小编edu*_*ant的帖子

我遇到了Chrome浏览器抛出的一种非常不寻常的错误

当我尝试使用下面的代码行来最大化chrome时

driver.manage().window().maximize();

我收到了以下错误

org.openqa.selenium.WebDriverException: unknown error: cannot get automation extension
from unknown error: page could not be found: chrome-extension://aapnijgdinlhnhlmodcfapnahmbfebeb/_generated_background_page.html
(Session info: chrome=57.0.2987.110)
(Driver info: chromedriver=2.27.440174 (e97a722caafc2d3a8b807ee115bfb307f7d2cfd9),platform=Windows NT 6.3.9600 x86_64) (WARNING: The server did not provide any stacktrace information)
Command duration or timeout: 10.05 seconds

通过这个例子,我做了以下的事情

1. Updated Chrome driver to latest i.e 2.28 for my Chrome version 
   57.0.2987.110 (64-bit)
2. uninstalled and re-installed Chrome
3. did a project build up in Eclipse even created a new workspace …

以下是我试图自动化的场景：

1) Some text is already present in Textbox.
2) Click on Radio button.
3) Processing popup is displayed for few seconds. After popup disappears the textbox 
   becomes blank
4) After textbox is blank then I have to enter different value in text box.

请帮助我，如何等到文本框值为空。

我正在使用 IE 驱动程序进行自动化。

提前致谢

我想根据Spark官方文档了解Spark DAG模型。Spark 中的所有转换都是惰性的，默认情况下，每次对每个转换后的 RDD 运行操作时都可能会重新计算。所以我写了一个如下的小程序：

scala> val lines = sc.textFile("C:\\Spark\\README.md")
lines: org.apache.spark.rdd.RDD[String] = C:\Spark\README.md MapPartitionsRDD[1] at textFile at <console>:24

scala> val breakLInes = lines.flatMap(line=>line.split(" "))
breakLInes: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[2] at flatMap at <console>:26

scala> val createTuple = breakLInes.map(line=>(line,1))
createTuple: org.apache.spark.rdd.RDD[(String, Int)] = MapPartitionsRDD[3] at map at <console>:28

scala> val wordCount = createTuple.reduceByKey
reduceByKey   reduceByKeyLocally

scala> val wordCount = createTuple.reduceByKey(_+_)
wordCount: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:30

scala> wordCount.first
res0: (String, Int) = (package,1)

现在转到下面的 Spark UI，这是我的第一个操作的 …

我已经通过此 URL https://github.com/onnx/onnx安装了 ONNx ，现在尝试在此处运行一些模型https://github.com/onnx/models#face_detection，问题是导入时：

import numpy as np
import onnx

它有效，但是当我尝试导入时

import onnx_backend as backend

它给了我以下错误

Python 3.5.2 (default, Nov 23 2017, 16:37:01) 
[GCC 5.4.0 20160609] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import onnx_backend as backend
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: No module named 'onnx_backend'

否则我可以加载模型而不会出现任何错误；如何纠正导入错误？

我正在使用 holt Winter 方法从这里获得帮助。我的数据格式是

 Year       Rate
0  2013  34.700000
1  2013  34.666667
2  2013  34.600000
3  2014  35.300000
4  2014  34.180000

下面是我的代码

import pandas as pd 

#Importing data

df = pd.read_csv('/home/rajnish.kumar/eclipse-workspace/ShivShakti/Result/weeklyDatarateyearonly/part-00000-971f46d7-a97d-4a7e-be41-dc840c2d0618-c000.csv')

df.Timestamp = pd.to_datetime(df.Datetime,format='%Y') 

但我收到此错误：

AttributeError: 'DataFrame' 对象没有属性 'Datetime'