Filtering string/float/integer values in pandas dataframe columns

Question

How can I filter only string values/ integer/ float values in one column (SIC) in a pandas data frame like below?

                         SIC
1                      246804
2                      135272
3                      898.01
4                     3453.33
5                       shine  
6                        add
7                         522
8                         Nan
9                      string
10                      29.11
11                        20    

Answer 1

You can use the outputs from pd.to_numeric and boolean indexing.

To get only the strings use:

df[pd.to_numeric(df.SIC, errors='coerce').isnull()]

Output:

      SIC
5   shine
6     add
8     Nan
9  string

To get only the numbers use:

df[pd.to_numeric(df.SIC, errors='coerce').notnull()]

Output:

        SIC
1    246804
2    135272
3    898.01
4   3453.33
7       522
10    29.11
11       20