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The current behaviour is a problem, because it should be possible always to define Holidays relative to other holidays, instead of finding the "mother" Holiday without a dateoffset.
Expected output would be no error
A potential solution could be to sum consecutive dateoffsets (timedeltas) in the offset list, when a Holiday is constructed.
* support offsets of offsets in holiday creation
* update whatsnew
* add type annotations
* update type annotation
* make types compatible
* update docstring
* don't accept, only raise with more informative exception
* add attribute type hint
* change array to list in docstring
Co-authored-by: Matthew Roeschke <[email protected]>
* broaden if check; specify error message
* update test raises message
---------
Co-authored-by: Matthew Roeschke <[email protected]>
pmhatre1
pushed a commit
to pmhatre1/pandas-pmhatre1
that referenced
this issue
May 7, 2024
…-dev#57938)
* support offsets of offsets in holiday creation
* update whatsnew
* add type annotations
* update type annotation
* make types compatible
* update docstring
* don't accept, only raise with more informative exception
* add attribute type hint
* change array to list in docstring
Co-authored-by: Matthew Roeschke <[email protected]>
* broaden if check; specify error message
* update test raises message
---------
Co-authored-by: Matthew Roeschke <[email protected]>
Code Sample, a copy-pastable example if possible
Problem description
The current behaviour is a problem, because it should be possible always to define Holidays relative to other holidays, instead of finding the "mother" Holiday without a dateoffset.
Expected output would be no error
A potential solution could be to sum consecutive dateoffsets (timedeltas) in the offset list, when a Holiday is constructed.
Expected Output
DatetimeIndex(['2017-11-27', '2018-11-26'], dtype='datetime64[ns]', freq=None)
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
pandas: 0.24.1
pytest: None
pip: 19.3
setuptools: 41.4.0
Cython: 0.29.13
numpy: 1.15.4
scipy: 1.1.0
pyarrow: 0.15.0
xarray: None
IPython: 7.8.0
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2019.3
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: 0.4.0
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: None
sqlalchemy: 1.3.10
pymysql: None
psycopg2: None
jinja2: 2.10.3
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None
The text was updated successfully, but these errors were encountered: