Fix PR02 issues in docstrings
Fix the docstrings where an unknown parameter is documented (likely that they are typos, errors in the parameter format...).

Current errors:
```
$ ./scripts/validate_docstrings.py --errors=PR02
pandas.Series.astype: Unknown parameters {kwargs}
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 {level, limit, copy, fill_value, tolerance, method}
pandas.Series.rename: Unknown parameters {copy, inplace, level}
pandas.Series.rename_axis: Unknown parameters {mapper, copy, inplace, index, columns, axis}
pandas.Series.argmin: Unknown parameters {*args, **kwargs, skipna, axis}
pandas.Series.argmax: Unknown parameters {*args, **kwargs, skipna, axis}
pandas.Series.swaplevel: Unknown parameters {i, j}
pandas.Series.dt.to_period: Unknown parameters {freq}
pandas.Series.dt.tz_localize: Unknown parameters {tz, errors, ambiguous, nonexistent}
pandas.Series.dt.tz_convert: Unknown parameters {tz}
pandas.Series.dt.strftime: Unknown parameters {date_format}
pandas.Series.dt.round: Unknown parameters {nonexistent, ambiguous, freq}
pandas.Series.dt.floor: Unknown parameters {nonexistent, ambiguous, freq}
pandas.Series.dt.ceil: Unknown parameters {nonexistent, ambiguous, freq}
pandas.Series.dt.month_name: Unknown parameters {locale}
pandas.Series.dt.day_name: Unknown parameters {locale}
pandas.Series.str.cat: Unknown parameters {na_rep, join, others, sep}
pandas.Series.str.center: Unknown parameters {fillchar, width}
pandas.Series.str.contains: Unknown parameters {flags, regex, case, pat, na}
pandas.Series.str.count: Unknown parameters {flags, pat}
pandas.Series.str.encode: Unknown parameters {encoding, errors}
pandas.Series.str.endswith: Unknown parameters {pat, na}
pandas.Series.str.extract: Unknown parameters {expand, flags, pat}
pandas.Series.str.extractall: Unknown parameters {flags, pat}
pandas.Series.str.find: Unknown parameters {sub, start, end}
pandas.Series.str.findall: Unknown parameters {flags, pat}
pandas.Series.str.index: Unknown parameters {sub, start, 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, case, pat, na}
pandas.Series.str.normalize: Unknown parameters {form}
pandas.Series.str.pad: Unknown parameters {side, fillchar, width}
pandas.Series.str.partition: Unknown parameters {expand, pat, sep}
pandas.Series.str.repeat: Unknown parameters {repeats}
pandas.Series.str.replace: Unknown parameters {flags, n, repl, regex, case, pat}
pandas.Series.str.rfind: Unknown parameters {sub, start, end}
pandas.Series.str.rindex: Unknown parameters {sub, start, end}
pandas.Series.str.rjust: Unknown parameters {fillchar, width}
pandas.Series.str.rpartition: Unknown parameters {expand, pat, sep}
pandas.Series.str.rstrip: Unknown parameters {to_strip}
pandas.Series.str.slice_replace: Unknown parameters {stop, repl, start}
pandas.Series.str.split: Unknown parameters {expand, pat, n}
pandas.Series.str.rsplit: Unknown parameters {expand, pat, n}
pandas.Series.str.startswith: Unknown parameters {pat, na}
pandas.Series.str.strip: Unknown parameters {to_strip}
pandas.Series.str.translate: Unknown parameters {table}
pandas.Series.str.wrap: Unknown parameters {break_on_hyphens, replace_whitespace, width, drop_whitespace, break_long_words, expand_tabs}
pandas.Series.str.zfill: Unknown parameters {width}
pandas.Series.str.get_dummies: Unknown parameters {sep}
pandas.Series.cat.rename_categories: Unknown parameters {inplace, new_categories}
pandas.Series.cat.reorder_categories: Unknown parameters {inplace, ordered, new_categories}
