters {*args, **kwargs :}
pandas.DataFrame.eval: Unknown parameters {kwargs}
pandas.DataFrame.mad: Unknown parameters {**kwargs, numeric_only}
pandas.DataFrame.reindex: Unknown parameters {index, columns}
pandas.DataFrame.rename_axis: Unknown parameters {index, columns}
pandas.DataFrame.swaplevel: Unknown parameters {i, j}
pandas.DataFrame.melt: Unknown parameters {frame}
pandas.DataFrame.T: Unknown parameters {copy, *args, **kwargs}
pandas.DataFrame.transpose: Unknown parameters {copy, *args, **kwargs}
pandas.DataFrame.plot: Unknown parameters {legend, x, loglog, fontsize, yticks, table, xticks, title, colorbar, use_index, include_bool, grid, yerr, logx, **kwargs, xerr, rot, ylim, logy, style, xlim, y, position, colormap, mark_right, figsize, kind}
pandas.DataFrame.plot.area: Unknown parameters {stacked}
pandas.DataFrame.plot.pie: Unknown parameters {y}
pandas.DataFrame.sparse.from_spmatrix: Unknown parameters {index, columns}
pandas.DataFrame.to_hdf: Unknown parameters {dropna, complevel, append, mode, data_columns, fletcher32, format, errors, complib}
pandas.DataFrame.to_html: Unknown parameters {min_rows}
pandas.DataFrame.to_msgpack: Unknown parameters {compress, path, append}
pandas.Series.pipe: Unknown parameters {args, kwargs}
pandas.Series.clip: Unknown parameters {*args, **kwargs}
pandas.Series.cummax: Unknown parameters {*args, **kwargs :}
pandas.Series.cummin: Unknown parameters {*args, **kwargs :}
pandas.Series.cumprod: Unknown parameters {*args, **kwargs :}
pandas.Series.cumsum: Unknown parameters {*args, **kwargs :}
pandas.Series.mad: Unknown parameters {**kwargs, numeric_only}
pandas.Series.compound: Unknown parameters {**kwargs, numeric_only}
pandas.Series.drop: Unknown parameters {index, columns}
pandas.Series.idxmax: Unknown parameters {*args, **kwargs}
pandas.Series.idxmin: Unknown parameters {*args, **kwargs}
pandas.Series.reindex: Unknown parameters {limit, copy, method, level, tolerance, fill_value}
pandas.Series.rename: Unknown parameters {copy, inplace, level}
pandas.Series.rename_axis: Unknown parameters {index, columns}
pandas.Series.argmin: Unknown parameters {*args, **kwargs}
pandas.Series.argmax: Unknown parameters {*args, **kwargs}
pandas.Series.swaplevel: Unknown parameters {i, j}
pandas.Series.dt.to_period: Unknown parameters {freq}
pandas.Series.dt.tz_localize: Unknown parameters {ambiguous, tz, nonexistent, errors}
pandas.Series.dt.tz_convert: Unknown parameters {tz}
pandas.Series.dt.strftime: Unknown parameters {date_format}
pandas.Series.dt.round: Unknown parameters {ambiguous, nonexistent, freq}
pandas.Series.dt.floor: Unknown parameters {ambiguous, nonexistent, freq}
pandas.Series.dt.ceil: Unknown parameters {ambiguous, nonexistent, freq}
pandas.Series.dt.month_name: Unknown parameters {locale}
pandas.Series.dt.day_name: Unknown parameters {locale}
pandas.Series.str.partition: Unknown parameters {pat}
pandas.Series.str.rpartition: Unknown parameters {pat}
pandas.Series.str.wrap: Unknown parameters {break_long_words, drop_whitespace, expand_tabs, break_on_hyphens, replace_whitespace}
pandas.Series.cat.rename_categories: Unknown parameters {inplace, new_categories}
pandas.Series.cat.reorder_categories: Unknown parameters {inplace, new_categories, ordered}
pandas.Series.cat.add_categories: Unknown parameters {inplace, new_categories}
pandas.Series.cat.remove_categories: Unknown parameters {inplace, removals}
pandas.Series.cat.remove_unused_categories: Unknown parameters {inplace}
pandas.Series.cat.set_categories: Unknown parameters {rename, inplace, new_categories, ordered}
pandas.Series.cat.as_ordered: Unknown parameters {inplace}
pandas.Series.cat.as_unordered: Unknown parameters {inplace}
pandas.Series.plot: Unknown parameters {legend, x, loglog, fontsize, yticks, table, xticks, title, colorbar, use_index, include_bool, grid, yerr, logx, **kwargs, xerr, rot, ylim, logy, style, xlim, y, position, colormap, mark_right, figsize, kind}
pandas.Series.plot.area: Unknown parameters {stacked}
