DEPR: log of deprecations in 1.x (to be removed in 2.0)
Similar issue as https://github.com/pandas-dev/pandas/issues/6581, but starting a fresh one for keeping a log of the deprecations we do in the 1.x releases.

## 1.0.0

- [ ] #27929 numeric_only to Categorical.min/max
- [ ] #29457 is_extension_type
- [ ] #29731 remove `keep_tz` kwarg from `DatetimeIndex.to_series`
- [ ] #28621 Index.set_value (presumably also IndexEngine.set_value)
- [ ] #29812 Remove truediv kwarg from pd.eval
- [ ] #27745 Categorical.take_nd
- [ ] #29405 Use object dtype for empty Series
- [ ] #29909 ``str.__iter__``
- [ ] #30338 "fname" argument in `to_parquet`, `to_stata`, `to_feather` changed to "path"
- [ ] #30482 `RangeIndex._start, _stop, _step`
- [ ] #30340 `onOffset`, `isAnchored`, `get_offset`
- [ ] #30386 ``pd.np``
- [ ] #30489 ``pd.datetime``
- [ ] #30546 groupby single-list indexing
- [ ] #30615 ``is_copy`` arg in `.take`
- [ ] #30636 ``numpy`` arg in ``read_json``
- [ ] #30656 deprecated ``pd.SparseArray`` (leave in designated pd.array.SparseArray)
- [ ] #30702 `CategoricalIndex.take_nd`
- [ ] #30745 `pandas.util.testing` module.

## 1.0.1
- [ ] #31569 accepting a negative int in `display.max_colwidth`

## 1.1.0
- [ ] #31333 allowing single-item lists containing slice in `Series.__getitem__`
- [ ] #34798 `DataFrame/Series.describe` treats datelike as numeric.
- [ ] #29941 `DataFrame.mean` and `DataFrame.median` with ``numeric_only=None`` will include datetime64 and datetime64tz columns in a future version
- [ ] #31840 `loc.__setitem__` incorrectly accepting positional slices
- [ ] #32516 .to_dict(orient=), for abbreviations
- [ ] #32639 `Categorical.to_dense`
- [ ] #32516 ``.to_dict()`` aliases
- [ ] #33291 `Index.is_mixed`
- [ ] #27573 `read_html` and `read_json` non-keyword args
- [ ] #34418 `read_excel` non-keyword args
- [ ] #33385 `is_categorical`
- [ ] #33595 week, weekofyear in Series.dt,DatetimeIndex 
- [ ] #33637 ``_AXIS_NUMBERS`` and ``_AXIS_NAMES`` properties on NDFrame and child classes
- [ ] #33907 `Index.get_value`
- [ ] #31809 `.resample(base=, loffset=)
- [ ] #34171 `DateOffset.__call__`
- [ ] #33218 `groupby(squeeze=)` 
- [ ] #34193 `Index.__getitem__` with float key
- [ ] #34522 `Period.to_timestamp` "tz" kwarg
- [ ] #34545 `DataFrame/Series.tshift`
- [ ] #34810 `pd.merge` handling `suffixes` as a set.
- [ ] #34853 `DatetimeIndex.to_perioddelta`
- [ ] #34887 `center` keyword in `.expanding()`
- [ ] #30562 `check_less_precise` in `assert_frame_equal/assert_series_equal`
- [ ] #35003 deprecate a same column as the `value` parameter in `DataFrame.melt`
- [ ] #35141 multi-dimensional key to `Series.__getitem__`
- [ ] #34998 `group_keys` ignored for transform-like apply.
- [ ] #35165 `Offset.apply_index`

## 1.2.0
- [ ] #35626 ``inplace`` parameter in ``MultiIndex.set_codes`` and ``MultiIndex.set_levels``
- [ ] #35853 `dtype` parameters in `Index.copy`
- [ ] #35741 `pandas/io/date_converters.py`
- [ ] #36418 `Index.to_native_type`
- [ ] #36179 string indexing along index for datetimes
- [ ] #36685 `MultiIndex.copy(level, codes)`
- [ ] #36649 `.rolling(min_periods=None ...).count()`
- [ ] #36795 automatic alignment on DataFrame cmp Series
- [ ] #36148 Indexing tz-aware with tz-naive
- [ ] #36695 regex=True in str.replace()
- [ ] #36900 Index.ravel
- [ ] #36695 default value of regex for Series.str.replace
- [ ] #36838 'Y', 'M', 'y' units in to_timedelta
- [ ] #37374 `Index.__and__`, `__or__`, `__xor__` behaving as setops
- [ ] #37545 `Categorical.is_dtype_equal` and `CategoricalIndex.is_dtype_equal`
- [ ] #37601 `DataFrame.slice_shift`
- [ ] #37819 partial indexing of a non-monotonic DTI
- [ ] #37877 Index.asi8
- [ ] #37918 `Categorical.remove_unused_categories`
- [ ] #37982 `how` keyword in `Period.astype`
- [ ] #37999 `null_counts` in `DataFrame.info`
- [ ] #35029 default for `read_excel` with `engine=None` changing
- [ ] #38134 `ndim` arg in `Block.__init__`
- [ ] #35967 `observed=False` keyword in groupby (this is pending)
- [ ] #38317 `xlwt` in excel writing

