BUG: 1.3.0 column assignment via single column`np.matrix` behaviour change
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

#### Code Sample, a copy-pastable example

```python
import pandas as pd
import numpy as np
from scipy import sparse

X = sparse.random(100, 100, density=0.2, format="csr")
df = pd.DataFrame({"a": np.arange(100)})
df["X_sum"] = X.sum(axis=1)
df
```

Before 1.3.0, this worked fine. As of 1.3.0, displaying df fails with:


<details>
<summary> traceback </summary>

```pytb
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/usr/local/lib/python3.8/site-packages/IPython/core/formatters.py in __call__(self, obj)
    700                 type_pprinters=self.type_printers,
    701                 deferred_pprinters=self.deferred_printers)
--> 702             printer.pretty(obj)
    703             printer.flush()
    704             return stream.getvalue()

/usr/local/lib/python3.8/site-packages/IPython/lib/pretty.py in pretty(self, obj)
    392                         if cls is not object \
    393                                 and callable(cls.__dict__.get('__repr__')):
--> 394                             return _repr_pprint(obj, self, cycle)
    395 
    396             return _default_pprint(obj, self, cycle)

/usr/local/lib/python3.8/site-packages/IPython/lib/pretty.py in _repr_pprint(obj, p, cycle)
    698     """A pprint that just redirects to the normal repr function."""
    699     # Find newlines and replace them with p.break_()
--> 700     output = repr(obj)
    701     lines = output.splitlines()
    702     with p.group():

/usr/local/lib/python3.8/site-packages/pandas/core/frame.py in __repr__(self)
    993         else:
    994             width = None
--> 995         self.to_string(
    996             buf=buf,
    997             max_rows=max_rows,

/usr/local/lib/python3.8/site-packages/pandas/core/frame.py in to_string(self, buf, columns, col_space, header, index, na_rep, formatters, float_format, sparsify, index_names, justify, max_rows, min_rows, max_cols, show_dimensions, decimal, line_width, max_colwidth, encoding)
   1129                 decimal=decimal,
   1130             )
-> 1131             return fmt.DataFrameRenderer(formatter).to_string(
   1132                 buf=buf,
   1133                 encoding=encoding,

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in to_string(self, buf, encoding, line_width)
   1051 
   1052         string_formatter = StringFormatter(self.fmt, line_width=line_width)
-> 1053         string = string_formatter.to_string()
   1054         return save_to_buffer(string, buf=buf, encoding=encoding)
   1055 

/usr/local/lib/python3.8/site-packages/pandas/io/formats/string.py in to_string(self)
     23 
     24     def to_string(self) -> str:
---> 25         text = self._get_string_representation()
     26         if self.fmt.should_show_dimensions:
     27             text = "".join([text, self.fmt.dimensions_info])

/usr/local/lib/python3.8/site-packages/pandas/io/formats/string.py in _get_string_representation(self)
     38             return self._empty_info_line
     39 
---> 40         strcols = self._get_strcols()
     41 
     42         if self.line_width is None:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/string.py in _get_strcols(self)
     29 
     30     def _get_strcols(self) -> list[list[str]]:
---> 31         strcols = self.fmt.get_strcols()
     32         if self.fmt.is_truncated:
     33             strcols = self._insert_dot_separators(strcols)

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in get_strcols(self)
    538         Render a DataFrame to a list of columns (as lists of strings).
    539         """
--> 540         strcols = self._get_strcols_without_index()
    541 
    542         if self.index:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in _get_strcols_without_index(self)
    802                 int(self.col_space.get(c, 0)), *(self.adj.len(x) for x in cheader)
    803             )
--> 804             fmt_values = self.format_col(i)
    805             fmt_values = _make_fixed_width(
    806                 fmt_values, self.justify, minimum=header_colwidth, adj=self.adj

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in format_col(self, i)
    816         frame = self.tr_frame
    817         formatter = self._get_formatter(i)
--> 818         return format_array(
    819             frame.iloc[:, i]._values,
    820             formatter,

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in format_array(values, formatter, float_format, na_rep, digits, space, justify, decimal, leading_space, quoting)
   1238     )
   1239 
-> 1240     return fmt_obj.get_result()
   1241 
   1242 

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in get_result(self)
   1269 
   1270     def get_result(self) -> list[str]:
-> 1271         fmt_values = self._format_strings()
   1272         return _make_fixed_width(fmt_values, self.justify)
   1273 

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in _format_strings(self)
   1516 
   1517     def _format_strings(self) -> list[str]:
-> 1518         return list(self.get_result_as_array())
   1519 
   1520 

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in get_result_as_array(self)
   1480             float_format = lambda value: self.float_format % value
   1481 
-> 1482         formatted_values = format_values_with(float_format)
   1483 
   1484         if not self.fixed_width:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in format_values_with(float_format)
   1454             values = self.values
   1455             is_complex = is_complex_dtype(values)
-> 1456             values = format_with_na_rep(values, formatter, na_rep)
   1457 
   1458             if self.fixed_width:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in format_with_na_rep(values, formatter, na_rep)
