從 Dataframe 中提取多列並為不存在的列返回 NaN

Question

我正在嘗試從數據框中提取多列，如下所示。 我想通過調用它們的名稱來識別所需的列，並為數據框中不存在的列返回 NaN。

data_1 = {'host_identity_verified':['t','t','t','t','t','t','t','t','t','t'],
      'neighbourhood':['q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q', 'q'],

      'neighbourhood_cleansed':['Oostelijk Havengebied - Indische Buurt', 'Centrum-Oost', 'Centrum-West', 'Centrum-West', 'Centrum-West',
                                'Oostelijk Havengebied - Indische Buurt', 'Centrum-Oost', 'Centrum-West', 'Centrum-West', 'Centrum-West'],
     'neighbourhood_group_cleansed': ['NaN','NaN','NaN','NaN','NaN','NaN','NaN','NaN','NaN','NaN'],
      'latitude':[ 52.36575, 52.36509, 52.37297, 52.38761, 52.36719, 52.36575, 52.36509, 52.37297, 52.38761, 52.36719]}

df_1 = pd.DataFrame(data_1)

我知道這種獲取一列的方法：

x = df_1.get('neighbourhood_cleansed', pd.Series(index=df_1.index, name='neighbourhood_cleansed', dtype='object'))

但是我一次只能使用這種方法獲得一列。

我想做類似的事情：

columns_needed = [['host_identity_verified', 'neighbourhood', 'latitude', 'longitude', 'price']]

# x= some code to get me the columns above and return NaN for columns such as 'longitude' and 'price.

Answer 1

使用reindex function 將創建naan列並提取您需要的列：

df_1.reindex(['host_identity_verified', 'neighbourhood', 'latitude', 'longitude', 'price'], axis=1)