I am running \'describe()\' on a dataframe and getting summaries of only int columns (pandas 14.0).
The documentation says that for object columns frequency of most
'describe()' on a DataFrame only works for numeric types. If you think you have a numeric variable and it doesn't show up in 'decribe()', change the type with:
df[['col1', 'col2']] = df[['col1', 'col2']].astype(float)
You could also create new columns for handling the numeric part of a mix type column, or convert strings to numbers using a dictionary and the map() function.
'describe()' on a non-numerical Series will give you some statistics (like count, unique and the most frequently occurring value).