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 {value, pat}
pandas.api.types.infer_dtype: Unknown parameters {value, skipna}
pandas.api.types.is_list_like: Unknown parameters {allow_sets, obj}
pandas.api.types.is_scalar: Unknown parameters {val}
pandas.factorize: Unknown parameters {size_hint, na_sentinel, values, order, sort}
pandas.to_datetime: Unknown parameters {arg, format, box, yearfirst, utc, infer_datetime_format, exact, origin, cache, errors, unit, dayfirst}
pandas.to_timedelta: Unknown parameters {unit, arg, errors, box}
pandas.api.extensions.ExtensionArray.argsort: Unknown parameters {*args, **kwargs:}
pandas.DataFrame.select_dtypes: Unknown parameters {include, exclude}
pandas.DataFrame.pipe: Unknown parameters {kwargs, args}
pandas.DataFrame.clip: Unknown parameters {*args, **kwargs}
pandas.DataFrame.compound: Unknown parameters {numeric_only, **kwargs}
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 {numeric_only, **kwargs}
pandas.DataFrame.reindex: Unknown parameters {copy, labels, index, columns, level, tolerance, axis, method, limit, fill_value}
pandas.DataFrame.rename: Unknown parameters {copy, columns, mapper, level, index, axis, errors, inplace}
pandas.DataFrame.rename_axis: Unknown parameters {copy, mapper, index, columns, axis, inplace}
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.update: Unknown parameters {other, errors, filter_func, overwrite, join}
pandas.DataFrame.plot: Unknown parameters {loglog, rot, figsize, xlim, kind, xerr, include_bool, yticks, yerr, y, legend, table, xticks, colorbar, **kwargs, use_index, mark_right, fontsize, ylim, x, grid, style, logx, title, position, logy, colormap}
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 {format, append, complib, dropna, data_columns, mode, complevel, errors, fletcher32}
pandas.DataFrame.to_html: Unknown parameters {min_rows}
pandas.DataFrame.to_stata: Unknown parameters {byteorder, version, fname, variable_labels, encoding, convert_strl, time_stamp, write_index, convert_dates, data_label}
pandas.DataFrame.to_msgpack: Unknown parameters {append, path, compress}
pandas.Series.pipe: Unknown parameters {kwargs, args}
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 {numeric_only, **kwargs}
pandas.Series.compound: Unknown parameters {numeric_only, **kwargs}
pandas.Series.idxmax: Unknown parameters {*args, **kwargs}
pandas.Series.idxmin: Unknown parameters {*args, **kwargs}
pandas.Series.reindex: Unknown parameters {copy, level, tolerance, method, limit, fill_value}
pandas.Series.rename: Unknown parameters {copy, level, inplace}
pandas.Series.rename_axis: Unknown parameters {copy, mapper, index, columns, axis, inplace}
pandas.Series.argmin: Unknown parameters {axis, *args, **kwargs, skipna}
pandas.Series.argmax: Unknown parameters {axis, *args, **kwargs, skipna}
pandas.Series.swaplevel: Unknown parameters {i, j}
pandas.Series.dt.to_period: Unknown parameters {freq}
pandas.Series.dt.tz_localize: Unknown parameters {ambiguous, nonexistent, errors, tz}
pandas.Series.dt.tz_convert: Unknown parameters {tz}
pandas.Series.dt.strftime: Unknown parameters {date_format}
pandas.Series.dt.round: Unknown parameters {ambiguous, freq, nonexistent}
pandas.Series.dt.floor: Unknown parameters {ambiguous, freq, nonexistent}
pandas.Series.dt.ceil: Unknown parameters {ambiguous, freq, nonexistent}
pandas.Series.dt.month_name: Unknown parameters {locale}
pandas.Series.dt.day_name: Unknown parameters {locale}
pandas.Series.str.cat: Unknown parameters {sep, na_rep, others, join}
pandas.Series.str.center: Unknown parameters {fillchar, width}
pandas.Series.str.contains: Unknown parameters {case, flags, pat, na, regex}
pandas.Series.str.count: Unknown parameters {flags, pat}
pandas.Series.str.encode: Unknown parameters {encoding, errors}
pandas.Series.str.endswith: Unknown parameters {na, pat}
pandas.Series.str.extract: Unknown parameters {flags, expand, pat}
pandas.Series.str.extractall: Unknown parameters {flags, pat}
pandas.Series.str.find: Unknown parameters {start, sub, end}
pandas.Series.str.findall: Unknown parameters {flags, pat}
pandas.Series.str.index: Unknown parameters {start, sub, end}
pandas.Series.str.join: Unknown parameters {sep}
pandas.Series.str.ljust: Unknown parameters {fillchar, width}
pandas.Series.str.lstrip: Unknown parameters {to_strip}
