minimal DataFrame.apply call causes RecursionError
#### Code Sample, a copy-pastable example if possible

```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.zeros((100, 15)))
df.T.apply(dict)

```
```
---------------------------------------------------------------------------
RecursionError                            Traceback (most recent call last)
<ipython-input-153-4987478fba35> in <module>()
      3 #df = pd.DataFrame(np.zeros((2454, 15)))
      4 df = pd.DataFrame(np.zeros((100, 15)))
----> 5 df.T.apply(dict)

~/anaconda3/envs/pmagpy/lib/python3.6/site-packages/pandas/core/frame.py in apply(self, func, axis, broadcast, raw, reduce, result_type, args, **kwds)
   6485                          args=args,
   6486                          kwds=kwds)
-> 6487         return op.get_result()
   6488 
   6489     def applymap(self, func):

~/anaconda3/envs/pmagpy/lib/python3.6/site-packages/pandas/core/apply.py in get_result(self)
    113         if is_list_like(self.f) or is_dict_like(self.f):
    114             return self.obj.aggregate(self.f, axis=self.axis,
--> 115                                       *self.args, **self.kwds)
    116 
    117         # all empty

~/anaconda3/envs/pmagpy/lib/python3.6/site-packages/pandas/core/frame.py in aggregate(self, func, axis, *args, **kwargs)
   6286             pass
   6287         if result is None:
-> 6288             return self.apply(func, axis=axis, args=args, **kwargs)
   6289         return result
   6290 

... last 3 frames repeated, from the frame below ...

~/anaconda3/envs/pmagpy/lib/python3.6/site-packages/pandas/core/frame.py in apply(self, func, axis, broadcast, raw, reduce, result_type, args, **kwds)
   6485                          args=args,
   6486                          kwds=kwds)
-> 6487         return op.get_result()
   6488 
   6489     def applymap(self, func):

RecursionError: maximum recursion depth exceeded
```
#### Problem description

This code snippet did not cause a RecursionError in pandas 0.23.4 and earlier.  It occurs with pandas 0.24.0 and 0.24.1.

This is possibly similar https://github.com/pandas-dev/pandas/issues/23568.

#### Expected Output

Pandas Series:
```
0     {0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0, 5: 0....
1     {0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0, 5: 0....
2     {0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0, 5: 0....
...
```
#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Darwin
OS-release: 17.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.24.1
pytest: 3.8.0
pip: 10.0.1
setuptools: 40.2.0
Cython: 0.28.5
numpy: 1.15.2
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.5.0
sphinx: 1.7.9
patsy: None
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 2.2.3
openpyxl: 2.5.6
xlrd: 1.1.0
xlwt: 1.2.0
xlsxwriter: 1.1.0
lxml.etree: 4.2.5
bs4: 4.6.3
html5lib: 1.0.1
sqlalchemy: 1.2.11
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
</details>