如果我手动输入数据，当我点击谷歌地图标记时，数据会随心所欲地出现在谷歌地图的框中。
这部分都很好。
import gmaps
gmaps.configure(api_key='AI...')
file_name = [
{'name': 'House A', 'location': (42.162913, 139.487541), 'price': 250},
{'name': 'House B', 'location': (42.171569, 139.514020), 'price': 500},
]
property_locations = [house['location'] for house in file_name]
info_box_template = """
<dl>
<dt>Property Name</dt><dd>{name}</dd>
<dt>Priced from $ </dt><dd>{price}</dd>
</dl>
"""
house_info = [info_box_template.format(**house) for house in file_name]
marker_layer = gmaps.marker_layer(property_locations, info_box_content=house_info)
loc_map = gmaps.figure()
loc_map.add_layer(marker_layer)
loc_map
由于有更多的数据，我想使用上面相同格式的.csv，但我无法使代码正常工作。我怀疑这是因为当我将.csv中的纬度和经度单元格连接到一个新列中以制作一个具有正确经度/经度格式的单元格时，dtype 是"对象"，因此收到错误消息。
import gmaps
gmaps.configure(api_key='AI...')
file_name = pd.read_csv('./house_data.csv')
file_name_1 = pd.DataFrame(file_name, columns= ['name', 'coordinates', 'price'])
property_locations = [house[['coordinates']] for house in file_name_1]
info_box_template = """
<dl>
<dt>Property Name</dt><dd>{name}</dd>
<dt>Priced from $ </dt><dd>{price}</dd>
</dl>
"""
house_info = [info_box_template.format(**house) for house in file_name_1]
marker_layer = gmaps.marker_layer(property_locations, info_box_content=house_info)
loc_map = gmaps.figure()
loc_map.add_layer(marker_layer)
loc_map
TypeError Traceback (most recent call last)
<ipython-input-46-4965661a0fd7> in <module>
3 file_name = pd.read_csv('./house_data.csv')
4 file_name_1 = pd.DataFrame(file_name, columns= ['name','coordinates', 'price'])
----> 5 property_locations = [house[['coordinates']] for house in file_name_1]
6 info_box_template = """
7 <dl>
<ipython-input-46-4965661a0fd7> in <listcomp>(.0)
3 file_name = pd.read_csv('./house_data.csv')
4 file_name_1 = pd.DataFrame(file_name, columns= ['name','coordinates', 'price'])
----> 5 property_locations = [house[['coordinates']] for house in file_name_1]
6 info_box_template = """
7 <dl>
TypeError: string indices must be integers
有没有办法转动位置数据，即。"坐标"成整数？
或者有人可以提出替代方案吗？
您可以在创建数据帧后连接纬度/经度。下面是一个示例：
In [175]: import pandas as pd
In [176]: df = pd.read_csv(r"test.csv")
#null values for location series
In [202]: df
Out[202]:
name location lat long price
0 house A NaN 42.1629 139.4875 250
1 house B NaN 42.1716 139.5140 350
现在连接经度/经度并将值分配给location：
In [203]: df.location = tuple(zip(df.lat, df.long))
In [204]: df
Out[204]:
name location lat long price
0 house A (42.162913, 139.487541) 42.1629 139.4875 250
1 house B (42.171569, 139.51402) 42.1716 139.5140 350
由于gmaps.marker_layer接受元组列表，因此您可以像这样获得location系列：
In [199]: property_locations = df['location'].tolist()
In [200]: property_locations
Out[200]: [(42.162913, 139.487541), (42.171569, 139.51402)]
现在，您可以使用property_locations作为gmaps.marker_layer的参数。
此外，info_box_template.format()需要字典映射。因此，我们必须将数据帧df转换为字典的第一个列表：
In [19]: df_dict = df.to_dict('records')
In [20]: df_dict
Out[20]:
[{'lat': 42.162913,
'location': (42.162913, 139.487541),
'long': 139.487541,
'name': 'house A',
'price': 250},
{'lat': 42.171569,
'location': (42.171569, 139.51402),
'long': 139.51402,
'name': 'house B',
'price': 350}]
现在，使用如下所示df_dict获取每栋房屋的房屋信息：
In [21]: house_info = [info_box_template.format(**house) for house in df_dict]
In [22]: house_info
Out[22]:
['n<dl>n<dt>Property Name</dt><dd>house A</dd>n<dt>Priced from $ </dt><dd>250</dd>n</dl>n',
'n<dl>n<dt>Property Name</dt><dd>house B</dd>n<dt>Priced from $ </dt><dd>350</dd>n</dl>n']