从两个dataframe列创建值对列表

Question

这应该很容易，但我就是做不出来。我有一个带有lon和lat列的数据框，我想列出lon和lat值成对的列表

数据帧如下所示：

    amenity                               name        lat        lon
0   school        George Bath Elementary School  40.722452 -75.386650
1   school        Dana L Lyon Elementary School  42.337774 -77.317131
2   school                  Bath Village School  44.168952 -71.963701
3   school                          Bath School  35.476832 -76.811605
4   school                          Hyde School  43.905080 -69.822825

我需要这样一份清单：

[(40.722452, -75.386650), (42.337774, -77.317131), (44.168952, -71.963701)...]

Answer 1

试试这个：

list(zip(df['lat'],df['lon']))

Answer 2

您可以这样做：

 import pandas as  pd

 #Reading your data
 #data -> Pandas dataframe
 data = pd.read_excel('yourFile.xlsx')

 # Gets the column info
 lat = data['lat']
 lon = data['lon']

 #Process it
 result = []
 for i in range(len(lat)):
     #Adding to result based on indexes
     result.append((lat[i], lon[i]))

 print result

我试着用一种容易理解的方式写它（：

Answer 3

运行：

df[['lat', 'lon']].apply(tuple, axis=1).tolist()

步骤：

• df[['lat', 'lon']]-取两列感兴趣的内容
• apply(tuple, axis=1)-将tuple函数应用于每一行（到目前为止 结果是一个系列）
• tolist()-将此系列转换为“普通”列表