This PR updates value_counts behavior to match pandas-2.x, the result name will be count (or proportion if normalize=True is passed), and the index will be named after the original object name. This PR also fixes two dtype APIs that are breaking changes on pandas side.

…feature_branch

…feature_branch

This PR drops `inplace` parameters in categorical methods, these are also removed as part of pandas-2.0

…12843)

This PR raises an error when numeric_only=True for rank if the Series is of non-numeric dtype.

…feature_branch

…feature_branch

…feature_branch

This PR drops support for `Series.is_monotonic` & `Index.is_monotonic`. Instead, the alternative will be `.is_monotonic_increasing`.

…feature_branch

…feature_branch

…feature_branch

This PR removes support for `datetime_is_numeric` parameter in `describe`.

…in `MultiIndex.copy` (#12898)

This PR removes `dtype` in Index & `MultiIndex.copy`, and `names` in Index.copy

…feature_branch

This PR drops `kind` parameter from `Index.get_slice_bound` to match pandas-2.0 API.

…feature_branch

- [x] This PR removes the deprecation of `numeric_only=None` and defaults to `numeric_only=False`.
- [x] Removes `level` parameter from reduction APIs to match pandas-2.0
- [x] Change `axis` defaults to match pandas-2.0 APIs.

This PR removes `DataFrame.append` & `Series.append` to match pandas-2.0 API. Test usages are now replaced with `.concat` API calls.

…feature_branch

…feature_branch

This PR drops support for `na_sentinel` in factorize APIs, to match with pandas-2.0

…o pandas_2.0_feature_branch

…feature_branch

This PR adds additional information for the following Index APIs to match with pandas 2.0:

 is_numeric
 is_boolean
 is_integer
 is_floating
 is_object
 is_categorical
 is_interval

…feature_branch

…ai/cudf into pandas_2.0_feature_branch

…feature_branch

…feature_branch

This PR contains miscellaneous fixes in pytests. The changes in pytests are due to suttle changes in behaviors from the pandas-2.0 side.

…feature_branch

…feature_branch

Pandas 2.0 introduced support for ufuncs when the two columns are indexed. This PR updates the pytests accordingly.

This PR fixes 1046 pytest failures that are related to `datetime64` & `timedelta64` types.

This PR(`time_2.0`):
```bash
= 990 failed, 86109 passed, 2034 skipped, 995 xfailed, 165 xpassed in 546.70s (0:09:06) =
```

on `pandas_2.0_feature_branch`:
```bash
== 2036 failed, 85423 passed, 2034 skipped, 860 xfailed in 720.53s (0:12:00) ===
```

…feature_branch

This PR removes a `MultiIndex` construction workaround that retains correct dtypes of each level. Thus fixing 19 pytests:

```bash
= 907 failed, 86196 passed, 2034 skipped, 992 xfailed, 165 xpassed in 536.13s (0:08:56) =
```

On `pandas_2.0_feature_branch`:
```bash
= 926 failed, 86177 passed, 2034 skipped, 992 xfailed, 165 xpassed in 545.17s (0:09:05) =
```

…feature_branch

This PR enables numeric_only for row-wise ops to be on parity with pandas-2.0.

…feature_branch

This PR updates `DataFrame.__getitem__` to be able to work with pandas-2.0. For which, we conditionally pass `dtype` to `pandas.Series` constructor so that we don't get a warning in `<2.0` versions.

This PR also fixes 76 pytests:
```
= 907 failed, 86353 passed, 2034 skipped, 992 xfailed, 165 xpassed in 504.93s (0:08:24) =
```
on `pandas_2.0_feature_branch`:
```
= 983 failed, 86277 passed, 2034 skipped, 992 xfailed, 165 xpassed in 515.47s (0:08:35) =
```

…feature_branch

This PR drops support for `pad` and `backfill` in `GroupBy`.

This PR:
```
= 881 failed, 86383 passed, 2034 skipped, 956 xfailed, 165 xpassed in 522.05s (0:08:42) =
```
On `pandas_2.0_feature_branch`:
```
= 911 failed, 86389 passed, 2034 skipped, 956 xfailed, 165 xpassed in 521.12s (0:08:41) =
```

…iate `None` for `name` parameter (#13152)

In `pandas-2.0` the behavior for `name` parameter has changed to actually name a column `0` if no value is passed to `name`. But if `name=None`, the column will be named `None` too:

```python
In [1]: import pandas as pd

In [2]: s = pd.Series([10, 11, 23], index=[2, 3, 5])

In [3]: s
Out[3]: 
2    10
3    11
5    23
dtype: int64

In [4]: s.reset_index()
Out[4]: 
   index   0
0      2  10
1      3  11
2      5  23

In [5]: s.reset_index(name=None)
Out[5]: 
   index  None
0      2    10
1      3    11
2      5    23
```

To achieve the same behavior in `cudf`, we had to introduce `no_default` value(which is same as pandas's `no_default` value). 

