Question

这应该很容易，但是我无法解决。我有一个带有lon和lat列的数据框，我想列出一个lon和lat值成对的列表。

数据框如下所示：

    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

我需要一个这样的列表：

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

Answer 1

尝试一下：

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

Answer 2

运行：

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

步骤：

df[['lat', 'lon']]-提取2列有趣的内容，
apply(tuple, axis=1)-将 tuple 函数应用于每一行（到目前为止，结果是系列），
tolist()-将此系列转换为“普通”列表。

Answer 3

您可以这样操作：

 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

我试图以一种易于理解的方式编写它（：

Answer 4

尝试：

df.apply(lambda row: pd.Series([(row['lat'], row['lon'])]), axis=1)[0].tolist()

结果：

[(40.722452000000004, -75.38665),
 (42.337773999999996, -77.317131),
 (44.168952000000004, -71.963701),
 (35.476832, -76.811605),
 (43.90508, -69.822825)]

从两个数据框列创建值对列表

4 个答案: