Question

我正在研究自动填充应用程序

<form novalidate [formGroup] ="formG">
  <input type="text" placeholder="enter"
         formGroupName="formCont" class="searchBox"
         (click)="showDrop()" id="search"> 
  <input type="text">
</form>
<div class="seracDropDown" *ngIf = "showDropDown"></div>

，代码部分是：

import { Component, HostListener } from '@angular/core';
import { FormGroup, FormControl } from '@angular/forms';

@Component({
selector : "app-root",
  templateUrl : './app.component.html',
  styleUrls : ['./app.component.css']
})

export class AppComponent {

showDropDown : boolean = false;
formG = new FormGroup({
  formCont : new FormControl()
})

showDrop (){
  this.showDropDown = !this.showDropDown;
}
@HostListener('click',['$ev.target'])
onClickCalled(target) {
  if(target.id =="search") {
    console.log("S");
  }
}

但是会引发错误：

无法读取未定义的属性“目标”

有人可以帮助我吗？

Answer 1

只需将timedelta64[ns]更改为--------------------------------------------------------------------------- ArrowNotImplementedError Traceback (most recent call last) <ipython-input-41-7df28b306c1e> in <module>() 3 step=10, 4 dtype='timedelta64[ms]') ----> 5 }).to_parquet('test.parquet', engine='pyarrow', compression='gzip') ~/miniconda3/envs/myenv/lib/python3.6/site-packages/pandas/core/frame.py in to_parquet(self, fname, engine, compression, **kwargs) 1940 from pandas.io.parquet import to_parquet 1941 to_parquet(self, fname, engine, -> 1942 compression=compression, **kwargs) 1943 1944 @Substitution(header='Write out the column names. If a list of strings ' ~/miniconda3/envs/myenv/lib/python3.6/site-packages/pandas/io/parquet.py in to_parquet(df, path, engine, compression, **kwargs) 255 """ 256 impl = get_engine(engine) --> 257 return impl.write(df, path, compression=compression, **kwargs) 258 259 ~/miniconda3/envs/myenv/lib/python3.6/site-packages/pandas/io/parquet.py in write(self, df, path, compression, coerce_timestamps, **kwargs) 116 117 else: --> 118 table = self.api.Table.from_pandas(df) 119 self.api.parquet.write_table( 120 table, path, compression=compression, table.pxi in pyarrow.lib.Table.from_pandas() ~/miniconda3/envs/myenv/lib/python3.6/site-packages/pyarrow/pandas_compat.py in dataframe_to_arrays(df, schema, preserve_index, nthreads) 369 arrays = [convert_column(c, t) 370 for c, t in zip(columns_to_convert, --> 371 convert_types)] 372 else: 373 from concurrent import futures ~/miniconda3/envs/myenv/lib/python3.6/site-packages/pyarrow/pandas_compat.py in <listcomp>(.0) 368 if nthreads == 1: 369 arrays = [convert_column(c, t) --> 370 for c, t in zip(columns_to_convert, 371 convert_types)] 372 else: ~/miniconda3/envs/myenv/lib/python3.6/site-packages/pyarrow/pandas_compat.py in convert_column(col, ty) 364 365 def convert_column(col, ty): --> 366 return pa.array(col, from_pandas=True, type=ty) 367 368 if nthreads == 1: array.pxi in pyarrow.lib.array() array.pxi in pyarrow.lib._ndarray_to_array() error.pxi in pyarrow.lib.check_status() ArrowNotImplementedError: Unsupported numpy type 22

require_once 'EventPersister.class.php';


$eventPersister = new EventPersister(EventPersister::GOOGLE_WEBHOOKS);

$eventPersister->Persist($_POST);

无法读取HostListener中的属性

1 个答案: