pandas delete rows based on column code example

Example 1: delete row from dataframe python

df.drop(df.index[-2])
df.drop(df.index[[3, 4]])
df.drop(['row_1', 'row_2'])
df.drop('column_1', axis=1)
df[df.name != 'cell']

Example 2: 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       |
+---+--------------------------+----------------------------------+-----------+