Find mixed types in Pandas columns

Question

Ever so often I get this warning when parsing data files:

WARNING:py.warnings:/usr/local/python3/miniconda/lib/python3.4/site-
packages/pandas-0.16.0_12_gdcc         


        

Answer 1

I'm not entirely sure what you're after, but it's easy enough to find the rows which contain elements which don't share the type of the first row. For example:

>>> df = pd.DataFrame({"A": np.arange(500), "B": np.arange(500.0)})
>>> df.loc[321, "A"] = "Fred"
>>> df.loc[325, "B"] = True
>>> weird = (df.applymap(type) != df.iloc[0].apply(type)).any(axis=1)
>>> df[weird]
        A     B
321  Fred   321
325   325  True