Rolling(axis='columns').count() ignores axis= keyword · Issue #13503 · pandas-dev/pandas (original) (raw)

addtl example on #13753

Code Sample, a copy-pastable example if possible

In [1]: import pandas as pd

In [2]: df = pd.DataFrame({'x': range(5), 'y': range(5)})

In [3]: df Out[3]: x y 0 0 0 1 1 1 2 2 2 3 3 3 4 4 4

In [4]: df.rolling(2, axis='columns').sum() # meets expectations Out[4]: x y 0 NaN 0.0 1 NaN 2.0 2 NaN 4.0 3 NaN 6.0 4 NaN 8.0

In [5]: df.rolling(2, axis='columns').count() # appears to be the same as axis='rows' Out[5]: x y 0 1.0 1.0 1 2.0 2.0 2 2.0 2.0 3 2.0 2.0 4 2.0 2.0

In [6]: df.rolling(2, axis='rows').count() # yeah, exactly the same Out[6]: x y 0 1.0 1.0 1 2.0 2.0 2 2.0 2.0 3 2.0 2.0 4 2.0 2.0

output of pd.show_versions()

In [7]: pd.show_versions()

INSTALLED VERSIONS

commit: None python: 3.5.1.final.0 python-bits: 64 OS: Linux OS-release: 4.4.0-24-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8

pandas: 0.18.1 nose: 1.3.7 pip: 8.1.1 setuptools: 20.3 Cython: 0.23.4 numpy: 1.10.4 scipy: 0.17.0 statsmodels: 0.6.1 xarray: None IPython: 4.1.2 sphinx: 1.3.5 patsy: 0.4.0 dateutil: 2.5.1 pytz: 2016.2 blosc: None bottleneck: 1.0.0 tables: 3.2.2 numexpr: 2.5 matplotlib: 1.5.1 openpyxl: 2.3.2 xlrd: 0.9.4 xlwt: 1.0.0 xlsxwriter: 0.8.4 lxml: 3.6.0 bs4: 4.4.1 html5lib: None httplib2: None apiclient: None sqlalchemy: 1.0.12 pymysql: None psycopg2: None jinja2: 2.8 boto: 2.39.0 pandas_datareader: None

Arose from tests in dask/dask#1280