I am trying to build using 'ng build --prod'. but I am getting an error like

Property pipe doesn't exist on type any[].

Component code:

search,angular"/>
	














    

		

        

            
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首页  > 解决方案 > 任何 [] 类型上不存在属性“管道”| 观察

I am trying to build using 'ng build --prod'. but I am getting an error like 




  
Property pipe doesn't exist on type any[].





Component code:



search












angular - 任何 [] 类型上不存在属性“管道”| 观察

I am trying to build using 'ng build --prod'. but I am getting an error like 




  
Property pipe doesn't exist on type any[].





Component code:



search





问题描述



I am trying to build using 'ng build --prod'. but I am getting an error like 




  
Property pipe doesn't exist on type any[].





Component code:



search = (text$: Observable<string>) =>

text$.pipe(
  debounceTime(300),
  distinctUntilChanged(),
  tap(() => this.searching = true),
  switchMap(term => term.length < 2 ? []:
    this._service.search(term).pipe(
      tap(() => this.searchFailed = false),
      catchError(() => {
        this.searchFailed = true;
       // return of([]);
        return [];
      }))
  ),
  tap(() => this.searching = false)
)




view code:



<input id="typeahead-http" type="text" class="form-control" placeholder="Enter Product Name" 
 #input
(selectItem)="selectedItem($event,input)"
[class.is-invalid]="searchFailed"
[(ngModel)]="model" 
[ngbTypeahead]="search"
[inputFormatter]="formatter"
[resultFormatter]="formatter"  />
<span *ngIf="searching">searching...</span>
<div class="invalid-feedback" *ngIf="searchFailed">Sorry, this product could not be loaded.</div>










Here is another solution (Just change 'inserted' to '', for an empty string. If using numbers use np.nan):



pd.DataFrame(np.insert(df.values, 0, values=['inserted'], axis=0)).rename(columns ={0:'col1'})

    col1
    0   inserted
    1   how
    2   to
    3   have
    4   an
    5   empty
    6   first
    7   row




You can set where (which row) you want the value to be inserted into:



pd.DataFrame(np.insert(df.values, 5, values=['inserted'], axis=0)).rename(columns ={0:'col1'})
col1
0   how
1   to
2   have
3   an
4   empty
5   inserted
6   first
7   row



标签： angular


解决方案





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