df= pd.DataFrame({'a': range(10, 20), 'b': range(20, 30)}) df
1. list down style
[column for column in df]
[a,b]
2. columns property
columns property returns Index, columns.values property returns numpy.ndarray, may then be tolist (), or a list (ndarray) is converted to list
print(type(df.columns)) <class 'pandas.core.indexes.base.Index'> print(type(df.columns.values)) <class 'numpy.ndarray'> print(type(df.columns.tolist()),":"+"\n",df.columns.tolist()) <class 'list'> : ['a', 'b'] print(type(df.columns.values.tolist()),":"+"\n",df.columns.values.tolist()) <class 'list'> : ['a', 'b']
3. Direct use list, returns a list containing a listing of columnsd
print(list(df))
['a', 'b']