Closed

Description
- the
columns
argument gets clobbered:
In [13]: pd.DataFrame.from_records({1:["foo"],2:["bar"]},columns=['a','b']).columns
Out[13]: Index([1, 2], dtype=int64) - if
index
is specified, andresult_index
computed, it will get clobbered
later on. - if
index
is specified as a list of labels, with the first few matching columns names
and the others not, then sdict will get mutilated, because the removal of columns
occurs within the try clause rather then after success.
EDIT - ignore, I misread the code. - There's duplication against the main Dataframe ctor which also accepts dicts and arrays,
and The exclusion and float coercsion which are unique tofrom_records()
would be useful
to have generally available in the main ctor anyway. - It's unclear if the
columns
argument should be specified relative to the original
data, or relative to the data modulo excluded columns - Doesn't support duplicate column names (Although that's checked with
a warning) - the docstring specifies the datatypes for
data
, which do not include a dict.
But the code specifically checks and handles dict input, This is a minor thing, but
usingcolumns
along with dict is not well defined because of key (non-)ordering,
so the original docstring spec seems more sane.