pandas.Series.str.match: Unknown parameters {flags, na, case, pat}
pandas.Series.str.normalize: Unknown parameters {form}
pandas.Series.str.pad: Unknown parameters {fillchar, side, width}
pandas.Series.str.partition: Unknown parameters {sep, expand, pat}
pandas.Series.str.repeat: Unknown parameters {repeats}
pandas.Series.str.replace: Unknown parameters {case, flags, repl, pat, n, regex}
pandas.Series.str.rfind: Unknown parameters {start, sub, end}
pandas.Series.str.rindex: Unknown parameters {start, sub, end}
pandas.Series.str.rjust: Unknown parameters {fillchar, width}
pandas.Series.str.rpartition: Unknown parameters {sep, expand, pat}
pandas.Series.str.rstrip: Unknown parameters {to_strip}
pandas.Series.str.slice_replace: Unknown parameters {start, repl, stop}
pandas.Series.str.split: Unknown parameters {n, expand, pat}
pandas.Series.str.rsplit: Unknown parameters {n, expand, pat}
pandas.Series.str.startswith: Unknown parameters {na, pat}
pandas.Series.str.strip: Unknown parameters {to_strip}
pandas.Series.str.translate: Unknown parameters {table}
pandas.Series.str.wrap: Unknown parameters {replace_whitespace, break_long_words, drop_whitespace, expand_tabs, width, break_on_hyphens}
pandas.Series.str.zfill: Unknown parameters {width}
pandas.Series.str.get_dummies: Unknown parameters {sep}
pandas.Series.cat.rename_categories: Unknown parameters {new_categories, inplace}
pandas.Series.cat.reorder_categories: Unknown parameters {new_categories, ordered, inplace}
pandas.Series.cat.add_categories: Unknown parameters {new_categories, inplace}
pandas.Series.cat.remove_categories: Unknown parameters {removals, inplace}
pandas.Series.cat.remove_unused_categories: Unknown parameters {inplace}
pandas.Series.cat.set_categories: Unknown parameters {new_categories, rename, ordered, inplace}
pandas.Series.cat.as_ordered: Unknown parameters {inplace}
pandas.Series.cat.as_unordered: Unknown parameters {inplace}
pandas.Series.plot: Unknown parameters {loglog, rot, figsize, xlim, kind, xerr, include_bool, yticks, yerr, y, legend, table, xticks, colorbar, **kwargs, use_index, mark_right, fontsize, ylim, x, grid, style, logx, title, position, logy, colormap}
pandas.Series.plot.area: Unknown parameters {stacked}
pandas.Series.plot.pie: Unknown parameters {y}
pandas.Series.to_csv: Unknown parameters {na_rep, chunksize, path_or_buf, mode, float_format, encoding, quoting, index_label, date_format, quotechar, decimal, compression, line_terminator, columns, index, sep, doublequote, escapechar, header}
pandas.Series.to_hdf: Unknown parameters {format, append, complib, dropna, data_columns, mode, complevel, errors, fletcher32}
pandas.Series.to_msgpack: Unknown parameters {append, path, compress}
pandas.Index.to_native_types: Unknown parameters {kwargs}
pandas.CategoricalIndex.rename_categories: Unknown parameters {new_categories, inplace}
pandas.CategoricalIndex.reorder_categories: Unknown parameters {new_categories, ordered, inplace}
pandas.CategoricalIndex.add_categories: Unknown parameters {new_categories, inplace}
pandas.CategoricalIndex.remove_categories: Unknown parameters {removals, inplace}
pandas.CategoricalIndex.remove_unused_categories: Unknown parameters {inplace}
pandas.CategoricalIndex.set_categories: Unknown parameters {new_categories, rename, ordered, inplace}
pandas.CategoricalIndex.as_ordered: Unknown parameters {inplace}
pandas.CategoricalIndex.as_unordered: Unknown parameters {inplace}
pandas.MultiIndex: Unknown parameters {copy, levels, labels, codes, sortorder, verify_integrity, names}
pandas.MultiIndex.set_codes: Unknown parameters {verify_integrity, level, codes, inplace}
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, nonexistent, errors, tz}
pandas.DatetimeIndex.round: Unknown parameters {ambiguous, freq, nonexistent}
pandas.DatetimeIndex.floor: Unknown parameters {ambiguous, freq, nonexistent}
pandas.DatetimeIndex.ceil: Unknown parameters {ambiguous, freq, nonexistent}
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, freq, nonexistent}
pandas.TimedeltaIndex.floor: Unknown parameters {ambiguous, freq, nonexistent}
pandas.TimedeltaIndex.ceil: Unknown parameters {ambiguous, freq, nonexistent}
pandas.TimedeltaIndex.mean: Unknown parameters {skipna}
pandas.PeriodIndex: Unknown parameters {day, quarter, year, month, second, minute, hour}
