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
In addition to DataFrame.describe(include = 'all') one can also use Series.value_counts() for each categorical column:
DataFrame.describe(include = 'all')
Series.value_counts()
In[1]: df = pd.DataFrame({'$a':['a', 'b', 'c', 'd', 'a'], '$b': np.arange(5)}) df['$a'].value_counts() Out[1]: $a a 2 d 1 b 1 c 1