This also fixes 18 pytests:
```
= 965 failed, 86325 passed, 2044 skipped, 992 xfailed, 165 xpassed in 508.32s (0:08:28) =
```
On `pandas_2.0_feature_branch`:

```
= 983 failed, 86277 passed, 2034 skipped, 992 xfailed, 165 xpassed in 541.87s (0:09:01) =
```

With `pandas-2.0`, `pd.api.types.is_string_dtype(obj)` is going to perform a data-introspection to determine the true dtype of the underlying data. This path won't work for gpu objects, hence this PR adds special handling for GPU objects before we hit `pd.api.types.is_string_dtype(obj)` API.

This PR fixes 56 pytests:
```
= 927 failed, 86333 passed, 2034 skipped, 992 xfailed, 165 xpassed in 506.69s (0:08:26) =
```
On `pandas_2.0_feature_branch`:
```
= 983 failed, 86277 passed, 2034 skipped, 992 xfailed, 165 xpassed in 557.07s (0:09:17) =
```

…feature_branch

This PR adds pytest handling for wanring incase of pad and backfill.

…pecasting (#13164)


This PR fixes some of the `to_datetime` related pytests and also raises error while constructing a time-zone un-aware type to datetime types.

This PR fixes 62 pytests:
```
= 745 failed, 87877 passed, 2044 skipped, 956 xfailed, 165 xpassed in 492.06s (0:08:12) =
```
On `pandas_2.0_feature_branch`:
```
= 807 failed, 87819 passed, 2044 skipped, 956 xfailed, 165 xpassed in 488.43s (0:08:08) =
```

…feature_branch

…o pandas_2.0_feature_branch

This PR fixes pytests where empty column object comparisons fail, this is because of the following inconsistency between pandas & cudf:
```python
In [1]: import pandas as pd

In [2]: import cudf

In [3]: pd.DataFrame().columns
Out[3]: RangeIndex(start=0, stop=0, step=1)

In [4]: cudf.DataFrame().columns
Out[4]: Index([], dtype='object')

In [5]: pd.DataFrame().columns.dtype
Out[5]: dtype('int64')

In [6]: cudf.DataFrame().columns.dtype
Out[6]: dtype('O')

```

This PR fixes 28 failures:
```
= 779 failed, 87847 passed, 2044 skipped, 956 xfailed, 165 xpassed in 483.17s (0:08:03) =
```
On `pandas_2.0_feature_branch`:
```
= 807 failed, 87819 passed, 2044 skipped, 956 xfailed, 165 xpassed in 488.43s (0:08:08) =
```

… `DataFrame` and `Series` objects (#13138)

This PR raises an error when there is a binary operation performed between `DataFrame` & `Series` with unequal `columns` and `index` respectively.

This PR fixes 120 pytests:
```
= 833 failed, 86451 passed, 2034 skipped, 968 xfailed, 165 xpassed in 490.86s (0:08:10) =
```
on `pandas_2.0_feature_branch`:
```
= 953 failed, 86307 passed, 2034 skipped, 992 xfailed, 165 xpassed in 511.09s (0:08:31) =
```

…o pandas_2.0_feature_branch

This PR fixes `datetime64` related pytest failures where pandas returns `ns` time resolutions for quite a lot of cases, i.e., mostly on the IO APIs side.

Fixes 72 pytests:
```
= 484 failed, 88162 passed, 2044 skipped, 932 xfailed, 165 xpassed in 444.53s (0:07:24) =
```
On `pandas_2.0_feature_branch`:
```
= 556 failed, 88090 passed, 2044 skipped, 932 xfailed, 165 xpassed in 456.49s (0:07:36) =
```

…feature_branch

…feature_branch

#12890 dropped support for `datetime_is_numeric` from `describe` API. This PR cleans-up a remaining pytest that was using this parameter.

This PR fixes 20 pytests:
```
= 464 failed, 88182 passed, 2044 skipped, 932 xfailed, 165 xpassed in 440.68s (0:07:20) =
```
On `pandas_2.0_feature_branch`:
```
= 484 failed, 88162 passed, 2044 skipped, 932 xfailed, 165 xpassed in 457.87s (0:07:37) =
```

…feature_branch

This PR changes the default dtype for get_dummies to bool from uint8 to match pandas-2.0: pandas-dev/pandas#48022

This PR updates parameter ordering in `DataFrame.pivot` to match pandas-2.0.

This PR fixes 7 related pytests:
```
= 477 failed, 88169 passed, 2044 skipped, 932 xfailed, 165 xpassed in 438.55s (0:07:18) =
```
On `pandas_2.0_feature_branch`:
```
= 484 failed, 88162 passed, 2044 skipped, 932 xfailed, 165 xpassed in 457.87s (0:07:37) =
```

…feature_branch

…feature_branch

A fix for pandas-dev/pandas#52761 has been merged by @mroeschke , this PR xfails the pytests conditionally for `2.0.0` and passes for rest of the versions.

