我想在我的主页上显示最新的6个帖子。我在使用Laravel和Javascript。但我以不同的方式获得布局。我怎样才能在这里展示这些东西。任何的想法。提前致谢。
<div class="row">
<div class="col-lg-4">
<h2>{{$article->title}}</h2>
{{ $article->created_at->toFormattedDateString() }}
<p>{{$article->body}} </p>
<p><a class="btn btn-primary" href="#" role="button">View details »</a></p>
</div>
<div class="col-lg-4">
<h2>{{$article->title}}</h2>
{{ $article->created_at->toFormattedDateString() }}
<p>{{$article->body}} </p>
<p><a class="btn btn-primary" href="#" role="button">View details »</a></p>
</div>
<div class="col-lg-4">
<h2>{{$article->title}}</h2>
{{ $article->created_at->toFormattedDateString() }}
<p>{{$article->body}}</p>
<p><a class="btn btn-primary" href="#" role="button">View details »</a></p>
</div>
</div>
@extends('master')
@section('content')
<div class="container">
@foreach ($article as $article)
@include('article.post')
@endforeach
</div>
@endsection
我希望在模式中显示类似的视图但我得到重复的数据。我怎么能纠正这个 View pic
答案 0 :(得分:0)
请尝试这些
$acticle->orderby('created_at', 'DESC')->take(6)->get()
由于
答案 1 :(得分:0)
如果表格中的字段ID为自动增量,请尝试使用
Traceback (most recent call last):
File "C:/Users/Slither/Documents/Scripts/lol.py", line 33, in <module>
classifier.train(input_fn=train_input_fn, steps=1)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\estimator.py", line 302, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\estimator.py", line 711, in _train_model
features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\estimator.py", line 694, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\canned\dnn.py", line 334, in _model_fn
config=config)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\canned\dnn.py", line 203, in _dnn_model_fn
logits=logits)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\canned\head.py", line 456, in create_estimator_spec
name='class_string_lookup')
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\ops\lookup_ops.py", line 1197, in index_to_string_table_from_tensor
vocabulary_list = ops.convert_to_tensor(vocabulary_list, dtypes.string)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 836, in convert_to_tensor
as_ref=False)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 926, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 229, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 208, in constant
value, dtype=dtype, shape=shape, verify_shape=verify_shape))
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 383, in make_tensor_proto
_AssertCompatible(values, dtype)
File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 303, in _AssertCompatible
(dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected string, got 0 of type 'int' instead.
Process finished with exit code 1