Named Aggregation : Can't use multiple lambda on the same column

[alapini]

Note : I read #28467 before posting this

Code Sample, a copy-pastable example if possible

Reproduction :

import numpy as np
import pandas as pd
print(pd.__version__) # 0.25.3
animals = pd.DataFrame({'kind': ['cat', 'dog', 'cat', 'dog'],
                            'height': [9.1, 6.0, 9.5, 34.0],
                            'weight': [7.9, 7.5, 9.9, 198.0]})
aggegators = {
    'perc80' : ('height', lambda x:np.percentile(x, q=.80)),
    'perc90' : ('height', lambda x:np.percentile(x, q=.90)),
}
animals.groupby('kind').agg(**aggegators)

Problem description

Applying multiple unnamed aggregation functions to the same column throws the exception below, but may not, I think.
"None of [MultiIndex([('height', '<lambda>'),\n ('height', '<lambda>')],\n )] are in the [columns]"

Expected Output

Code without unnamed functions works fine

import numpy as np
import pandas as pd
print(pd.__version__) # 0.25.3
animals = pd.DataFrame({'kind': ['cat', 'dog', 'cat', 'dog'],
                            'height': [9.1, 6.0, 9.5, 34.0],
                            'weight': [7.9, 7.5, 9.9, 198.0]})

def perc80(x):
    return np.percentile(x,q=.80)

def perc90(x):
    return np.percentile(x,q=.90)

aggegators2 = {
    'perc80' : ('height', perc80),
    'perc90' : ('height', perc90),
}
animals.groupby('kind').agg(**aggegators2)

Output of pd.show_versions()

INSTALLED VERSIONS

commit : None
python : 3.6.9.final.0
python-bits : 64
OS : Linux
OS-release : 4.4.0-18362-Microsoft
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 0.25.3
numpy : 1.17.4
pytz : 2019.3
dateutil : 2.8.1
pip : 19.3.1
setuptools : 42.0.2.post20191203
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : 7.10.2
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.1.1
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None