BUG: erroneous initialization of a DataFrame with Series objects
- [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
x = pd.Series(["a", "b", "c"])
y = pd.Series([1, 2, 3])

pd.DataFrame(y, x)
>>>     0
>>> a NaN
>>> b NaN
>>> c NaN
```
```python
pd.DataFrame(x, y)
>>>      0
>>> 1    b
>>> 2    c
>>> 3  NaN
```
```python
pd.DataFrame(x.values, y.values)
>>>    0
>>> 1  a
>>> 2  b
>>> 3  c
```



#### Problem description

I would expect `pd.Series` objects to be valid inputs for the `DataFrame` constructor.
If this is not the case a warning (or even raising an error) would be nice...

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

<details>

INSTALLED VERSIONS
------------------
commit           : c7f7443c1bad8262358114d5e88cd9c8a308e8aa
python           : 3.9.6.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.17763
machine          : AMD64
processor        : AMD64 Family 25 Model 33 Stepping 0, AuthenticAMD
byteorder        : little
LC_ALL           : None
LANG             : en
LOCALE           : German_Austria.1252

pandas           : 1.3.1
numpy            : 1.21.1
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 21.2.1
setuptools       : 49.6.0.post20210108
Cython           : None
pytest           : 6.2.4
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.2
numexpr          : 2.7.3
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.0
sqlalchemy       : None
tables           : 3.6.1
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