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, ordered, new_categories}
pandas.Series.cat.as_ordered: Unknown parameters {inplace}
pandas.Series.cat.as_unordered: Unknown parameters {inplace}
pandas.Series.plot: Unknown parameters {xticks, xlim, mark_right, yticks, table, legend, ylim, logx, fontsize, include_bool, colormap, title, logy, `**kwds`, kind, position, colorbar, yerr, y, x, style, rot, loglog, figsize, grid, use_index, xerr}
pandas.Series.plot.area: Unknown parameters {stacked, **kwds}
pandas.Series.plot.bar: Unknown parameters {**kwds}
pandas.Series.plot.barh: Unknown parameters {**kwds}
pandas.Series.plot.box: Unknown parameters {**kwds}
pandas.Series.plot.density: Unknown parameters {**kwds}
pandas.Series.plot.hist: Unknown parameters {**kwds}
pandas.Series.plot.kde: Unknown parameters {**kwds}
pandas.Series.plot.line: Unknown parameters {**kwds}
pandas.Series.plot.pie: Unknown parameters {y, **kwds}
pandas.Series.hist: Unknown parameters {`**kwds`}
pandas.Series.to_csv: Unknown parameters {mode, columns, float_format, encoding, index_label, header, quoting, chunksize, na_rep, quotechar, date_format, sep, doublequote, compression, escapechar, line_terminator, decimal, path_or_buf, index}
pandas.Series.to_hdf: Unknown parameters {mode, append, format, complevel, complib, errors, fletcher32, data_columns, dropna}
pandas.Series.to_msgpack: Unknown parameters {path, append, compress}
pandas.core.resample.Resampler.pipe: Unknown parameters {args, kwargs}
pandas.core.resample.Resampler.sem: Unknown parameters {ddof}
pandas.DataFrame.select_dtypes: Unknown parameters {include, exclude}
pandas.DataFrame.astype: Unknown parameters {kwargs}
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 {level, limit, copy, fill_value, tolerance, method, index, columns, labels, axis}
pandas.DataFrame.rename: Unknown parameters {columns, level, mapper, copy, inplace, errors, axis, index}
pandas.DataFrame.rename_axis: Unknown parameters {mapper, copy, inplace, index, columns, axis}
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, filter_func, join, overwrite, errors}
pandas.DataFrame.plot: Unknown parameters {xticks, xlim, mark_right, yticks, table, legend, ylim, logx, fontsize, include_bool, colormap, title, logy, `**kwds`, kind, position, colorbar, yerr, y, x, style, rot, loglog, figsize, grid, use_index, xerr}
pandas.DataFrame.plot.area: Unknown parameters {stacked, **kwds}
pandas.DataFrame.plot.bar: Unknown parameters {**kwds}
pandas.DataFrame.plot.barh: Unknown parameters {**kwds}
pandas.DataFrame.plot.box: Unknown parameters {**kwds}
pandas.DataFrame.plot.density: Unknown parameters {**kwds}
pandas.DataFrame.plot.hexbin: Unknown parameters {**kwds}
pandas.DataFrame.plot.hist: Unknown parameters {**kwds}
pandas.DataFrame.plot.kde: Unknown parameters {**kwds}
pandas.DataFrame.plot.line: Unknown parameters {**kwds}
pandas.DataFrame.plot.pie: Unknown parameters {y, **kwds}
pandas.DataFrame.plot.scatter: Unknown parameters {**kwds}
pandas.DataFrame.sparse.from_spmatrix: Unknown parameters {index, columns}
pandas.DataFrame.to_hdf: Unknown parameters {mode, append, format, complevel, complib, errors, fletcher32, data_columns, dropna}
pandas.DataFrame.to_html: Unknown parameters {min_rows}
pandas.DataFrame.to_stata: Unknown parameters {encoding, fname, time_stamp, version, convert_dates, data_label, write_index, convert_strl, byteorder, variable_labels}
pandas.DataFrame.to_msgpack: Unknown parameters {path, append, compress}
