how to remove the row in pandas code example

Example 1: python pandas drop

df = pd.DataFrame(np.arange(12).reshape(3, 4),
...                   columns=['A', 'B', 'C', 'D'])
>>> df
   A  B   C   D
0  0  1   2   3
1  4  5   6   7
2  8  9  10  11

Drop columns
>>> df.drop(['B', 'C'], axis=1)
   A   D
0  0   3
1  4   7
2  8  11
>>> df.drop(columns=['B', 'C'])
   A   D
0  0   3
1  4   7
2  8  11

Example 2: delete a row in pandas dataframe

df.drop(df.index[2])

Example 3: 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 4: Returns a new DataFrame that drops the specified column

# Returns a new DataFrame that drops the specified column

df.drop('age').collect()
# [Row(name='Alice'), Row(name='Bob')]

df.drop(df.age).collect()
# [Row(name='Alice'), Row(name='Bob')]

df.join(df2, df.name == df2.name, 'inner').drop(df.name).collect()
# [Row(age=5, height=85, name='Bob')]

df.join(df2, df.name == df2.name, 'inner').drop(df2.name).collect()
# [Row(age=5, name='Bob', height=85)]

df.join(df2, 'name', 'inner').drop('age', 'height').collect()
# [Row(name='Bob')]