python - 如果满足特定条件，则在 panda 数据框中添加列值

Question

我有两个列表:

    required=["api.gotinder.com","data.gotinder.com"]
    not_required=["graph.facebook.com","launches.appsflyer.com"]

如果requested_server_name列中的值在必需列表中，则应将其标记为必需，如果requested_server_name列中的值在not_required列表中，则应将其标记为Not_Required

我现在在做什么:

for j in required:
    conditions = [
        (frame['requested_server_name'] == j)
        ]
    values = ["Required"]
    frame['label'] = np.select(conditions, values)

for k in not_required:
    conditions = [
        (frame['requested_server_name'] == k)
        ]
    values = ["Not_Required"]
    frame['label'] = np.select(conditions, values)

我做错了什么？它仅填充 launch.appsflyer.com 的标签。

Answer 1

创建一个dict，然后反转键和值以创建映射字典。最后使用 replace 应用映射:

d = {'required': ["api.gotinder.com", "data.gotinder.com"],
     'not_required': ["graph.facebook.com", "launches.appsflyer.com"]}

MAP = {v: k for k, l in d.items() for v in l}

frame['label'] = frame['requested_server_name'].replace(MAP)