如何在写入CSV文件时从列表中选择适当的数据？

Question

我正在编写一个脚本来对Meraki API进行API调用，并需要将某些值写入CSV文件。根据所附的屏幕截图，我可以从列表中选择某些信息，但与“timeSeries”无关，因为它似乎是一个不同的子部分

latency_measure = json.loads(session.get('https://api.meraki.com/api/v0/organizations/' + ORG_ID + '/uplinksLossAndLatency', headers=headers).text)

def latency_measure_info(latency_measure):
    csv_file1 = open(name + ' appliances -' + str(today) + '.csv', 'w', encoding='utf-8')
    fieldnames = ['Network', 'Serial', 'Uplink', 'Destination IP', 'Test 1 Date/Time', 'Test 1 Loss Percent', 'Test 1 Latency', 'Test 2 Date/Time', 'Test 2 Loss Percent', 'Test 2 Latency', 'Test 3 Date/Time', 'Test 3 Loss Percent', 'Test 3 Latency', 'Test 4 Date/Time', 'Test 4 Loss Percent', 'Test 4 Latency']
    writer = csv.DictWriter(csv_file1, fieldnames=fieldnames, restval='')
    writer.writeheader()
    for latency in latency_measure: 
        if (network_id in network_id_list): 
            network_name = get_network_name(latency['networkId'], networks)

writer.writerow({'Network': network_name, 'Serial': latency['serial'], 'Uplink': latency['uplink'], 'Destination IP': latency['ip'], 'Test 1 Loss Percent': latency['timeSeries'['lossPercent']], 'Test 1 Latency': latency['latencyMs'], 'Test 2 Date/Time': latency['ts'], 'Test 2 Loss Percent': latency['lossPercent'], 'Test 2 Latency': latency['latencyMs'], 'Test 3 Date/Time': latency['ts'], 'Test 3 Loss Percent': latency['lossPercent'], 'Test 3 Latency': latency['latencyMs'], 'Test 4 Date/Time': latency['ts'], 'Test 4 Loss Percent': latency['lossPercent'], 'Test 4 Latency': latency['latencyMS']})

csv_file1.close()

在将行写入CSV文件时，我能够选择网络、串行、上行链路和目标IP数据，但一旦我到达timeSeries，它将不会提取该信息，因为我不知道如何指定它

Answer 1

执行json.loads(..)之后，“timeSeries”将是list的dict个

print(type(latency["timeSeries"]))      
# <class 'list'>

print(type(latency["timeSeries"][0]))
# <class 'dict'>

print(type(latency["timeSeries"][1]))
# <class 'dict'>

...

首先通过索引访问list的每个元素，然后使用键访问dict的键值对

latency["timeSeries"][0]["ts"]
latency["timeSeries"][0]["lossPercent"]
latency["timeSeries"][0]["latencyMs"]

# OR

timeSeries0 = latency["timeSeries"][0]
timeSeries0["ts"]
timeSeries0["lossPercent"]
timeSeries0["latencyMs"]

您可以逐个硬编码所有索引（[0]，[1]，…），如果您事先知道它们有多少个，也可以循环timeSeries列表的所有元素并构建要写入的dict值