DataFrame.rename() function not throwing Error when non existing column pass in dict

[neelpuniwala]

Code

df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
df.rename(index=str, columns={"C": "a", "B": "c"},inplace = True)
df

#Output
        A       c
0	1	4
1	2	5
2	3	6

Problem description

the current behaviour of code is accepting any rename column dictionary. If rename column found in DataFrame, code renamed it but if rename column not found,Ideally, it should throw KeyError. Function will become more robust .

Expected Output

KeyError: 'C'

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.1.final.0 python-bits: 64 OS: Linux OS-release: 4.4.0-124-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_IN LOCALE: en_IN.ISO8859-1

pandas: 0.23.4
pytest: None
pip: 18.0
setuptools: 40.0.0
Cython: None
numpy: 1.15.0
scipy: None
pyarrow: None
xarray: None
IPython: 6.5.0
sphinx: None
patsy: None
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: 1.0.1
sqlalchemy: None
pymysql: 0.9.2
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

[TomAugspurger]

Duplicate of #13473

The current behavior is sometimes useful. We'd be happy to have an errors keyword to control how missing keys should be handled.