   1425             mask = isna(values)
   1426             formatted = np.array(
-> 1427                 [
   1428                     formatter(val) if not m else na_rep
   1429                     for val, m in zip(values.ravel(), mask.ravel())

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in <listcomp>(.0)
   1426             formatted = np.array(
   1427                 [
-> 1428                     formatter(val) if not m else na_rep
   1429                     for val, m in zip(values.ravel(), mask.ravel())
   1430                 ]

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/usr/local/lib/python3.8/site-packages/IPython/core/formatters.py in __call__(self, obj)
    343             method = get_real_method(obj, self.print_method)
    344             if method is not None:
--> 345                 return method()
    346             return None
    347         else:

/usr/local/lib/python3.8/site-packages/pandas/core/frame.py in _repr_html_(self)
   1045                 decimal=".",
   1046             )
-> 1047             return fmt.DataFrameRenderer(formatter).to_html(notebook=True)
   1048         else:
   1049             return None

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in to_html(self, buf, encoding, classes, notebook, border, table_id, render_links)
   1027             render_links=render_links,
   1028         )
-> 1029         string = html_formatter.to_string()
   1030         return save_to_buffer(string, buf=buf, encoding=encoding)
   1031 

/usr/local/lib/python3.8/site-packages/pandas/io/formats/html.py in to_string(self)
     70 
     71     def to_string(self) -> str:
---> 72         lines = self.render()
     73         if any(isinstance(x, str) for x in lines):
     74             lines = [str(x) for x in lines]

/usr/local/lib/python3.8/site-packages/pandas/io/formats/html.py in render(self)
    619         self.write("<div>")
    620         self.write_style()
--> 621         super().render()
    622         self.write("</div>")
    623         return self.elements

/usr/local/lib/python3.8/site-packages/pandas/io/formats/html.py in render(self)
     76 
     77     def render(self) -> list[str]:
---> 78         self._write_table()
     79 
     80         if self.should_show_dimensions:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/html.py in _write_table(self, indent)
    246             self._write_header(indent + self.indent_delta)
    247 
--> 248         self._write_body(indent + self.indent_delta)
    249 
    250         self.write("</table>", indent)

/usr/local/lib/python3.8/site-packages/pandas/io/formats/html.py in _write_body(self, indent)
    393     def _write_body(self, indent: int) -> None:
    394         self.write("<tbody>", indent)
--> 395         fmt_values = self._get_formatted_values()
    396 
    397         # write values

/usr/local/lib/python3.8/site-packages/pandas/io/formats/html.py in _get_formatted_values(self)
    583 
    584     def _get_formatted_values(self) -> dict[int, list[str]]:
--> 585         return {i: self.fmt.format_col(i) for i in range(self.ncols)}
    586 
    587     def _get_columns_formatted_values(self) -> list[str]:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/html.py in <dictcomp>(.0)
    583 
    584     def _get_formatted_values(self) -> dict[int, list[str]]:
--> 585         return {i: self.fmt.format_col(i) for i in range(self.ncols)}
    586 
    587     def _get_columns_formatted_values(self) -> list[str]:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in format_col(self, i)
    816         frame = self.tr_frame
    817         formatter = self._get_formatter(i)
--> 818         return format_array(
    819             frame.iloc[:, i]._values,
    820             formatter,

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in format_array(values, formatter, float_format, na_rep, digits, space, justify, decimal, leading_space, quoting)
   1238     )
   1239 
-> 1240     return fmt_obj.get_result()
   1241 
   1242 

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in get_result(self)
   1269 
   1270     def get_result(self) -> list[str]:
-> 1271         fmt_values = self._format_strings()
   1272         return _make_fixed_width(fmt_values, self.justify)
   1273 

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in _format_strings(self)
   1516 
   1517     def _format_strings(self) -> list[str]:
-> 1518         return list(self.get_result_as_array())
   1519 
   1520 

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in get_result_as_array(self)
   1480             float_format = lambda value: self.float_format % value
   1481 
-> 1482         formatted_values = format_values_with(float_format)
   1483 
   1484         if not self.fixed_width:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in format_values_with(float_format)
   1454             values = self.values
   1455             is_complex = is_complex_dtype(values)
-> 1456             values = format_with_na_rep(values, formatter, na_rep)
   1457 
   1458             if self.fixed_width:

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in format_with_na_rep(values, formatter, na_rep)
   1425             mask = isna(values)
   1426             formatted = np.array(
-> 1427                 [
   1428                     formatter(val) if not m else na_rep
   1429                     for val, m in zip(values.ravel(), mask.ravel())

/usr/local/lib/python3.8/site-packages/pandas/io/formats/format.py in <listcomp>(.0)
   1426             formatted = np.array(
   1427                 [
-> 1428                     formatter(val) if not m else na_rep
   1429                     for val, m in zip(values.ravel(), mask.ravel())
   1430                 ]

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
```

