>>>timeit(lambda:list(data_frame.columns.values))1.301724927000123 但是,如果使用内置DataFrame.columns.values.tolist()方法,则可以实现最佳运行时间。 >>>data_frame.columns.values.tolist()['name','population','state']>>>timeit(lambda: data_frame.columns.values.tolist())0.6860591469999235 如我们所见,...
print(list_columns) 方法三:使用itertuples()或iterrows()方法如果你需要更多的灵活性,可以使用itertuples()或iterrows()方法逐行迭代DataFrame,并手动将数据转换为列表。例如: import pandas as pd df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) list_column = [row.A for index, row...
"Salary": ["1000","12000","36000","15000","12000"],}df=pd.DataFrame(data, columns=["Name","DOB","Salary"])# Convert the 'Salary' column to a list using .valuessalary_list=df["Salary"].values.tolist()
1.使用 tolist() 方法将 Dataframe 列转换为列表 Pandas DataFrame 中的一列就是一个 PandasSeries。...
pd.DataFrame() is a class of Python two-dimensional data structures used for data analysis and manipulation. We used it to read positon_salaries and to store the data frame in df. In the pandas data frame, we can get columns of the data frame using the data retrieval technique that we ...
classpandas.DataFrame(data=None,index=None,columns=None,dtype=None,copy=None)[source]二维、大小可变...
DataFrame(data, columns=["Name", "DOB", "Salary"]) We’ll explore four different methods to perform this conversion: using the tolist() method, the list() function, the .values property, and list comprehension. Each method has its advantages, so let’s dive in. Use the tolist() ...
import pandas as pd df=pd.DataFrame([ ['James', '1/1/2014', '1000'], ['Michelina', '2/1/2014', '12000'], ['Marc', '3/1/2014', '36000'], ['Bob', '4/1/2014', '15000'], ['Halena', '4/1/2014', '12000'] ], columns=['Name', 'DOB','Salary']) df['DOB'].to...
对于DataFrame,.tolist()方法默认会将每一列转换为一个列表,而不是整个DataFrame。如果你想要将整个DataFrame转换为一个二维列表(即列表的列表),你可能需要按列或行迭代并收集结果: 按列转换为list(这是.tolist()的默认行为): python # 将每一列转换为list df_columns_list = df.tolist() # 注意:这实际...
但是,如果使用內建DataFrame.columns.values.tolist()方法,則可以實現最佳執行時間。 >>>data_frame.columns.values.tolist()['name','population','state']>>>timeit(lambda:data_frame.columns.values.tolist())0.6860591469999235 如我們所見,這種方法的效能比直接在DataFrame物件上進行迭代要好十倍。大多...