pandas.read_excel: Unknown parameters {io, usecols, header, names, sheet_name, engine, mangle_dupe_cols, **kwds, skiprows, true_values, parse_dates, dtype, verbose, na_values, convert_float, thousands, converters, skipfooter, date_parser, keep_default_na, false_values, nrows, skip_footer, squeeze, index_col, comment}
pandas.ExcelWriter: Unknown parameters {mode, datetime_format, date_format}
pandas.read_hdf: Unknown parameters {iterator, columns, where, stop , errors, start, chunksize}
pandas.HDFStore.put: Unknown parameters {encoding, value   , append  , format  , dropna  , data_columns, key     }
pandas.HDFStore.append: Unknown parameters {chunksize   , expectedrows, nan_rep     , append      , dropna      , data_columns, min_itemsize, encoding    }
pandas.HDFStore.select: Unknown parameters {stop }
pandas.read_feather: Unknown parameters {path, nthreads, columns, use_threads}
pandas.read_stata: Unknown parameters {iterator, encoding, columns, convert_dates, filepath_or_buffer, convert_missing, preserve_dtypes, order_categoricals, index_col, convert_categoricals, chunksize}
pandas.io.stata.StataReader.data: Unknown parameters {columns, convert_dates, convert_missing, preserve_dtypes, order_categoricals, index_col, convert_categoricals}
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.aggregate: Unknown parameters {func}
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.aggregate: Unknown parameters {func}
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.io.formats.style.Styler.apply: Unknown parameters {kwargs}
pandas.io.formats.style.Styler.applymap: Unknown parameters {kwargs}
pandas.io.formats.style.Styler.where: Unknown parameters {kwargs}
pandas.io.formats.style.Styler.set_properties: Unknown parameters {kwargs}
pandas.io.formats.style.Styler.pipe: Unknown parameters {*args, **kwargs :}
pandas.io.formats.style.Styler.background_gradient: Unknown parameters {low, high}
pandas.plotting.andrews_curves: Unknown parameters {color, frame, colormap, class_column, ax, samples, kwds}
pandas.plotting.bootstrap_plot: Unknown parameters {**kwds :}
pandas.plotting.lag_plot: Unknown parameters {kwds}
pandas.plotting.parallel_coordinates: Unknown parameters {xticks, color, frame, colormap, axvlines, sort_labels, class_column, axvlines_kwds, kwds, ax, use_columns, cols}
pandas.plotting.radviz: Unknown parameters {kwds}
pandas.plotting.scatter_matrix: Unknown parameters {kwds}
pandas.describe_option: Unknown parameters {_print_desc, pat}
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 {value, skipna}
pandas.api.types.is_list_like: Unknown parameters {allow_sets, obj}
pandas.api.types.is_scalar: Unknown parameters {val}
pandas.Timestamp: Unknown parameters {hour, minute, second, microsecond, year, month, day}
pandas.Timestamp.max: Unknown parameters {nanosecond, hour, minute, second, microsecond, year, month, day, ts_input, tzinfo, tz, unit, freq}
pandas.Timestamp.min: Unknown parameters {nanosecond, hour, minute, second, microsecond, year, month, day, ts_input, tzinfo, tz, unit, freq}
pandas.Timedelta.max: Unknown parameters {value, unit, **kwargs}
pandas.Timedelta.min: Unknown parameters {value, unit, **kwargs}
pandas.Period.asfreq: Unknown parameters {freq, how}
pandas.Period.to_timestamp: Unknown parameters {freq, how}
pandas.Interval: Unknown parameters {closed, right, left}
pandas.Interval.overlaps: Unknown parameters {other}
pandas.factorize: Unknown parameters {values, size_hint, sort, na_sentinel, order}
