How to Remove Rows from Pandas Data Frame that Contains any String in a Particular Column

Question

I have CSV data in the following format:

+-------------+-------------+-------+
|  Location   | Num of Reps | Sales |
+-------------+-------------+-------+
| 7589         


        

Answer 1

You can use pd.to_numeric to coerce non numeric values to nan and then filter based on if the Location is nan:

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

#Location  Num of Reps  Sales
#0  75894            3     12
#2  75286            7     24
#4  27659            3     17