Description
Code Sample, a copy-pastable example if possible
resampled_bookings = bookings.resample('BMS').agg(
unique_identity_ids=pd.NamedAgg(column="identity_id", aggfunc=pd.Series.nunique),
booking_count=pd.NamedAgg(column="booking_id", aggfunc=pd.Series.count),
booking_distance=pd.NamedAgg(column="distance_m", aggfunc=pd.Series.sum)
)Problem description
This error prevents me from aggregating data and (re)naming columns at the same time. Instead, it is necessary to use the following approach, which isn't altogether bad:
resampled_bookings = bookings.resample('BMS').agg({
"booking_id": "count",
"distance_m": sum,
"identity_id": pd.Series.nunique
})
resampled_bookings.rename(columns={
"booking_id": "booking_count",
"distance_m": "booking_distance_m",
"identity_id": "unique_identity_ids"
}, inplace=True)Expected Output
The aggregate function would produce a new DataFrame with the following columns:
- booking_count
- booking_distance_m
- unique_identity_ids
Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.5.final.0
python-bits : 64
OS : Linux
OS-release : 5.3.0-19-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.0.1
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 18.1
setuptools : 40.8.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.1
IPython : 7.12.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.2.0
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pytest : None
pyxlsb : None
s3fs : None
scipy : 1.4.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : None