javascript - Angularjs: ng-class not picking up class -


यहां कोड है 

  & lt; body ng-app = "app" & gt; & Lt; div ng-controller = "MainCtrl" & gt; & LT; ul & gt; & Lt; li ng- दोहराने = "श्रेणी में एन" वर्ग = "परीक्षण" एनजी-वर्ग = "{{(इंडेक्स & lt; 5) & amp; amp; amp; & amp; दृश्यमान; 'अदृश्य'}}" शैली = "प्रदर्शन : inline; "& gt; & Lt; a href = "#" & gt; {{n.number}} & lt; / a & gt; & Lt; / li & gt; & Lt; / ul & gt; & Lt; / div & gt; & Lt; / body & gt;   
 कोणीय कोड  
  var ऐप = कोणीय। मॉड्यूल ('ऐप', []); (संख्या: "2"}, {संख्या: "3"}, {संख्या: "4", "संख्या" }, {संख्या: "5"}, {नंबर: "6"}, {संख्या: "7"}, {संख्या: "8"}]}});   
 मैं दृश्य या अदृश्य को कक्षा में जोड़ा नहीं देख रहा हूँ, मुझे पता है कि मुद्दों क्या हैं   
 
 
 आपको ng-class ( {{... ...}}  में स्ट्रिंग प्रक्षेप का उपयोग नहीं करना चाहिए;  
 यह वाक्यविन्यास कार्य करना चाहिए:  
  एनजी-वर्ग = "{दृश्य: ($ इंडेक्स & lt; 5), अदृश्य: ($ इंडेक्स & gt; = 5)}"   
 लेकिन एक बेहतर दृष्टिकोण (आईएमओ) उस तत्व की डिफ़ॉल्ट शैली के रूप में  अदृश्य  वर्ग से शैलियों को सेट कर दिया जाएगा और केवल  दृश्यमान  वर्ग को अधिलेखित करता है।  
  ng- क्लास = "{दृश्यमान: $ इंडेक्स & lt; 5}"   
 यह आपको क्लीनर दिखने वाला कोड देगा।

Comments

Post a Comment

Popular posts from this blog

python - how we can use ajax() in views.py in django? -

I have a little code here. Could you please tell me what this code really does? please. Here in the AJAX call: $ .ajax ({url: "{% url} upload_document '%}", type: "POST", data : {Csrfmiddletoken: document.getElementsByName ('csrfmiddletoken') [0] Price, Title: document.getElementById ('title'). Value, // document: document: document.getElementById ('document'),}, datatype: "Jason", success: function (feedback) {if (feedback == "true") {// success} other {// attachment errors}}}); How AJAX works in the Django and how we can see the AJAX request. Here is the idea of ​​my thoughts def upload_document (requested): Print request. POTT print request FILES if request.is_ajax (): If request.method == 'POST': form = UploadForm (request.POST, request.FILES, user = request.user) if form.is_valid (): Form.save () return HTTPPCS (SimpleJason Dumps ('True'), Mime Type = 'App / Jason') Other:...
Read more

matlab - Using loops to get multiple values into a cell -

I have 31 topics (S1, S2, S3, S4, etc.) 3 images in each topic, opposite 1 IMG, Contrast 2 IMG and Contrast 3 Are IMG I p In a NX1 cell named P, I would like to use a loop to get all the paths of contrasts from all the subjects: data / S1 / contrast1.img / S1 / contrast2.img data / S1 / contrast3.img data / s2 / contrast1.img data / S2 / contrast2.img Data / S2 / contrast3.img ... Data / S31 / contast3.img This is what I've tried: A = {'S1', 'S2', 'S3', ..., 'S31'}; % All topics C = {'contrast1.img', 'contrast2.img', 'contrast3.img'}; For each = P = cell (31 * 3,1) for each topic, the required contrast images: Length = A for Jammu = 1: Length (C) P {j} = spm_select ('FPList', Fullfile (data_path, q {i}) sprint ('% s', cell2mat (c))); % Of each topic is to select three contrast images, it works in my script, it is probably not 100% correct, because I had to simplify this example. End of ...
Read more

python - Sequence Pattern recognition with Pybrain -

Image
I am constantly trying to use recurrent neural networks to classify a series of data. To be more specific, I have a sequence of sensor reading (which is continuous over time), I have to learn an algorithm which can detect the state related to this pattern, given the readings change. Example: Time step_1: 1.4 Time step_2: 1 Time step_3: 0.8 State = New Sequence: Time Phase 1: 0.4 Time Phase 2: 0.3 Time Phase 3: 0.1 State = Sitting I actually have 12 censors, I'm just showing a sequence of numbers for convenience. (Numbers are not real, I'm just trying to fulfill this idea)! I am trying to make my network with PyBrain RNN, however, I can not get a Data Set Container that can detect it, like information I tried to use sequential data But after some testing I came to know that this number is the next element in the sequence of numbers. Here's how I prepare my dataset: self.alldata = SequentialDataSet (ds.num_features, 1) # Now add samples to the dat...
Read more