Description
"""Pandas bug."""
from io import StringIO
from pandas import read_csv
dtf = read_csv(StringIO('''G,M
G1253,
G1253,0
G1253,0
G1253,
G1253,
G1253,21.3
G1253,32.3
G1253,98.5
G1253,
G1253,121.9
G1253,
G1253,125.6
G1253,136.6
G1253,
G1253,144.2
G1253,
G1253,161.8
G1253,
G1253,180.1
G1253,180.1'''))
grp = dtf.groupby('G')
dtf['M1'] = grp.M.ffill()
dtf['M2'] = grp.M.fillna(method='ffill')
print(dtf[dtf.M1 != dtf.M2][['M1', 'M2']])
assert(dtf.M1.equals(dtf.M2))
Problem description
Expect ffill to be working and equal to fillna(ffill)
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.5.final.0
python-bits: 64
OS: Darwin
OS-release: 17.5.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.23.0
pytest: None
pip: 10.0.1
setuptools: 39.0.1
Cython: None
numpy: 1.14.2
scipy: 1.1.0
pyarrow: 0.9.0.post1
xarray: None
IPython: 6.2.1
sphinx: None
patsy: None
dateutil: 2.7.2
pytz: 2018.3
blosc: None
bottleneck: None
tables: 3.4.3
numexpr: 2.6.4
feather: None
matplotlib: 2.2.0
openpyxl: 2.5.0
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: None
lxml: 4.2.1
bs4: None
html5lib: 0.9999999
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None