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The documentation for pandas.Index.slice_locs does not specify what happens if the label(s) are not found. Internally it seems to be using pandas.Index.get_slice_bound, so maybe a reference to this method should be added.
Another thing that would be nice is if pandas.Index.slice_locs worked like pandas.Index.get_loc, where the method to find the index can be specified: exact, nearest, etc.
Expected Output
I would expect that the documentation for pandas.Index.slice_locs gives details about what happens if the label is not found. Details about the kind argument would also be nice.
Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.4.final.0
python-bits : 64
OS : Linux
OS-release : 4.4.0-112-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : es_ES.UTF-8
LOCALE : es_ES.UTF-8
#58135)
* add return value if non-existent label is provided in pandas.Index.slice_locs
* fix Line too long error
* remove trailing whitespace
* fix double line break
* writing as example instead of note
pmhatre1
pushed a commit
to pmhatre1/pandas-pmhatre1
that referenced
this issue
May 7, 2024
…s-dev#32680 (pandas-dev#58135)
* add return value if non-existent label is provided in pandas.Index.slice_locs
* fix Line too long error
* remove trailing whitespace
* fix double line break
* writing as example instead of note
Problem description
The documentation for
pandas.Index.slice_locs
does not specify what happens if the label(s) are not found. Internally it seems to be usingpandas.Index.get_slice_bound
, so maybe a reference to this method should be added.Another thing that would be nice is if
pandas.Index.slice_locs
worked likepandas.Index.get_loc
, where the method to find the index can be specified: exact, nearest, etc.Expected Output
I would expect that the documentation for
pandas.Index.slice_locs
gives details about what happens if the label is not found. Details about thekind
argument would also be nice.Output of
pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.4.final.0
python-bits : 64
OS : Linux
OS-release : 4.4.0-112-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : es_ES.UTF-8
LOCALE : es_ES.UTF-8
pandas : 1.0.1
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 19.3.1
setuptools : 41.4.0
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 : 7.8.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.1.3
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 : 0.15.0
xlrd : 1.2.0
xlwt : None
xlsxwriter : None
numba : None
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