python: remove all rows in pandas dataframe that contain a string

Question

I\'ve got a pandas dataframe called data and I want to remove all rows that contain a string in any column. For example, below we see the \'gdp\' column has a string at index 3,

Answer 1

You can take the transpose, call ```convert_objects``, which works columns-wise, and then compare the data types to get a boolean key like this:

df[df.T.convert_objects().dtypes != object]