This PR fixes 27 pytests: 
```
= 404 failed, 88221 passed, 2044 skipped, 959 xfailed, 165 xpassed in 442.21s (0:07:22) =
```

On `pandas_2.0_feature_branch`:
```
= 431 failed, 88221 passed, 2044 skipped, 932 xfailed, 165 xpassed in 456.25s (0:07:36) =
```

#12847 introduced support for `numeric_only`, this PR cleans up a `kurt` related pytest that was relying on the old behavior.

This PR fixes 18 pytests :
```
= 413 failed, 88257 passed, 2044 skipped, 932 xfailed, 165 xpassed in 463.03s (0:07:43) =
```

On `pandas_2.0_feature_branch`:
```
= 431 failed, 88221 passed, 2044 skipped, 932 xfailed, 165 xpassed in 456.25s (0:07:36) =
```

Pandas-2.0 fixed the following issue where dtype of the column was being changed even when `np.nan` was not being written to it:
```python

In [1]: import pandas as pd

In [2]: df = pd.DataFrame({'a':[1, 2, 3]})

In [3]: df.dtypes
Out[3]: 
a    int64
dtype: object

In [4]: df
Out[4]: 
   a
0  1
1  2
2  3

In [7]: df[[False]*3] = np.nan

In [8]: df
Out[8]: 
   a
0  1
1  2
2  3

In [9]: df.dtypes
Out[9]: 
a    int64
dtype: object
```

Bug in pre-2.0:
```python

In [1]: import pandas as pd

In [2]: df = pd.DataFrame({'a':[1, 2, 3]})

In [3]: df.dtypes
Out[3]: 
a    int64
dtype: object

In [4]: df
Out[4]: 
   a
0  1
1  2
2  3

In [7]: df[[False]*3] = np.nan

In [8]: df
Out[8]: 
     a
0  1.0
1  2.0
2  3.0

In [9]: df.dtypes
Out[9]: 
a    float64
dtype: object
```

`make_pdf` was basically operating correctly with the help of this bug, this PR makes some fixes to the method and the callers to preserve the pytest behaviors.

This PR fixes 6 pytests:
```
= 425 failed, 88227 passed, 2044 skipped, 932 xfailed, 165 xpassed in 471.32s (0:07:51) =
```
On `pandas_2.0_feature_branch`:
```
= 431 failed, 88221 passed, 2044 skipped, 932 xfailed, 165 xpassed in 456.25s (0:07:36) =
```

…feature_branch

…feature_branch

Pandas-2.0 moved to a very strict & consistent date format inference, we should plan to move similarly but meanwhile for the pytest to pass, we will need to pass date_format='mixed'.
This PR also fixes a miscellaneous issue with MultiIndex.copy docstring.

This PR deprecates `Groupby.dtypes` since it is deprecated in `pandas-2.1`

This PR fixes 5 pytests:
```
= 474 failed, 95510 passed, 2044 skipped, 763 xfailed, 300 xpassed in 459.93s (0:07:39) =
```

On `pandas_2.0_feature_branch`:
```
= 479 failed, 95505 passed, 2044 skipped, 763 xfailed, 300 xpassed in 471.66s (0:07:51) =
```

…13423)

This PR:

- [x] Enforces deprecation in `GroupBy.__iter__` 
- [x] Fixes miscellaneous pytest failures due to already existing differences in cudf vs pandas & nuly introduced `inferred_type` in Index.

In pandas-2.0 `groupby.nth` behavior has changed: https://pandas.pydata.org/docs/whatsnew/v2.0.0.html#dataframegroupby-nth-and-seriesgroupby-nth-now-behave-as-filtrations

This PR enables preserving the callers index in the end result and returns grouping columns as part of the result.

This PR fixes all 12 pytests in `python/cudf/cudf/tests/test_groupby.py::test_groupby_nth`

This PR:

- [x] Enforces `Index` related deprecations by removing `Float32Index`, `Float64Index`, `GenericIndex`, `Int8Index`, `Int16Index`, `Int32Index`, `Int64Index`, `StringIndex`, `UInt8Index`, `UInt16Index`, `UInt32Index`, `UInt64Index`.
- [x] Cleans up the repr logic to more closely align with pandas for `<NA>` value representation incase of `string` dtype.
- [x] Fixes docstring and pytests to support the removals of the above classes.

This PR also fixes 202 pytests:
```bash
= 267 failed, 95670 passed, 2044 skipped, 763 xfailed, 300 xpassed in 442.18s (0:07:22) =
```

On `pandas_2.0_feature_branch`:
```bash
= 469 failed, 95464 passed, 2044 skipped, 763 xfailed, 300 xpassed in 469.26s (0:07:49) =
```

This PR fixes parquet pytest failures, mostly working around two upstream issues:

1. pandas-dev/pandas#53345
2. apache/arrow#33321

Thus fixes 20 pytest failure:
This PR:
```
= 231 failed, 95767 passed, 2045 skipped, 764 xfailed, 300 xpassed in 426.65s (0:07:06) =
```
On `pandas_2.0_feature_branch`:
```
= 251 failed, 95747 passed, 2045 skipped, 764 xfailed, 300 xpassed in 433.50s (0:07:13) =
```

…feature_branch