小编Rho*_*nda的帖子

我知道PowerShell的一个简单的弹出功能,例如:

function popUp($text,$title) {
    $a = new-object -comobject wscript.shell
    $b = $a.popup($text,0,$title,0)
}

popUp "Enter your demographics" "Demographics"

但我无法找到一个等效的弹出窗口来请求输入.

当然,有Read-Line,但它从控制台提示.

然后有这个复杂的功能,对于要求输入一次或两次的脚本来说似乎有点过分:

function getValues($formTitle, $textTitle){
    [void] [System.Reflection.Assembly]::LoadWithPartialName("System.Drawing") 
    [void] [System.Reflection.Assembly]::LoadWithPartialName("System.Windows.Forms") 

    $objForm = New-Object System.Windows.Forms.Form
    $objForm.Text = $formTitle
    $objForm.Size = New-Object System.Drawing.Size(300,200)
    $objForm.StartPosition = "CenterScreen"

    $objForm.KeyPreview = $True
    $objForm.Add_KeyDown({if ($_.KeyCode -eq "Enter") {$x=$objTextBox.Text;$objForm.Close()}})
    $objForm.Add_KeyDown({if ($_.KeyCode -eq "Escape") {$objForm.Close()}})

    $OKButton = New-Object System.Windows.Forms.Button
    $OKButton.Location = New-Object System.Drawing.Size(75,120)
    $OKButton.Size = New-Object System.Drawing.Size(75,23)
    $OKButton.Text = "OK"
    $OKButton.Add_Click({$Script:userInput=$objTextBox.Text;$objForm.Close()})
    $objForm.Controls.Add($OKButton)

    $CANCELButton = New-Object System.Windows.Forms.Button
    $CANCELButton.Location = …

我有一个这样的领域

Color
Pink
Blue
Pink
Blue
Pink
Pink
Pink
Pink
Pink
Blue
Blue
Pink
Pink
Pink
Blue
Pink
Blue
Pink
Blue

如何创建计算字段来计算粉红色出现的次数？

蓝色总数？

Python版本: 2.7.13

操作系统: Windows Server 2012

我正在按照本教程设置Python环境

当我尝试执行时

python ~\Desktop\ez_setup.py

我明白了

Exception calling "DownloadFile" with "2" argument(s): "The request was aborted: Could not create SSL/TLS secure
channel."
At line:1 char:106
+ [System.Net.WebRequest]::DefaultWebProxy.Credentials = [System.Net.CredentialCac ...
+ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : NotSpecified: (:) [], MethodInvocationException
    + FullyQualifiedErrorId : WebException

我尝试根据此链接启用S​​SL和TLS 并重新启动服务器,但没有运气

所以我有 R 程序，并且正在努力获取地图中的所有点

library(ggmap)
library(ggplot2)

setwd("d:/GIS/")
sep <- read.csv("SEP_assets_csv.csv")
Sub1 <- sep[grep("SEP.12", names(sep))]
sep$newCol <- 100*rowSums(Sub1)/rowSums(sep[4:7])


# create a new grouping variable
Percent_SEP12_Assets <- ifelse(sep[,8] >= 50, "Over 50", "Under 50")

# get the map
map <- get_map("Kissena Park, Queens", zoom = 13, maptype = 'roadmap')

# plot the map and use the grouping variable for the fill inside the aes
ggmap(map) +
  geom_point(data=sep, aes(x = Longitude, y = Latitude, color=Percent_SEP12_Assets ), size=9, alpha=0.6) +
  scale_color_manual(breaks=c("Over 50", "Under 50"), values=c("green","red")) …

我在 r 传单代码中添加了图例，输出是这样的

我希望订单是

• 绿色“超过 66%”
• 橙色“33% 到 66% 之间”
• 红色“低于 33%”

代码

sep <- read.csv("31R_SEP_assets_csv - Copy.csv")

Sub1 <- sep[grep("SEP.12", names(sep))]
sep$newCol <- 100*rowSums(Sub1)/rowSums(sep[4:7])

# create a new grouping variable
Percent_SEP12_Assets <- ifelse(sep[,8] <= 33, "Less than 33%", ifelse(sep[,8] >= 66, "More than 66%", "Between 33% and 66%"))

Color_Assets <- colorFactor(c("darkgreen","darkorange","darkred"),
                               levels = Percent_SEP12_Assets,ordered=FALSE)

leaflet(data = sep[]) %>% 
  setView(lng = mean(sep$Longitude), lat = mean(sep$Latitude), zoom = 12) %>% addTiles()  %>%
  addCircleMarkers(~Longitude, ~Latitude,  color = ~Color_Assets(Percent_SEP12_Assets),  popup = ~as.character(paste(Site, Percent_SEP12_Assets …

我读了一篇关于JOINS的好文章,"INNER JOIN"和"OUTER JOIN"有什么区别？但我不认为这有助于我的问题.

我想将两个select语句组合成一个select语句AND,使其对任何要查询的数据库都有效.