pandas.PeriodIndex.asfreq: Unknown parameters {freq, how}
pandas.PeriodIndex.strftime: Unknown parameters {date_format}
pandas.PeriodIndex.to_timestamp: Unknown parameters {freq, how}
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 {samples, ax, class_column, color, frame, colormap}
pandas.plotting.bootstrap_plot: Unknown parameters {**kwds :}
pandas.plotting.lag_plot: Unknown parameters {kwds}
pandas.plotting.parallel_coordinates: Unknown parameters {ax, class_column, axvlines_kwds, sort_labels, color, use_columns, frame, cols, axvlines, xticks, colormap}
pandas.plotting.radviz: Unknown parameters {kwds}
pandas.read_excel: Unknown parameters {parse_dates, squeeze, usecols, skip_footer, comment, sheet_name, index_col, convert_float, mangle_dupe_cols, date_parser, names, io, false_values, verbose, skipfooter, true_values, converters, thousands, **kwds, na_values, keep_default_na, skiprows, dtype, engine, header, nrows}
pandas.ExcelWriter: Unknown parameters {datetime_format, date_format, mode}
pandas.read_hdf: Unknown parameters {stop , iterator, columns, start, chunksize, errors, where}
pandas.HDFStore.put: Unknown parameters {dropna  , data_columns, encoding, append  }
pandas.HDFStore.append: Unknown parameters {append      , chunksize   , data_columns, encoding    , min_itemsize, expectedrows, nan_rep     , dropna      }
pandas.read_feather: Unknown parameters {use_threads, nthreads, path, columns}
pandas.read_stata: Unknown parameters {iterator, order_categoricals, convert_categoricals, columns, chunksize, preserve_dtypes, index_col, encoding, convert_missing, convert_dates, filepath_or_buffer}
pandas.io.stata.StataReader.data: Unknown parameters {order_categoricals, convert_categoricals, columns, preserve_dtypes, index_col, convert_missing, convert_dates}
pandas.tseries.offsets.CBMonthEnd.apply_index: Unknown parameters {i}
pandas.tseries.offsets.CBMonthBegin.apply_index: Unknown parameters {i}
pandas.Grouper: Unknown parameters {convention, base, level, key, label, axis, closed, loffset, freq, sort}
pandas.core.groupby.GroupBy.apply: Unknown parameters {args, kwargs}
pandas.core.groupby.GroupBy.pipe: Unknown parameters {kwargs, args}
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 {include, exclude, percentiles}
pandas.core.groupby.DataFrameGroupBy.diff: Unknown parameters {axis, periods}
pandas.core.groupby.DataFrameGroupBy.fillna: Unknown parameters {axis, value, method, limit, downcast, inplace}
pandas.core.groupby.DataFrameGroupBy.filter: Unknown parameters {f}
pandas.core.groupby.DataFrameGroupBy.hist: Unknown parameters {layout, xlabelsize, data, ax, column, bins, figsize, sharex, **kwargs, xrot, grid, yrot, by, sharey, ylabelsize}
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 {axis, numeric_only, level, **kwargs, skipna}
pandas.core.groupby.DataFrameGroupBy.resample: Unknown parameters {*args, **kwargs}
pandas.core.groupby.DataFrameGroupBy.skew: Unknown parameters {axis, numeric_only, level, **kwargs, skipna}
pandas.core.groupby.DataFrameGroupBy.take: Unknown parameters {axis, is_copy, indices, **kwargs}
pandas.core.groupby.DataFrameGroupBy.tshift: Unknown parameters {axis, periods, freq}
pandas.core.groupby.SeriesGroupBy.nlargest: Unknown parameters {n, keep}
pandas.core.groupby.SeriesGroupBy.nsmallest: Unknown parameters {n, keep}
pandas.core.groupby.DataFrameGroupBy.corrwith: Unknown parameters {axis, method, other, drop}
pandas.core.resample.Resampler.pipe: Unknown parameters {kwargs, args}
pandas.core.resample.Resampler.sem: Unknown parameters {ddof}
pandas.Timestamp: Unknown parameters {hour, minute, second, microsecond, year, month, day}
pandas.Timestamp.max: Unknown parameters {tz, year, month, day, tzinfo, hour, minute, second, microsecond, nanosecond, ts_input, unit, freq}
pandas.Timestamp.min: Unknown parameters {tz, year, month, day, tzinfo, hour, minute, second, microsecond, nanosecond, ts_input, unit, freq}
pandas.Timedelta.max: Unknown parameters {unit, value, **kwargs}
pandas.Timedelta.min: Unknown parameters {unit, value, **kwargs}
pandas.Period.asfreq: Unknown parameters {freq, how}
pandas.Period.to_timestamp: Unknown parameters {freq, how}
pandas.Interval: Unknown parameters {right, left, closed}
pandas.Interval.overlaps: Unknown parameters {other}