访问和更改嵌套dict/list数据集Python 2.7+中的数据

Question

在访问和更改数据集中的一些值方面，我需要一些指导。我正在使用Strava API，所以它的自行车数据。我有一个由字典组成的列表，其中包含一个字符串作为关键字，还有一个列表作为值：

[{'ride_name_one':[1.3,7.5,8.2,4.8]},{'ride_name_2:'[4.7,6.8,8.9,4.3]}]

我必须将这些值中的每一个从m/s转换为km/h，并将其保存回该列表中。我该如何深入到这些列表中进行更新？我猜它大概是：

streamsTest[0]['ride_name_one']

除了不知道如何使"ride_name_one"动态？

或

有更好的地方进行转换吗？

到目前为止，这是我的代码：

athleteID = [xxxxxxxx]
activityIDs = [xxxxxxxxx,xxxxxxxxx]
def getSpeeds(cIDs,aIDs):
    print cIDs
    print aIDs
    streamsTest = []
    for i in aIDs:
        aID = i
        types = ['velocity_smooth']
        streams = client.get_activity_streams(aID, types=types, resolution='low')
        activity = client.get_activity(aID)
        if 'velocity_smooth' in streams.keys():
            actName = activity.name 
            raw = streams['velocity_smooth'].data
            streamsTest.append({actName:raw})   
        else: 
            print "velocity_smooth is not available"
    print streamsTest
    #[{'key':[1,2,3,4]},{'key:'[1,2,3,4]}]
    ### do m/s to km/h conversion on nested list data

getSpeeds(athleteID,activityIDs)

Answer 1

找到了一种方法，如果有更好的方法，请随时发表评论。

athleteID = [xxxxxxx]
activityIDs = [xxxxxxxxx,xxxxxxxxx]
def getSpeeds(cIDs,aIDs):
    streamsDicts = []
    streamsFinal = []
    for i in aIDs:
        aID = i
        types = ['velocity_smooth']
        streams = client.get_activity_streams(aID, types=types, resolution='low')
        activity = client.get_activity(aID) 
        if 'velocity_smooth' in streams.keys():
            actName = activity.name 
            raw = streams['velocity_smooth'].data
            streamsDicts.append({actName:raw[1:]})  
        else: 
            print "velocity_smooth is not available"
    for i in streamsDicts:
        for key, value in i.iteritems():
            value = [round((x * 3600) / 1000,2) for x in value]
            streamsFinal.append({key:value})
    print streamsFinal
getSpeeds(athleteID,activityIDs)