pandas.Series.plot.pie: Unknown parameters {y}
pandas.Series.to_csv: Unknown parameters {doublequote, sep, quoting, escapechar, compression, chunksize, na_rep, index_label, line_terminator, header, encoding, date_format, quotechar, index, columns, float_format, path_or_buf, decimal, mode}
pandas.Series.to_hdf: Unknown parameters {dropna, complevel, append, mode, data_columns, fletcher32, format, errors, complib}
pandas.Series.to_msgpack: Unknown parameters {compress, path, append}
pandas.Index.to_native_types: Unknown parameters {kwargs}
pandas.CategoricalIndex.rename_categories: Unknown parameters {inplace, new_categories}
pandas.CategoricalIndex.reorder_categories: Unknown parameters {inplace, new_categories, ordered}
pandas.CategoricalIndex.add_categories: Unknown parameters {inplace, new_categories}
pandas.CategoricalIndex.remove_categories: Unknown parameters {inplace, removals}
pandas.CategoricalIndex.remove_unused_categories: Unknown parameters {inplace}
pandas.CategoricalIndex.set_categories: Unknown parameters {rename, inplace, new_categories, ordered}
pandas.CategoricalIndex.as_ordered: Unknown parameters {inplace}
pandas.CategoricalIndex.as_unordered: Unknown parameters {inplace}
pandas.MultiIndex: Unknown parameters {labels}
pandas.DatetimeIndex: Unknown parameters {copy , periods , data }
pandas.DatetimeIndex.indexer_between_time: Unknown parameters {start_time, end_time}
pandas.DatetimeIndex.strftime: Unknown parameters {date_format}
pandas.DatetimeIndex.tz_convert: Unknown parameters {tz}
pandas.DatetimeIndex.tz_localize: Unknown parameters {ambiguous, tz, nonexistent, errors}
pandas.DatetimeIndex.round: Unknown parameters {ambiguous, nonexistent, freq}
pandas.DatetimeIndex.floor: Unknown parameters {ambiguous, nonexistent, freq}
pandas.DatetimeIndex.ceil: Unknown parameters {ambiguous, nonexistent, freq}
pandas.DatetimeIndex.month_name: Unknown parameters {locale}
pandas.DatetimeIndex.day_name: Unknown parameters {locale}
pandas.DatetimeIndex.to_period: Unknown parameters {freq}
pandas.DatetimeIndex.to_perioddelta: Unknown parameters {freq}
pandas.DatetimeIndex.mean: Unknown parameters {skipna}
pandas.TimedeltaIndex: Unknown parameters {copy , periods , data }
pandas.TimedeltaIndex.round: Unknown parameters {ambiguous, nonexistent, freq}
pandas.TimedeltaIndex.floor: Unknown parameters {ambiguous, nonexistent, freq}
pandas.TimedeltaIndex.ceil: Unknown parameters {ambiguous, nonexistent, freq}
pandas.TimedeltaIndex.mean: Unknown parameters {skipna}
pandas.PeriodIndex: Unknown parameters {day, hour, minute, quarter, month, second, year}
pandas.PeriodIndex.asfreq: Unknown parameters {how, freq}
pandas.PeriodIndex.strftime: Unknown parameters {date_format}
pandas.PeriodIndex.to_timestamp: Unknown parameters {how, freq}
pandas.core.window.rolling.Rolling.sum: Unknown parameters {*args, **kwargs}
pandas.core.window.rolling.Rolling.var: Unknown parameters {*args, **kwargs}
pandas.core.window.rolling.Rolling.std: Unknown parameters {*args, **kwargs}
pandas.core.window.rolling.Rolling.max: Unknown parameters {*args, **kwargs}
pandas.core.window.rolling.Rolling.apply: Unknown parameters {*args, **kwargs}
pandas.core.window.rolling.Rolling.quantile: Unknown parameters {**kwargs:}
pandas.core.window.rolling.Window.sum: Unknown parameters {*args, **kwargs}
pandas.core.window.expanding.Expanding.sum: Unknown parameters {*args, **kwargs}
pandas.core.window.expanding.Expanding.var: Unknown parameters {*args, **kwargs}
pandas.core.window.expanding.Expanding.std: Unknown parameters {*args, **kwargs}
pandas.core.window.expanding.Expanding.max: Unknown parameters {*args, **kwargs}
pandas.core.window.expanding.Expanding.apply: Unknown parameters {*args, **kwargs}
pandas.core.window.expanding.Expanding.quantile: Unknown parameters {**kwargs:}
pandas.core.window.ewm.EWM.mean: Unknown parameters {*args, **kwargs}
pandas.core.window.ewm.EWM.std: Unknown parameters {*args, **kwargs}
pandas.core.window.ewm.EWM.var: Unknown parameters {*args, **kwargs}
