pandas: Series.replace fails to replace value
Code Sample, a copy-pastable example if possible
In [93]: ser.eq('nil').sum()
Out[93]: 1
In [94]: ser.replace('nil', pd.NA).eq('nil').sum()
/home/torstein/anaconda3/lib/python3.7/site-packages/pandas/core/missing.py:47: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
mask = arr == x
Out[94]: 1
In [95]: ser.loc[(ser == 'nil').fillna(False)] = pd.NA
In [104]: ser.eq('nil').sum()
Out[104]: 0
Output of pd.show_versions()
[paste the output of pd.show_versions()
here below this line]
INSTALLED VERSIONS
commit : None python : 3.7.5.final.0 python-bits : 64 OS : Linux OS-release : 5.4.18-100.fc30.x86_64 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : nb_NO.UTF-8 LOCALE : nb_NO.UTF-8
pandas : 1.0.1 numpy : 1.17.3 pytz : 2019.3 dateutil : 2.8.0 pip : 19.3.1 setuptools : 41.6.0.post20191030 Cython : 0.29.13 pytest : 5.2.2 hypothesis : None sphinx : 2.2.1 blosc : None feather : None xlsxwriter : 1.2.2 lxml.etree : 4.4.1 html5lib : 1.0.1 pymysql : None psycopg2 : 2.8.4 (dt dec pq3 ext lo64) jinja2 : 2.10.3 IPython : 7.9.0 pandas_datareader: None bs4 : 4.8.1 bottleneck : 1.2.1 fastparquet : None gcsfs : None lxml.etree : 4.4.1 matplotlib : 2.2.3 numexpr : 2.7.0 odfpy : None openpyxl : 3.0.0 pandas_gbq : None pyarrow : 0.15.1 pytables : None pytest : 5.2.2 pyxlsb : None s3fs : None scipy : 1.3.1 sqlalchemy : 1.3.10 tables : 3.5.2 tabulate : 0.8.5 xarray : None xlrd : 1.2.0 xlwt : 1.3.0 xlsxwriter : 1.2.2 numba : 0.46.0
About this issue
- Original URL
- State: closed
- Created 4 years ago
- Reactions: 1
- Comments: 18 (11 by maintainers)
This works now, may need tests