如何生成包括NaN在内的随机值？

Question

我想在带有NaN的数据框中生成包括np.random.randn的随机浮点数

Answer 1

您可以生成一个随机浮点数组，然后使用np.choice和p创建一个掩码，以允许您设置要包含的NaN数的权重。

类似的东西：

import numpy as np
a = np.random.randn(20)
mask = np.random.choice([1, 0], a.shape, p=[.1, .9]).astype(bool)
a[mask] = np.nan

结果：

array([ 1.2769248 ,  0.5949608 , -1.38006737,  0.3582266 , -1.852884  ,
        0.81121663, -1.45830948,  0.03117856,  0.54509948,  1.22019729,
        1.71643753,         nan, -0.32470862, -0.77604474,  0.76698089,
       -0.47863251,         nan, -0.33308071, -0.32026717,  1.8493752 ])

Answer 2

如果您正在使用DataFrame，则可以使用 var channelData = context.Activity.GetChannelData<TeamsChannelData>(); var message = Activity.CreateMessageActivity(); message.Text = "Hello World"; var conversationParameters = new ConversationParameters { IsGroup = true, ChannelData = new TeamsChannelData { Channel = new ChannelInfo(channelData.Channel.Id), }, Activity = (Activity) message }; var connectorClient = new ConnectorClient(new Uri(activity.ServiceUrl)); var response = await connectorClient.Conversations.CreateConversationAsync(conversationParameters); 。

    MicrosoftAppCredentials.TrustServiceUrl(serviceUrl, DateTime.MaxValue);
    var connectorClient = new ConnectorClient(new Uri(serviceUrl));