I am currently debugging some legacy code to work with newer versions of pandas. I have some information in a Series that I want to build into a new Dataframe:

```
df = pd.DataFrame(old_series, columns=['A'])  # create new dataframe from Series

```

in 0.10.0 this basically creates a new Dataframe with the column name set to "A". In 10.13.1 it seems to try to do something different as it gives me an empty DataFrame.

Can do:

```
df = pd.DataFrame(old_series)
#pseudo_code to find name of column and then use
#pd.rename as per http://stackoverflow.com/questions/12201099/python-pandas-rename-a-series-within-a-dataframe

```

anyone know of a shorter way. Don't really care what the Series used to be called, just want to get it in new DataFrame with heading "A"

Not sure if I was misusing the syntax for my old code or if this is a bug in 0.13.1?