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rolling, axis, bug, issue, pandas, added, sign, pandasdev, valueerror, projects, wintype, centertrue, raises, mvashishtha, fixed, mroeschke, jyuv, centeringtrue, doc, fix, centering, commit, references, navigation, pull, requests, actions, security, closed, description, version, confirmed, exists, printdfrollingwindow, wintypeboxcar, centertruesum, dataframe, triage, reviewed, team, member, mentioned, test, window, ewma, expanding, github, type, milestone, footer,

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0d7f375 mroeschke closed 2153f23 jyuv mentioned moved bug mention comment metadata assignees personal information bug raises valueerror issue description rolling doc section latest version pandas bug 46135 single-element dataframe center=true added test type projects projects milestone import pandas pandas-de… triage issue bug exists e64dee2 bug fixed bug centering=true fef5f93 doc main branch argument dimensions milestone relationships expect rolling test rolling fix rolling pandas pandas… valueerror window=1 github expanding type issue c3bdfb6 sign requested axis bug single rolling dataframe df fixed expanding centering sign axis=1 axis=0 axis 1

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      headline:BUG: rolling with axis=1, win_type=, and center=True raises ValueError
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd df = pd.DataFrame([[0]]) # this works: print(df.rolling(window=1, axis=0, win_type="boxcar", center=True).sum()) # This raises ValueError: print(df.rolling(window=1, axis=1, win_type="boxcar", center=True).sum()) ``` ### Issue Description I start with a dataframe with a single value, 0. Rolling over columns with the above parameters gives: ``` 0 0 3.0 ``` Rolling over rows with `axis=1` instead gives `ValueError: Requested axis is larger then no. of argument dimensions`: <details> <summary>Show stack trace</summary> ``` --------------------------------------------------------------------------- ValueError Traceback (most recent call last) Input In [48], in <module> ----> 1 df.rolling(window=1, axis=1, win_type="boxcar", center=True).sum() File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:1216, in Window.sum(self, *args, **kwargs) 1212 window_func = window_aggregations.roll_weighted_sum 1213 # error: Argument 1 to "_apply" of "Window" has incompatible type 1214 # "Callable[[ndarray, ndarray, int], ndarray]"; expected 1215 # "Callable[[ndarray, int, int], ndarray]" -> 1216 return self._apply(window_func, name="sum", **kwargs) File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:1154, in Window._apply(self, func, name, numba_cache_key, numba_args, **kwargs) 1150 result = self._center_window(result, offset) 1152 return result -> 1154 return self._apply_blockwise(homogeneous_func, name) File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:462, in BaseWindow._apply_blockwise(self, homogeneous_func, name) 459 for i, arr in enumerate(obj._iter_column_arrays()): 460 # GH#42736 operate column-wise instead of block-wise 461 try: --> 462 res = hfunc(arr) 463 except (TypeError, NotImplementedError): 464 pass File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:452, in BaseWindow._apply_blockwise.<locals>.hfunc(values) 450 def hfunc(values: ArrayLike) -> ArrayLike: 451 values = self._prep_values(values) --> 452 return homogeneous_func(values) File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:1150, in Window._apply.<locals>.homogeneous_func(values) 1147 result = np.asarray(calc(values)) 1149 if self.center: -> 1150 result = self._center_window(result, offset) 1152 return result File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:1092, in Window._center_window(self, result, offset) 1088 """ 1089 Center the result in the window for weighted rolling aggregations. 1090 """ 1091 if self.axis > result.ndim - 1: -> 1092 raise ValueError("Requested axis is larger then no. of argument dimensions") 1094 if offset > 0: 1095 lead_indexer = [slice(None)] * result.ndim ValueError: Requested axis is larger then no. of argument dimensions ``` </details> ### Expected Behavior I expect rolling over axis 1 to give the same result as rolling over axis 0 for this single-element dataframe. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : b4e578db857f0705144a56eac0ab65d6fb0a8760 python : 3.9.10.final.0 python-bits : 64 OS : Darwin OS-release : 21.3.0 Version : Darwin Kernel Version 21.3.0: Wed Jan 5 21:37:58 PST 2022; root:xnu-8019.80.24~20/RELEASE_X86_64 machine : x86_64 processor : i386 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.5.0.dev0+122.gb4e578db85 numpy : 1.22.1 pytz : 2021.3 dateutil : 2.8.2 pip : 22.0.3 setuptools : 60.8.2 Cython : 0.29.27 pytest : 7.0.0 hypothesis : None sphinx : 4.4.0 blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : 2.9.3 jinja2 : 3.0.3 IPython : 8.0.0 pandas_datareader: None bs4 : None bottleneck : None fastparquet : None fsspec : 2022.01.0 gcsfs : None matplotlib : 3.5.1 numba : None numexpr : 2.8.1 odfpy : None openpyxl : 3.0.9 pandas_gbq : 0.16.0 pyarrow : 6.0.1 pyreadstat : None pyxlsb : None s3fs : 2022.01.0 scipy : 1.7.3 sqlalchemy : 1.4.31 tables : 3.7.0 tabulate : None xarray : 0.20.2 xlrd : 2.0.1 xlwt : None zstandard : None </details>
