html5 - How can I make my radio buttons required -


इस सवाल का पहले से ही एक उत्तर है: < / P>

  • 2 जवाब

    मेरे पास दो रेडियो बटन हैं एक ही रेडियो समूह में एक प्रपत्र: 

      <लि>; इनपुट & lt; इनपुट नाम = "लिंग" प्रकार = "रेडियो" मान = "पुरुष" / & gt; & lt; लेबल वर्ग = "लेबल_ लिंग "आवश्यक & gt; नर & lt; / लेबल & gt; & lt; / li & gt; & Lt; li & gt; & lt; इनपुट नाम = "लिंग" प्रकार = "रेडियो" मान = "महिला" / & gt; & lt; लेबल वर्ग = "लेबल_ लिंग" आवश्यक & gt; महिला & lt; / लेबल & gt; & lt; / li & gt;   
     मैं इस रेडियो समूह को आवश्यक बनाना चाहता हूं, जैसा कि मैंने देखा है कि मैंने दोनों के लिए  आवश्यक  विशेषता का उपयोग किया है, लेकिन यह काम नहीं करता है।  
     पाठ या ईमेल के रूप में अन्य निविष्टियों के लिए,  आवश्यक  विशेषता ठीक काम करती है।  
     मैं अपने रेडियो बटनों को कैसे जरूरी कर सकता हूं?   <  इनपुट  तत्व में  आवश्यक  विशेषता को जोड़ा जाना चाहिए,  नहीं 
     
     
      & lt; li & gt; & lt; इनपुट नाम = "लिंग" प्रकार =    "रेडियो" मूल्य = "पुरुष" की आवश्यकता / & gt; & lt; लेबल वर्ग = "लेबल_गेंडर" & gt; नर & lt; / लेबल & gt; & lt; / li & gt; & Lt; li & gt; & lt; इनपुट नाम = "लिंग" प्रकार = "रेडियो" मान = "स्त्री" आवश्यक / & gt; & lt; लेबल वर्ग = "लेबल_गेंडर" & gt; महिला & lt; / लेबल & gt; & lt; / li & gt;

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