BUG: Modin iloc does not work when setting list as values

[Maxl94]

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Reproducible Example

import modin.pandas as md
import numpy as np

### Example 1, set multiple values at once

df = md.DataFrame([1, 2, 3, 4], columns=['a'])
df['b'] = None

a = np.array([[1,2,3], [4,5,6]]).reshape(2,-1,3)
print(a.shape)

df.iloc[[1,2], [-1, -1]] = a.tolist()
df


### Example 2, set only one value
import modin.pandas as md

df = md.DataFrame([1, 2, 3, 4], columns=['a'])
df['b'] = None

a = np.array([7,8,9]).reshape(-1, 1)
print(a.shape)

df.iloc[1, -1] = a.tolist()
df

Issue Description

When trying to set a list as value of a DataFrame with .iloc to a row/column, modin raises a ValueError. The same code works as expected using pandas. It appears when setting a single value or setting multiple values at once.

Setting a simple value (e.g. int) instead of a list modin works as expected. The value is set to the DataFrame.

The error for example 1:

ValueError: could not broadcast input array from shape (2, 1, 3) into shape (2, 2)

The error for example 2:

ValueError: could not broadcast input array from shape (3, 1) into shape (1, 1)

Expected Behavior

The list should be assigned as value of the Dataframe for the selected row/column.

Error Logs

The error for example 1:

ValueError                                Traceback (most recent call last)
File ~/Projects/ki-for-mplus-v2/.venv/lib/python3.9/site-packages/modin/pandas/utils.py:330, in broadcast_item(obj, row_lookup, col_lookup, item, need_columns_reindex)
    329     else:
--> 330         return np.broadcast_to(item, to_shape)
    331 except ValueError:

File <__array_function__ internals>:180, in broadcast_to(*args, **kwargs)

File ~/Projects/ki-for-mplus-v2/.venv/lib/python3.9/site-packages/numpy/lib/stride_tricks.py:413, in broadcast_to(array, shape, subok)
    369 """Broadcast an array to a new shape.
    370 
    371 Parameters
   (...)
    411        [1, 2, 3]])
    412 """
--> 413 return _broadcast_to(array, shape, subok=subok, readonly=True)

File ~/Projects/ki-for-mplus-v2/.venv/lib/python3.9/site-packages/numpy/lib/stride_tricks.py:349, in _broadcast_to(array, shape, subok, readonly)
    348 extras = []
--> 349 it = np.nditer(
    350     (array,), flags=['multi_index', 'refs_ok', 'zerosize_ok'] + extras,
    351     op_flags=['readonly'], itershape=shape, order='C')
    352 with it:
    353     # never really has writebackifcopy semantics

ValueError: input operand has more dimensions than allowed by the axis remapping

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
Cell In[40], line 9
      6 a = np.array([[1,2,3], [4,5,6]]).reshape(2,-1,3)
      7 print(a.shape)
----> 9 df.iloc[[1,2], [-1, -1]] = a.tolist()
     10 df

File ~/Projects/ki-for-mplus-v2/.venv/lib/python3.9/site-packages/modin/logging/logger_decorator.py:128, in enable_logging.<locals>.decorator.<locals>.run_and_log(*args, **kwargs)
    113 """
    114 Compute function with logging if Modin logging is enabled.
    115 
   (...)
    125 Any
    126 """
    127 if LogMode.get() == "disable":
...
    334         f"could not broadcast input array from shape {from_shape} into shape "
    335         + f"{to_shape}"
    336     )

ValueError: could not broadcast input array from shape (2, 1, 3) into shape (2, 2)

The error for example 2:

```python-traceback ValueError Traceback (most recent call last) File ~/Projects/ki-for-mplus-v2/.venv/lib/python3.9/site-packages/modin/pandas/utils.py:330, in broadcast_item(obj, row_lookup, col_lookup, item, need_columns_reindex) 329 else: --> 330 return np.broadcast_to(item, to_shape) 331 except ValueError:

File <array_function internals>:180, in broadcast_to(*args, **kwargs)

File ~/Projects/ki-for-mplus-v2/.venv/lib/python3.9/site-packages/numpy/lib/stride_tricks.py:413, in broadcast_to(array, shape, subok)
369 """Broadcast an array to a new shape.
370
371 Parameters
(...)
411 [1, 2, 3]])
412 """
--> 413 return _broadcast_to(array, shape, subok=subok, readonly=True)

File ~/Projects/ki-for-mplus-v2/.venv/lib/python3.9/site-packages/numpy/lib/stride_tricks.py:349, in _broadcast_to(array, shape, subok, readonly)
348 extras = []
--> 349 it = np.nditer(
350 (array,), flags=['multi_index', 'refs_ok', 'zerosize_ok'] + extras,
351 op_flags=['readonly'], itershape=shape, order='C')
352 with it:
353 # never really has writebackifcopy semantics

ValueError: operands could not be broadcast together with remapped shapes [original->remapped]: (3,1) and requested shape (1,1)

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
Cell In[39], line 9
6 a = np.array([7,8,9]).reshape(-1, 1)
7 print(a.shape)
----> 9 df.iloc[1, -1] = a.tolist()
10 df

File ~/Projects/ki-for-mplus-v2/.venv/lib/python3.9/site-packages/modin/logging/logger_decorator.py:128, in enable_logging..decorator..run_and_log(*args, **kwargs)
113 """
114 Compute function with logging if Modin logging is enabled.
115
(...)
125 Any
126 """
127 if LogMode.get() == "disable":
...
334 f"could not broadcast input array from shape {from_shape} into shape "
335 + f"{to_shape}"
336 )

ValueError: could not broadcast input array from shape (3, 1) into shape (1, 1)

</details>

### Installed Versions

<details>

INSTALLED VERSIONS

commit : 7f801ad
python : 3.9.12.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.0-48-generic
Version : #54-Ubuntu SMP Fri Aug 26 13:26:29 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

Modin dependencies

modin : 0.17.1
ray : 2.1.0
dask : None
distributed : None
hdk : None

pandas dependencies

pandas : 1.5.2
numpy : 1.23.5
pytz : 2022.6
dateutil : 2.8.2
setuptools : 65.6.3
pip : 22.0.2
Cython : None
pytest : 7.2.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.7.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2022.11.0
gcsfs : 2022.11.0
matplotlib : 3.6.2
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.10
pandas_gbq : None
pyarrow : 9.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.3
snappy : None
sqlalchemy : None
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
xlwt : None
zstandard : None
tzdata : None

</details>

[pyrito]

@Maxl94 thank you for reporting this bug! I was able to reproduce this on the latest master. I'll take a closer look to see what's causing the issue and open a PR with a fix!