pandas.core.window.ewm.EWM.corr: Unknown parameters {bias}
pandas.plotting.andrews_curves: Unknown parameters {kwds}
pandas.plotting.autocorrelation_plot: Unknown parameters {kwds}
pandas.plotting.bootstrap_plot: Unknown parameters {**kwds :}
pandas.plotting.lag_plot: Unknown parameters {kwds}
pandas.plotting.parallel_coordinates: Unknown parameters {kwds}
pandas.plotting.radviz: Unknown parameters {kwds}
pandas.plotting.scatter_matrix: Unknown parameters {kwds}
pandas.plotting.table: Unknown parameters {kwargs}
pandas.ExcelWriter: Unknown parameters {date_format, mode, datetime_format}
pandas.read_hdf: Unknown parameters {iterator, columns, start, chunksize, errors, where, stop }
pandas.HDFStore.put: Unknown parameters {encoding, data_columns, append  , dropna  }
pandas.HDFStore.append: Unknown parameters {dropna      , encoding    , chunksize   , append      , min_itemsize, data_columns, nan_rep     , expectedrows}
pandas.read_feather: Unknown parameters {nthreads}
pandas.io.stata.StataReader.data: Unknown parameters {convert_categoricals, preserve_dtypes, columns, index_col, convert_missing, order_categoricals, convert_dates}
pandas.tseries.offsets.CBMonthEnd.apply_index: Unknown parameters {i}
pandas.tseries.offsets.CBMonthBegin.apply_index: Unknown parameters {i}
pandas.Grouper: Unknown parameters {base, axis, closed, freq, sort, label, loffset, level, key, convention}
pandas.core.groupby.GroupBy.apply: Unknown parameters {args, kwargs}
pandas.core.groupby.GroupBy.pipe: Unknown parameters {args, kwargs}
pandas.core.groupby.DataFrameGroupBy.corr: Unknown parameters {method, min_periods}
pandas.core.groupby.DataFrameGroupBy.cov: Unknown parameters {min_periods}
pandas.core.groupby.DataFrameGroupBy.describe: Unknown parameters {percentiles, exclude, include}
pandas.core.groupby.DataFrameGroupBy.diff: Unknown parameters {axis, periods}
pandas.core.groupby.DataFrameGroupBy.fillna: Unknown parameters {limit, method, inplace, downcast, axis, value}
pandas.core.groupby.DataFrameGroupBy.filter: Unknown parameters {f}
pandas.core.groupby.DataFrameGroupBy.hist: Unknown parameters {ylabelsize, layout, sharey, sharex, **kwargs, bins, by, data, xrot, xlabelsize, yrot, ax, column, figsize, grid}
pandas.core.groupby.DataFrameGroupBy.idxmax: Unknown parameters {axis, skipna}
pandas.core.groupby.DataFrameGroupBy.idxmin: Unknown parameters {axis, skipna}
pandas.core.groupby.DataFrameGroupBy.mad: Unknown parameters {skipna, level, **kwargs, axis, numeric_only}
pandas.core.groupby.DataFrameGroupBy.resample: Unknown parameters {*args, **kwargs}
pandas.core.groupby.DataFrameGroupBy.skew: Unknown parameters {skipna, level, **kwargs, axis, numeric_only}
pandas.core.groupby.DataFrameGroupBy.take: Unknown parameters {is_copy, axis, indices, **kwargs}
pandas.core.groupby.DataFrameGroupBy.tshift: Unknown parameters {axis, periods, freq}
pandas.core.groupby.SeriesGroupBy.nlargest: Unknown parameters {keep, n}
pandas.core.groupby.SeriesGroupBy.nsmallest: Unknown parameters {keep, n}
pandas.core.groupby.DataFrameGroupBy.corrwith: Unknown parameters {other, axis, method, drop}
pandas.core.resample.Resampler.pipe: Unknown parameters {args, kwargs}
pandas.core.resample.Resampler.sem: Unknown parameters {ddof}
pandas.Timestamp: Unknown parameters {year, month, day, hour, minute, second, microsecond}
pandas.Timestamp.max: Unknown parameters {unit, hour, minute, second, microsecond, nanosecond, year, month, day, freq, tz, tzinfo, ts_input}
pandas.Timestamp.min: Unknown parameters {unit, hour, minute, second, microsecond, nanosecond, year, month, day, freq, tz, tzinfo, ts_input}
pandas.Timedelta.max: Unknown parameters {**kwargs, unit, value}
pandas.Timedelta.min: Unknown parameters {**kwargs, unit, value}
pandas.Period.asfreq: Unknown parameters {how, freq}
pandas.Period.to_timestamp: Unknown parameters {how, freq}
pandas.Interval: Unknown parameters {left, closed, right}
pandas.Interval.overlaps: Unknown parameters {other}