## 1.2.5
- [ ] #41789 lists in `.xs` 

## 1.3.0
- [ ] #38544 `.astype(int)` on datetimelikes
- [ ] #38597 `Index` constuction sub-class keywords, [additional tests needed](https://github.com/pandas-dev/pandas/pull/38597#issue-543156552)
- [ ] #38472 passing a scalar to `Categorical` constructor
- [ ] #36697 `Index.is_all_dates` (tentative as reverted)
- [ ] #36131 `Timestamp` comparsion to `datetime.date`
- [ ] #38836 `try_cast` in `.where/.mask`
- [ ] #38701 `MultiIndex.is_lexsorted`
- [ ] #38963 `Rolling.win_type` returning `"freq"` & `Rolling.is_datetimelike`
- [ ] #38963 `Rolling.is_datetimelike`
- [ ] #39022 `DataFrame.iloc[DataFrame.indexer] = ....`
- [ ] #39220 `EWM.vol`
- [ ] #39258 `.astype()` with a tz-naive timestamp/index.
- [ ] #39022 `DataFrame.iloc` alignment with boolean DataFrame input
- [ ] #39767 .reindex with an incorrect fill value
- [ ] #40134 `Styler.set_precision` and `Styler.set_na_rep`
- [ ] #40238 partial failure in `Series.transform` or `DataFrame.transform`
- [ ] #40430 kwargs in `read_excel`
- [ ] #40363 MaskedRecords
- [ ] #40527 `CategoricalBlock`
- [ ] #40571 Block.is_categorical
- [ ] #40869 `level=` kwarg in `DataFrame` reduction methods
- [ ] #40991 merging with duplicated suffixes
- [ ] #40993 merging with non-equal number of levels
- [ ] #37981 `Categorial.remove_categories`
- [ ] #41118 `Categorical.add_categories`
- [ ] #41133 `Categorical.reorder_categories`
- [ ] #40821 `Styler.where`
- [ ] #41176 `ExcelFile` are `convert_float`
- [ ] #41378 `Index._maybe_slice_bound` loc keyword
- [ ] #41429 setting `Categorical._codes`
- [ ] #41130 `usecols` in `read_csv` that are out of bounds
- [ ] #41458 `DatatimeIndex.union` with mixed-timezones
- [ ] #41480 DataFrame reduction with nuiscance columns
- [ ] #41475 DataFrame groupby reductions with nuiscance columns
- [ ] #41510 Positional args in .interpolate
- [ ] #41559 Positional args in .fillna
- [ ] #41551 Positional args in .set_names
- [ ] #41523 Positional args in .where
- [ ] #41580 Positional args in .mask
- [ ] #41506 Positional args in .sort_index
- [ ] #41486 Positional args in .drop
- [ ] #41504 Positional args in .dropna
- [ ] #41505 Positional args in .sort_values
- [ ] #41508 Positional args in ffill/bfill
- [ ] #41511 Positional args in .clip
- [ ] #41491 Postiional args in .set_axis
- [ ] #41495 Positional args in .set_index
- [ ] #41496 Positional args in .reset_index
- [ ] #41589 Positional args in .set_levels
- [ ] #41650 Positional args in set_codes
- [ ] #41557 Dataframe construction with categorical in a list of arrays
- [ ] #41555 Series/DataFrame with tzaware data and tznaive dtype
- [ ] #40413 `read_csv`, `error_bad_lines`, `warn_bad_lines`
- [ ] #41657 Positional args in `read_csv`
- [ ] #41717 Positional args in `read_table`
- [ ] #41662 Series construction with i8 and DatetimeTZDtype as UTC
- [ ] #41734 Series construction with smaller dtypes than possible
- [ ] #41733 Dataframe construction ignoring invalid dtypes
- [ ] #41731 Series inference of M8, m8 w/o dtype
- [ ] #41770 Dataframe construction with int dtypes and floats.
- [ ] #40628 `Series.between`, inclusive options

## 1.4.0
- [ ] #42113 `Index.is_type_compatible`
- [ ] #42215 Setitem with integer and `Float64Index`
- [ ] #42269 `Index.get_loc` with `method=`
- [ ] #42351 Indexing with a MultiIndex and missing keys
- [ ] #43028 `Int64Index`, `Float64Index`, `UInt64Index`
- [ ] #43265 .ewm(times=) as a string
- [ ] #43427 squeeze arg in `pd.read_csv`, `pd.read_excel`
- [ ] #43523 `index` arg to `SparseArray`
- [ ] #43504 `closed` arg in `pd.date_range`
- [ ] #43248 `includes_*` args in `.between_time`
- [ ] #43665 Rolling/Expanding.validate
- [ ] #43743,#43741 silent dropping of nuscance columns in .transform
- [ ] #43771 .hide_index / .hide_columns in Styler
- [ ] #44193 DeprecationWarning on fastparquet checks
- [ ] #44243 comparision of tzs
- [ ] #44294 'errors' kw in `.mask` and `.where`
- [ ] #44398 `PeriodArray.astype` to dti
- [ ] #44522 `DateOffset.apply`
- [ ] #44539 `Series.append` & `DataFrame.append`
- [ ] #44411 `DataFrame.to_latex` to use `Styler.to_latex`