MixedTypeError when there is no mixed type [BUG]

**Describe the bug**
I load a pandas dataframe into cudf using cudf.from_pandas(originaldataframe) and it gives me a mixed type error.

**Steps/Code to reproduce bug**
Original Dataframe:
```
symbol name STOCK_TYPE first_date last_date AGE INDUSTRY marketcap
0 WHFBZ WhiteHorse Finance, Inc. 6.50% Notes due 2025 common 2018-11-30 2021-12-16 1112 Unknown 0.000000
1 ANH Anworth Mortgage Asset Corporation common 1998-03-12 2021-03-19 8408 Unknown 0.000000
2 CEE The Central and Eastern Europe Fund, Inc. common 1990-02-28 2024-01-09 12368 Asset Management 0.062059
3 SEMR SEMrush Holdings, Inc. common 2021-03-24 2024-01-09 1021 Software - Application 1.780361
4 BWMX Betterware de Mexico, S.A.P.I. de C.V. Ordinar... common 2020-03-16 2024-01-09 1394 Specialty Retail 0.470934
... ... ... ... ... ... ... ... ...
9281 GHI Greystone Housing Impact Investors LP Benefici... common 1986-04-02 2024-01-09 13796 Mortgage Finance 0.387465
9282 LMT Lockheed Martin Corp. common 1977-01-03 2024-01-09 17172 Aerospace & Defense 113.205101
9283 ^DJI Dow Jones index 1970-01-02 2024-01-08 19729 Index 0.000000
9284 ^INX S&P 500 index 1970-01-02 2024-01-08 19729 Index 0.000000
9285 ^IXIC NASDAQ index 1971-02-05 2024-01-08 19330 Index 0.000000
```
I created the following function to create a dictionary of all the unique datatypes found for each column, even if there are more than one type in a single column. Here's the function:
```
def get_column_data_types(dataframe):
column_data_types = {}

for column in dataframe.columns:
unique_types = set(type(value) for value in dataframe[column])
column_data_types[column] = unique_types

return column_data_types
```
Here's the output of the column data types:
```
{
'AGE': set([]),
'INDUSTRY': set([]),
'STOCK_TYPE': set([]),
'first_date': set([]),
'last_date': set([]),
'marketcap': set([]),
'name': set([]),
'symbol': set([]),
}
```

As you can see, the function only found one datatype for each column.

Alternatively, if I use pandas built in datatype command `dataframe.dtypes` I get the following:
```
symbol object
name object
STOCK_TYPE object
first_date object
last_date object
AGE int64
INDUSTRY object
marketcap float64
dtype: object
```
So by both tests, each column has only one data type. Though the .dtypes command shows "object" as the datatype. Perhaps that's causing cudf to throw the error?

Here is another example:
```
date NVDA
0 1999-01-22 0.376356
1 1999-01-25 0.415730
2 1999-01-26 0.383428
3 1999-01-27 0.382281
4 1999-01-28 0.381134
... ... ...
6277 2024-01-03 475.690000
6278 2024-01-04 479.980000
6279 2024-01-05 490.970000
6280 2024-01-08 522.530000
6281 2024-01-09 531.400000
```
Running the following:

```
pprint(get_column_data_types(df))
pprint(df.dtypes)
```
gives you the following:

```
{'NVDA': set([]), 'date': set([])}

date object
NVDA float64
dtype: object
```
As you can see, each column has only one data type. Yet when I try to convert df to a cudf using cudf.from_pandas(df), it throws the same mixed type error.

**Expected behavior**
There's no apparent mixtype column in the dataframe so it should be able to open the dataframe without throwing the mixedtype error.

**Environment overview (please complete the following information)**
- Environment location: Local machine. PC running Win 11 using WSL2 Ubuntu
- Method of cuDF install: pip

CUDA 12 installed
NVIDIA GTX 1080 graphics card

**Environment details**
Error thrown in detail:
```
Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/notwopr/.local/lib/python3.10/site-packages/cudf/pandas/__main__.py", line 91, in
main()
File "/home/notwopr/.local/lib/python3.10/site-packages/cudf/pandas/__main__.py", line 87, in main
runpy.run_path(args.args[0], run_name="__main__")
File "/usr/lib/python3.10/runpy.py", line 289, in run_path
return _run_module_code(code, init_globals, run_name,
File "/usr/lib/python3.10/runpy.py", line 96, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "scratchp7.py", line 29, in
stockdatastats = FileOperations().readpkl(oldfn, DirPaths().full_info_db)
File "/home/notwopr/beluga/beluga3/file_functions.py", line 57, in readpkl
data = cudf.from_pandas(data)
File "/home/notwopr/.local/lib/python3.10/site-packages/nvtx/nvtx.py", line 115, in inner
result = func(*args, **kwargs)
File "/home/notwopr/.local/lib/python3.10/site-packages/cudf/core/dataframe.py", line 7891, in from_pandas
return DataFrame.from_pandas(obj, nan_as_null=nan_as_null)
File "/home/notwopr/.local/lib/python3.10/site-packages/nvtx/nvtx.py", line 115, in inner
result = func(*args, **kwargs)
File "/home/notwopr/.local/lib/python3.10/site-packages/cudf/core/dataframe.py", line 5237, in from_pandas
data[col_name] = column.as_column(
File "/home/notwopr/.local/lib/python3.10/site-packages/cudf/core/column/column.py", line 2279, in as_column
raise MixedTypeError("Cannot create column with mixed types")
cudf.errors.MixedTypeError: Cannot create column with mixed types
```

**Additional context**
Add any other context about the problem here.