</details>

I discovered this new behaviour due to [our tests starting to fail](https://dev.azure.com/theislab/scanpy/_build/results?buildId=1078&view=logs&jobId=3ddc076e-0ab2-5212-d413-e45088e3a21e&j=9510bc2d-a38a-5fa2-99ea-073a9399fe06&t=0770b0df-44e0-560a-3d20-4284697180f3). What was causing that was:

```python
df["sum"] = X.sum(axis=1)
df["log1p_sum"] = np.log1p(df["sum"])
```

failing with:

<details>
<summary> traceback </summary>

```pytb
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-24-4ada647d56a0> in <module>
      1 df["sum"] = X.sum(axis=1)
----> 2 df["log1p_sum"] = np.log1p(df["sum"])

/usr/local/lib/python3.8/site-packages/pandas/core/frame.py in __setitem__(self, key, value)
   3605         else:
   3606             # set column
-> 3607             self._set_item(key, value)
   3608 
   3609     def _setitem_slice(self, key: slice, value):

/usr/local/lib/python3.8/site-packages/pandas/core/frame.py in _set_item(self, key, value)
   3777         ensure homogeneity.
   3778         """
-> 3779         value = self._sanitize_column(value)
   3780 
   3781         if (

/usr/local/lib/python3.8/site-packages/pandas/core/frame.py in _sanitize_column(self, value)
   4502 
   4503         if is_list_like(value):
-> 4504             com.require_length_match(value, self.index)
   4505         return sanitize_array(value, self.index, copy=True, allow_2d=True)
   4506 

/usr/local/lib/python3.8/site-packages/pandas/core/common.py in require_length_match(data, index)
    525     """
    526     if len(data) != len(index):
--> 527         raise ValueError(
    528             "Length of values "
    529             f"({len(data)}) "

ValueError: Length of values (1) does not match length of index (100)
```

</details>

#### Problem description

This problem is being triggered because the result of `X.sum(axis=1)` when `X` is a scipy sparse matrix is not a 1d numpy ndarray, but a `np.matrix` with one column. This used to be handled by pandas, but now isn't.

This is a problem because it's a behaviour change that breaks existing code. As far as I can tell from the release notes, this was not an intentional behaviour change. It does look like some things around column assignment did change, and I imagine that assigning with deprecated numpy types was not considered.

#### Expected Output

I would expect this to not error, and for this to pass: `np.testing.assert_array_equal(df["X_sum"], np.ravel(X.sum(axis=1)))`

#### Output of ``pd.show_versions()``

<details>

```
INSTALLED VERSIONS
------------------
commit           : f00ed8f47020034e752baf0250483053340971b0
python           : 3.8.10.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 20.5.0
Version          : Darwin Kernel Version 20.5.0: Sat May  8 05:10:33 PDT 2021; root:xnu-7195.121.3~9/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.3.0
numpy            : 1.21.0
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 21.1.3
setuptools       : 56.0.0
Cython           : 0.29.23
pytest           : 6.2.4
hypothesis       : None
sphinx           : 4.0.2
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.6.3
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.23.1
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : None
fsspec           : 2021.06.0
fastparquet      : 0.4.1
gcsfs            : None
matplotlib       : 3.4.2
numexpr          : 2.7.2
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 4.0.1
pyxlsb           : None
s3fs             : 0.4.2
scipy            : 1.7.0
sqlalchemy       : 1.3.18
tables           : 3.6.1
tabulate         : 0.8.7
xarray           : 0.18.2
xlrd             : 1.2.0
xlwt             : None
numba            : 0.53.1
```

</details>
