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fillna ignoring axis=1 parameter

See original GitHub issue

Code Sample, a copy-pastable example if possible

df = pd.DataFrame({'Col1':[np.nan]*5,
                   'Col2':[1]*5,
                   'Col3':[2,np.nan,2,2,2],
                   'Col4':[3,np.nan,3,np.nan,3],
                   'Col5':[4,np.nan,np.nan,np.nan,4],
                   'Col6':[np.nan]*5,
                   'Col7':[np.nan]*5,
                   'Col8':[np.nan]*5})

print(df)

   Col1  Col2  Col3  Col4  Col5  Col6  Col7  Col8
0   NaN     1   2.0   3.0   4.0   NaN   NaN   NaN
1   NaN     1   NaN   NaN   NaN   NaN   NaN   NaN
2   NaN     1   2.0   3.0   NaN   NaN   NaN   NaN
3   NaN     1   2.0   NaN   NaN   NaN   NaN   NaN
4   NaN     1   2.0   3.0   4.0   NaN   NaN   NaN

df.fillna(0,limit=2,axis=1)


   Col1  Col2  Col3  Col4  Col5  Col6  Col7  Col8
0   0.0     1   2.0   3.0   4.0   0.0   0.0   0.0
1   0.0     1   0.0   0.0   0.0   0.0   0.0   0.0
2   NaN     1   2.0   3.0   0.0   NaN   NaN   NaN
3   NaN     1   2.0   0.0   NaN   NaN   NaN   NaN
4   NaN     1   2.0   3.0   4.0   NaN   NaN   NaN

Problem description

df.fillna is ignoring axis=1 parameter

Expected Output

df.T.fillna(0,limit=2,axis=1).T

   Col1  Col2  Col3  Col4  Col5  Col6  Col7  Col8
0   0.0   1.0   2.0   3.0   4.0   0.0   NaN   NaN
1   0.0   1.0   0.0   NaN   NaN   NaN   NaN   NaN
2   0.0   1.0   2.0   3.0   0.0   NaN   NaN   NaN
3   0.0   1.0   2.0   0.0   NaN   NaN   NaN   NaN
4   0.0   1.0   2.0   3.0   4.0   0.0   NaN   NaN

Output of `pd.show_versions()`

INSTALLED VERSIONS

commit: None python: 3.5.2.final.0 python-bits: 64 OS: Windows OS-release: 7 machine: AMD64 processor: Intel64 Family 6 Model 26 Stepping 5, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None

pandas: 0.20.3 pytest: 2.9.2 pip: 9.0.1 setuptools: 27.2.0 Cython: 0.25.2 numpy: 1.13.1 scipy: 0.19.0 xarray: 0.9.6 IPython: 5.1.0 sphinx: 1.4.6 patsy: 0.4.1 dateutil: 2.6.1 pytz: 2017.2 blosc: None bottleneck: 1.1.0 tables: 3.2.2 numexpr: 2.6.2 feather: None matplotlib: 2.0.0 openpyxl: 2.3.2 xlrd: 1.0.0 xlwt: 1.1.2 xlsxwriter: 0.9.3 lxml: 3.6.4 bs4: 4.5.1 html5lib: 0.999999999 sqlalchemy: 1.0.13 pymysql: None psycopg2: None jinja2: 2.8 s3fs: None pandas_gbq: None pandas_datareader: 0.2.1