Comments (9)
I think this is an issue with the version of Pandas. Which version of Pandas were you using when you got the error?
I think you are spot on. I got this message regarding this:
FutureWarning: Comparing Series of datetimes with 'datetime.date'. Currently, the
'datetime.date' is coerced to a datetime. In the future pandas will
not coerce, and a TypeError will be raised. To retain the current
behavior, convert the 'datetime.date' to a datetime with
'pd.Timestamp'.
In the installation I have for Stocker, this is the version of Pandas and its dependencies Note that it is in a conda env that makes everything work (I had troubles making fbprophet work due to versions of pystan and others):
>>> pd.show_versions(as_json=False)
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 61 Stepping 4, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.23.4
pytest: None
pip: 18.1
setuptools: 40.6.3
Cython: 0.29.3
numpy: 1.15.4
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.7.5
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 3.0.2
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
Hope this helps. Will try to go into it to see if I can modify Stocker.py to use new Pandas method. Regards.
from data-analysis.
I also met this error... Have you solve this problem?
from data-analysis.
from data-analysis.
I think this is an issue with the version of Pandas. Which version of Pandas were you using when you got the error?
from data-analysis.
I'm having the same problem and went through similar install issues as described by @VictorHM.
I'm new to Python so I'd apppriciate if one could point out a solution or workaround.
Thanks a lot!
from data-analysis.
#22 Solved the type problem for me!
from data-analysis.
I got the same problem with pandas0.23.4, just as described by VictorHM.
Solved the problem by "pd.to_datetime(df['date'], format='%Y%m%d').apply(lambda x: x.date())".the stackoverflow link is here
from data-analysis.
from data-analysis.
I think you are spot on. I got this message regarding this:
FutureWarning: Comparing Series of datetimes with 'datetime.date'. Currently, the
'datetime.date' is coerced to a datetime. In the future pandas will
not coerce, and a TypeError will be raised. To retain the current
behavior, convert the 'datetime.date' to a datetime with
'pd.Timestamp'.
wrapping the datetime in pd.Timestamp(<your_date>)
worked for me to get around that warning.
from data-analysis.
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