我想知道如何从单个文件夹中读取多个 json 文件(不指定文件名,只是它们是 json 文件)。 另外,可以将它们变成 pandas DataFrame 吗? 你能给我一个基本的例子吗? 原文由 donpresente 发布,翻译遵循 CC BY-SA 4.0 许可协议
一种选择是使用 os.listdir 列出目录中的所有文件,然后仅查找以“.json”结尾的文件: import os, json import pandas as pd path_to_json = 'somedir/' json_files = [pos_json for pos_json in os.listdir(path_to_json) if pos_json.endswith('.json')] print(json_files) # for me this prints ['foo.json'] 现在您可以使用 pandas DataFrame.from_dict 将 json(此时是 python 字典)读入 pandas 数据框: montreal_json = pd.DataFrame.from_dict(many_jsons[0]) print montreal_json['features'][0]['geometry'] {u'type': u'Point', u'coordinates': [-73.6051013, 45.5115944]} 在这种情况下,我将一些 json 附加到列表 many_jsons 。我列表中的第一个 json 实际上是一个 geojson ,其中包含蒙特利尔的一些地理数据。我已经熟悉内容,所以我打印出“几何”,它给出了蒙特利尔的经度/纬度。 以下代码总结了上面的所有内容: import os, json import pandas as pd # this finds our json files path_to_json = 'json/' json_files = [pos_json for pos_json in os.listdir(path_to_json) if pos_json.endswith('.json')] # here I define my pandas Dataframe with the columns I want to get from the json jsons_data = pd.DataFrame(columns=['country', 'city', 'long/lat']) # we need both the json and an index number so use enumerate() for index, js in enumerate(json_files): with open(os.path.join(path_to_json, js)) as json_file: json_text = json.load(json_file) # here you need to know the layout of your json and each json has to have # the same structure (obviously not the structure I have here) country = json_text['features'][0]['properties']['country'] city = json_text['features'][0]['properties']['name'] lonlat = json_text['features'][0]['geometry']['coordinates'] # here I push a list of data into a pandas DataFrame at row given by 'index' jsons_data.loc[index] = [country, city, lonlat] # now that we have the pertinent json data in our DataFrame let's look at it print(jsons_data) 对我来说这打印: country city long/lat 0 Canada Montreal city [-73.6051013, 45.5115944] 1 Canada Toronto [-79.3849008, 43.6529206] 知道对于此代码我在目录名称“json”中有两个 geojson 可能会有所帮助。每个 json 具有以下结构: {"features": [{"properties": {"osm_key":"boundary","extent": [-73.9729016,45.7047897,-73.4734865,45.4100756], "name":"Montreal city","state":"Quebec","osm_id":1634158, "osm_type":"R","osm_value":"administrative","country":"Canada"}, "type":"Feature","geometry": {"type":"Point","coordinates": [-73.6051013,45.5115944]}}], "type":"FeatureCollection"}