React.JS 中两个日期之间的天数差使用 moment

如何解决React.JS 中两个日期之间的天数差使用 moment

我做了一个函数来计算两个日期之间的差异，但我不知道如何使用输入来获取（？）数据。我还尝试了 return diffInDays; 而不是使用 this.setState({ diffInDays: diffInDays })。我尝试了很多组合，但没有一个给我正确的结果。

 library(dplyr)
 library(caret)
 library(xgboost)

 set.seed(777)
 dat = data.frame(F1 = sample(letters[1:4],100,replace = TRUE),F2 = sample(letters[5:8],X1 = rnorm(100,5,2),X2 = rnorm(100,10,id = 1:100,stringsAsFactors = TRUE)

 # 1) create 70/30 split train/test#
 indexes = createDataPartition(dat$id,times = 1,p = 0.7,list = FALSE)
 dat.train = dat[indexes,]
 dat.test = dat[-indexes,]

 # 2) create normalized (0,1) x variables#
 dat.train.trnsform = dat.train
 dat.test.trnsform = dat.test

 preprocessXs.train = preProcess(dat.train.trnsform[,3:4],method=c("range"))
 preprocessXs.test = preProcess(dat.test.trnsform[,method=c("range"))

 dat.train.trnsform[,3:4] = predict(preprocessXs.train,dat.train.trnsform[,3:4])
 dat.test.trnsform[,3:4] = predict(preprocessXs.test,dat.test.trnsform[,3:4])

 # 3) create y variable which is average of X1 and X2#
 dat.train.trnsform$Y = rowMeans(dat.train.trnsform[,3:4])
 dat.test.trnsform$Y = rowMeans(dat.test.trnsform[,3:4])

 # 4) classify y_bucket variable based on distribution > M + 1sigma = "High" < M - 1sigma = "low" else "core"#
 upper.thresh.train = mean(dat.train.trnsform$Y) + sd(dat.train.trnsform$Y)
 upper.thresh.test = mean(dat.test.trnsform$Y) + sd(dat.test.trnsform$Y)
 lower.thresh.train = mean(dat.train.trnsform$Y) - sd(dat.train.trnsform$Y)
 lower.thresh.test = mean(dat.test.trnsform$Y) - sd(dat.test.trnsform$Y)

 dat.train.trnsform$Y_bucket = NA
 dat.train.trnsform$Y_bucket[which(dat.train.trnsform$Y > upper.thresh.train)] = "high"
 dat.train.trnsform$Y_bucket[which(dat.train.trnsform$Y < lower.thresh.train)] = "low"
 dat.train.trnsform$Y_bucket[is.na(dat.train.trnsform$Y_bucket)] = "core"

 dat.test.trnsform$Y_bucket = NA
 dat.test.trnsform$Y_bucket[which(dat.test.trnsform$Y > upper.thresh.test)] = "high"
 dat.test.trnsform$Y_bucket[which(dat.test.trnsform$Y < lower.thresh.test)] = "low"
 dat.test.trnsform$Y_bucket[is.na(dat.test.trnsform$Y_bucket)] = "core"


 # 5) set up caret to perform 10-fold cross validation repeated 3 times 

 train.control <- trainControl(method = "repeatedcv",number = 10,repeats = 3)

 # 6) fit model
 caret.cv <- train(Y_bucket ~ F1 + F2,data = dat.train.trnsform,method = "xgbTree",trControl = train.control,na.action = na.omit)

 # 7) get the confusion matrix#
 preds <- predict(caret.cv,dat.test.trnsform)
 confusion_ma = confusionMatrix(preds,as.factor(dat.test.trnsform$Y_bucket))

这些是我创建的输入：

• 这是一个开始

value=data.MeetingDate;

• 这个是为了结束

calculate(dateFrom,dateTo) {
    if (!dateFrom || !dateTo) {
       return null;
    }
    const arrival = moment(dateFrom);
    const departure = moment(dateTo);
    if (arrival.isAfter(departure)) {
       return null;
    }
      const diffInDays = departure
      .endOf('day')
      .diff(arrival.startOf('day'),'days');
    
      return diffInDays;
}

• 这是我想看到的不同之处

<div className="form-group">
  <label htmlFor="dateFrom">Date From: </label>
  <input
    type="date"
    className="form-control"
    id="dateFrom"
    onChange={this.onChangeDateFrom}
    value={this.state.dateFrom}
    name="dateFrom"
   />
</div>

选择日期工作正常。他们也保存在MongoDB中，只是天差出现问题。

解决方法

你应该使用 departure.diff(arrival) 并且只获得日差 departure.diff(arrival,'days')