PYTHON

removing rows with specific column values from a dataframe

+---+--------------------------+----------------------------------+-----------+
| 1 | Sign up date | no_stores | no_unin_app     no_stores_recei  | ed_order  |
+---+--------------------------+----------------------------------+-----------+
| 2 | 2020-04-01   |      1    |             0                    |   0       |
| 3 | 2020-04-04   |     11    |             3                    |   6       |
| 4 | 2020-04-13   |      8    |             1                    |   4       |
+---+--------------------------+----------------------------------+-----------+

drop values based on type pandas

df[df.columns[n]] = df[df.columns[n]].apply(pd.to_numeric, errors='coerce').fillna(0).astype(float).dropna()