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         url:https://github.com/mvashishtha
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      datePublished:2022-02-23T23:00:08.000Z
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      url:https://github.com/46135/pandas/issues/46135
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      headline:BUG: rolling with axis=1, win_type=, and center=True raises ValueError
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd df = pd.DataFrame([[0]]) # this works: print(df.rolling(window=1, axis=0, win_type="boxcar", center=True).sum()) # This raises ValueError: print(df.rolling(window=1, axis=1, win_type="boxcar", center=True).sum()) ``` ### Issue Description I start with a dataframe with a single value, 0. Rolling over columns with the above parameters gives: ``` 0 0 3.0 ``` Rolling over rows with `axis=1` instead gives `ValueError: Requested axis is larger then no. of argument dimensions`: <details> <summary>Show stack trace</summary> ``` --------------------------------------------------------------------------- ValueError Traceback (most recent call last) Input In [48], in <module> ----> 1 df.rolling(window=1, axis=1, win_type="boxcar", center=True).sum() File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:1216, in Window.sum(self, *args, **kwargs) 1212 window_func = window_aggregations.roll_weighted_sum 1213 # error: Argument 1 to "_apply" of "Window" has incompatible type 1214 # "Callable[[ndarray, ndarray, int], ndarray]"; expected 1215 # "Callable[[ndarray, int, int], ndarray]" -> 1216 return self._apply(window_func, name="sum", **kwargs) File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:1154, in Window._apply(self, func, name, numba_cache_key, numba_args, **kwargs) 1150 result = self._center_window(result, offset) 1152 return result -> 1154 return self._apply_blockwise(homogeneous_func, name) File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:462, in BaseWindow._apply_blockwise(self, homogeneous_func, name) 459 for i, arr in enumerate(obj._iter_column_arrays()): 460 # GH#42736 operate column-wise instead of block-wise 461 try: --> 462 res = hfunc(arr) 463 except (TypeError, NotImplementedError): 464 pass File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:452, in BaseWindow._apply_blockwise.<locals>.hfunc(values) 450 def hfunc(values: ArrayLike) -> ArrayLike: 451 values = self._prep_values(values) --> 452 return homogeneous_func(values) File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:1150, in Window._apply.<locals>.homogeneous_func(values) 1147 result = np.asarray(calc(values)) 1149 if self.center: -> 1150 result = self._center_window(result, offset) 1152 return result File /usr/local/lib/python3.9/site-packages/pandas/core/window/rolling.py:1092, in Window._center_window(self, result, offset) 1088 """ 1089 Center the result in the window for weighted rolling aggregations. 1090 """ 1091 if self.axis > result.ndim - 1: -> 1092 raise ValueError("Requested axis is larger then no. of argument dimensions") 1094 if offset > 0: 1095 lead_indexer = [slice(None)] * result.ndim ValueError: Requested axis is larger then no. of argument dimensions ``` </details> ### Expected Behavior I expect rolling over axis 1 to give the same result as rolling over axis 0 for this single-element dataframe. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : b4e578db857f0705144a56eac0ab65d6fb0a8760 python : 3.9.10.final.0 python-bits : 64 OS : Darwin OS-release : 21.3.0 Version : Darwin Kernel Version 21.3.0: Wed Jan 5 21:37:58 PST 2022; root:xnu-8019.80.24~20/RELEASE_X86_64 machine : x86_64 processor : i386 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.5.0.dev0+122.gb4e578db85 numpy : 1.22.1 pytz : 2021.3 dateutil : 2.8.2 pip : 22.0.3 setuptools : 60.8.2 Cython : 0.29.27 pytest : 7.0.0 hypothesis : None sphinx : 4.4.0 blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : 2.9.3 jinja2 : 3.0.3 IPython : 8.0.0 pandas_datareader: None bs4 : None bottleneck : None fastparquet : None fsspec : 2022.01.0 gcsfs : None matplotlib : 3.5.1 numba : None numexpr : 2.8.1 odfpy : None openpyxl : 3.0.9 pandas_gbq : 0.16.0 pyarrow : 6.0.1 pyreadstat : None pyxlsb : None s3fs : 2022.01.0 scipy : 1.7.3 sqlalchemy : 1.4.31 tables : 3.7.0 tabulate : None xarray : 0.20.2 xlrd : 2.0.1 xlwt : None zstandard : None </details>
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      url:https://github.com/46135/pandas/issues/46135
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