pandas.to_datetime: Unknown parameters {infer_datetime_format, format, box, arg, yearfirst, exact, cache, dayfirst, origin, unit, utc, errors}
pandas.to_timedelta: Unknown parameters {arg, errors, unit, box}
pandas.Grouper: Unknown parameters {level, sort, convention, label, base, loffset, freq, closed, axis, key}
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 {exclude, percentiles, include}
pandas.core.groupby.DataFrameGroupBy.diff: Unknown parameters {periods, axis}
pandas.core.groupby.DataFrameGroupBy.fillna: Unknown parameters {inplace, value, limit, downcast, method, axis}
pandas.core.groupby.DataFrameGroupBy.filter: Unknown parameters {f}
pandas.core.groupby.DataFrameGroupBy.hist: Unknown parameters {data, column, ylabelsize, sharex, by, sharey, layout, **kwds, yrot, figsize, ax, xlabelsize, bins, grid, xrot}
pandas.core.groupby.DataFrameGroupBy.idxmax: Unknown parameters {skipna, axis}
pandas.core.groupby.DataFrameGroupBy.idxmin: Unknown parameters {skipna, axis}
pandas.core.groupby.DataFrameGroupBy.mad: Unknown parameters {level, skipna, numeric_only, **kwargs, axis}
pandas.core.groupby.DataFrameGroupBy.resample: Unknown parameters {*args, **kwargs}
pandas.core.groupby.DataFrameGroupBy.skew: Unknown parameters {level, skipna, numeric_only, **kwargs, axis}
pandas.core.groupby.DataFrameGroupBy.take: Unknown parameters {indices, **kwargs, axis, is_copy}
pandas.core.groupby.DataFrameGroupBy.tshift: Unknown parameters {periods, axis, 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 {method, other, axis, drop}
pandas.core.groupby.DataFrameGroupBy.boxplot: Unknown parameters {`**kwds`}
pandas.Index.to_native_types: Unknown parameters {kwargs}
pandas.CategoricalIndex.rename_categories: Unknown parameters {inplace, new_categories}
pandas.CategoricalIndex.reorder_categories: Unknown parameters {inplace, ordered, new_categories}
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, ordered, new_categories}
pandas.CategoricalIndex.as_ordered: Unknown parameters {inplace}
pandas.CategoricalIndex.as_unordered: Unknown parameters {inplace}
pandas.MultiIndex: Unknown parameters {copy, names, verify_integrity, sortorder, levels, labels, codes}
pandas.MultiIndex.set_codes: Unknown parameters {inplace, verify_integrity, codes, level}
pandas.DatetimeIndex: Unknown parameters {periods , data , copy }
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 {tz, errors, ambiguous, nonexistent}
pandas.DatetimeIndex.round: Unknown parameters {nonexistent, ambiguous, freq}
pandas.DatetimeIndex.floor: Unknown parameters {nonexistent, ambiguous, freq}
pandas.DatetimeIndex.ceil: Unknown parameters {nonexistent, ambiguous, 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 {periods , data , copy }
pandas.TimedeltaIndex.round: Unknown parameters {nonexistent, ambiguous, freq}
pandas.TimedeltaIndex.floor: Unknown parameters {nonexistent, ambiguous, freq}
pandas.TimedeltaIndex.ceil: Unknown parameters {nonexistent, ambiguous, freq}
pandas.TimedeltaIndex.mean: Unknown parameters {skipna}
pandas.PeriodIndex: Unknown parameters {quarter, month, day, hour, second, year, minute}
pandas.PeriodIndex.asfreq: Unknown parameters {freq, how}
pandas.PeriodIndex.strftime: Unknown parameters {date_format}
pandas.PeriodIndex.to_timestamp: Unknown parameters {freq, how}
pandas.api.extensions.ExtensionArray.argsort: Unknown parameters {*args, **kwargs:}
pandas.tseries.offsets.CBMonthEnd.apply_index: Unknown parameters {i}
pandas.tseries.offsets.CBMonthBegin.apply_index: Unknown parameters {i}
```