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Ember.js句柄if,else语句(Ember.js handlebars if, else statement)

我希望有人能够解释我在这里做错了什么。 我使用Ember.js与句柄模板,我已经尝试了很多方式来获得句柄#如果别人为我工作,但它总是返回两个内容的if和else ..这是我目前使用的代码。

App.js:

App = Ember.Application.create({
  selectedView: "Home",
  IsHome: function() {
    this.get('selectedView') === 'Home'
}.property('selectedView')

});

index.html头部包含:

<script type="text/x-handlebars" data-template-name="home-view">
      Hello, This is the home view.
</script>
<script type="text/x-handlebars" data-template-name="edit-account">
      Hello, This is the account edit view.
</script>

并在体内:

<script type="text/x-handlebars">
{{#if App.IsHome}}
   {{view HomeView}}
{{else}}
  {{view editAccountView}}
{{/if}}
</script>

这最终显示了页面正文中的两个视图。 任何建议表示赞赏,

谢谢史蒂夫


I'm hoping someone can explain what I'm doing wrong here. I'm using Ember.js with handlebars templates, I've tried a number of ways to get handlebars #if else working for me but it always returns both the contents of if and else.. Here's the code I'm currently using.

App.js:

App = Ember.Application.create({
  selectedView: "Home",
  IsHome: function() {
    this.get('selectedView') === 'Home'
}.property('selectedView')

});

index.html head contains:

<script type="text/x-handlebars" data-template-name="home-view">
      Hello, This is the home view.
</script>
<script type="text/x-handlebars" data-template-name="edit-account">
      Hello, This is the account edit view.
</script>

and in the body:

<script type="text/x-handlebars">
{{#if App.IsHome}}
   {{view HomeView}}
{{else}}
  {{view editAccountView}}
{{/if}}
</script>

This ends up showing both views in the body of the page. Any advice is appreciated,

thanks Steve


原文:https://stackoverflow.com/questions/11385326
更新时间:2023-04-06 22:04

最满意答案

选项1: scale_fill_gradientn

ggplot() + 
  geom_tile(data = idw.output, alpha = 0.8, aes(x = longitud, y = latitud, fill = RGlobal)) +
  scale_fill_gradientn(colours = paleta) +
  coord_map(xlim = c(-1.7, -1), ylim = c(37.7,38)) +
  ggtitle("Previsión UVI") + xlab(" ") + ylab(" ")

在这里输入图像描述

选项2: scale_fill_manual

首先转换为一个因素:

idw.output$RGlobal_f <- cut(idw.output$RGlobal, breaks = length(paleta))
ggplot() + geom_tile(data = idw.output, alpha = 0.8, aes(x = longitud, y = latitud, fill = RGlobal_f)) +
  scale_fill_manual(values = paleta) +
  coord_map(xlim = c(-1.7, -1),ylim = c(37.7,38)) +
  ggtitle("Previsión UVI") + xlab(" ") + ylab(" ")

查看如何提供其他标签。

在这里输入图像描述

我绝对更喜欢选项1!


Option 1: scale_fill_gradientn

ggplot() + 
  geom_tile(data = idw.output, alpha = 0.8, aes(x = longitud, y = latitud, fill = RGlobal)) +
  scale_fill_gradientn(colours = paleta) +
  coord_map(xlim = c(-1.7, -1), ylim = c(37.7,38)) +
  ggtitle("Previsión UVI") + xlab(" ") + ylab(" ")

enter image description here

Option 2: scale_fill_manual

Convert to a factor first:

idw.output$RGlobal_f <- cut(idw.output$RGlobal, breaks = length(paleta))
ggplot() + geom_tile(data = idw.output, alpha = 0.8, aes(x = longitud, y = latitud, fill = RGlobal_f)) +
  scale_fill_manual(values = paleta) +
  coord_map(xlim = c(-1.7, -1),ylim = c(37.7,38)) +
  ggtitle("Previsión UVI") + xlab(" ") + ylab(" ")

See ?cut on how to provide other labels.

enter image description here

I definitely prefer option 1!

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