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...
>>>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,...
"15000"],["Halena","4/1/2014","12000"],],columns=["Name","DOB","Salary"],)print("Pandas DataFrame:\n\n",df,"\n")list_of_single_column=df["DOB"].tolist()print("the list of a single column from the dataframe\n",list_of_single_column,"\n",type(list_of_single_column),)...
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 ...
columns = df.columns.values.tolist() #列名 一、增加列和行 二、插入新增列、行 import pandas as pd df1 = pd.DataFrame([['Snow','M',22],['Tyrion','M',32],['Sansa','F',18],['Arya','F',14]], columns=['name','gender','age']) ...
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...
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。
>>>timeit(lambda:list(data_frame.columns.values))1.301724927000123 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 ...
It’s a multidimensional Python list containing DataFrame columns as child list elements. The orientation is a bit messed up since one child element doesn’t represent one DataFrame record. In practice, it’s not recommended to use this approach.Instead, you should convert a DataFrame to a Nump...
columns=columns_name[-2:]+columns_name[:-3]columns 输出: [4, 'mean', 0, 1, 2] 如你所见,第 4 列移动到第 1 列和第 1 列,这意味着移动到第 2 位置。这就是我们改变列顺序的方式。 现在我们使用reindex()函数对 python DataFrame 的列进行重新排序。你还可以使用列名列表并将该列表传递给reindex...