Answers for "if value in column then pandas"

make a condition statement on column pandas

df['color'] = ['red' if x == 'Z' else 'green' for x in df['Set']]

pandas check if value in column is in a list

df_new[df_new['l_ext'].isin([31, 22, 30, 25, 64])]

make a condition statement on column pandas

df.loc[df['column name'] condition, 'new column name'] = 'value if condition is met'

check if value is in series pandas

In [21]: s.unique()
Out[21]: array(['a', 'b', 'c'], dtype=object)

In [22]: 'a' in s.unique()
Out[22]: True