这就是我所拥有的

SELECT
(SELECT COUNT(*) 
                        FROM dbo.sem_computer, [dbo].[V_SEM_COMPUTER], dbo.IDENTITY_MAP, dbo.SEM_CLIENT,dbo.SEM_AGENT,dbo.PATTERN
                        WHERE [dbo].[V_SEM_COMPUTER].COMPUTER_ID = SEM_COMPUTER.COMPUTER_ID
                        AND dbo.SEM_CLIENT.GROUP_ID = IDENTITY_MAP.ID
                        AND dbo.SEM_CLIENT.COMPUTER_ID = SEM_COMPUTER.COMPUTER_ID
                        AND SEM_COMPUTER.COMPUTER_ID = dbo.SEM_AGENT.COMPUTER_ID
                        AND dbo.PATTERN.PATTERN_IDX = dbo.SEM_AGENT.PATTERN_IDX
                        AND Name like '%Staten Island%'
                        AND dbo.SEM_AGENT.AGENT_VERSION LIKE '11.%'
                        AND dbo.SEM_COMPUTER.OPERATION_SYSTEM LIKE 'Windows%') AS 'Windows-SEP-11',
(SELECT COUNT(*) 
                        FROM dbo.sem_computer, [dbo].[V_SEM_COMPUTER], dbo.IDENTITY_MAP, dbo.SEM_CLIENT,dbo.SEM_AGENT,dbo.PATTERN
                        WHERE [dbo].[V_SEM_COMPUTER].COMPUTER_ID = SEM_COMPUTER.COMPUTER_ID
                        AND dbo.SEM_CLIENT.GROUP_ID = IDENTITY_MAP.ID
                        AND dbo.SEM_CLIENT.COMPUTER_ID = SEM_COMPUTER.COMPUTER_ID
                        AND SEM_COMPUTER.COMPUTER_ID = dbo.SEM_AGENT.COMPUTER_ID
                        AND dbo.PATTERN.PATTERN_IDX = dbo.SEM_AGENT.PATTERN_IDX
                        AND Name like …

我有 T-SQL 代码，正在研究如何拆分

Aruba\abc
Spain\defg
New Zealand\qwerty
Antartica\sporty

这样列输出

abc
defg
qwerty
sporty

到目前为止，我发现了这样的东西，

http://www.aspsnippets.com/Articles/Split-function-in-SQL-Server-Example-Function-to-Split-Comma-separated-Delimited-string-in-SQL-Server-2005-2008-and- 2012.aspx

但它根据分隔符将列拆分为新列。

我希望在分隔符之后保留信息 \

请指教

我正在尝试创建 .csv 文件。

由于某种原因，它在打印条目之前会跳行。

这是输出

但这就是我需要的

下面是代码。显然if line != "":不起作用

import csv

#-----------------------------------
def csv_writer(data,path):
    """
    Write data to a CSV file path
    """
    with open(path, "w") as csv_file:
        writer = csv.writer(csv_file, delimiter=',')
        for line in data:
            if line != "":
                writer.writerow(line)

#-----------------------------------
if __name__ == "__main__":
    data = ["first_name,last_name,city".split(","),
            "Tyrese,Hirthe,Strackeport".split(","),
            "Jules,Dicki,Lake Nickolasville".split(","),
            "Dedric,Medhurst,Stiedemannberg".split(",")
            ]
    path = "output.csv"
    csv_writer(data,path)

我有一个查询输出前30个结果

select top 30 * from [dbo].[Stats]
        where Rack_Code = 'ABC'
        order by Date_of_Record desc

并查询以获取所有时间的平均值

SELECT AVG(Total_MB - (East_MB + West_MB)) AS Other,
                    AVG(East_MB) AS East,
                    AVG(West_MB) AS West
                    FROM [dbo].[Stats]
                    WHERE Rack_Code = 'ABC'

哪个给出正确的输出

但是当我尝试获得前30个条目的平均值时,SQL查询似乎忽略了 Top 30

SELECT TOP 30 AVG(Total_MB - (East_MB + West_MB)) AS Other,
                    AVG(East_MB) AS East,
                    AVG(West_MB) AS West
                    FROM [dbo].[Stats]
                    WHERE Rack_Code = 'ABC'

并提供不正确的输出

请指教

R版本3.2.1

我从http://cran.r-project.org/web/packages/gpclib/index.html下载了gpclib_1.5-5.tar.gz 并试图安装包

install.packages("D:/GIS/gpclib_1.5-5.tar.gz", repos = NULL, type = "source")

我收到了错误

* installing *source* package 'gpclib' ...
** package 'gpclib' successfully unpacked and MD5 sums checked
** libs

*** arch - i386
Warning: running command 'make -f "D:/R/R-3.2.1/etc/i386/Makeconf" -f "D:/R/R-3.2.1/share/make/winshlib.mk" SHLIB="gpclib.dll" OBJECTS="Rgpc.o gpc.o"' had status 127
ERROR: compilation failed for package 'gpclib'
* removing 'D:/R/R-3.2.1/library/gpclib'
Warning in install.packages :
  running command '"D:/R/R-3.2.1/bin/x64/R" CMD INSTALL -l "D:\R\R-3.2.1\library" "D:/GIS/gpclib_1.5-5.tar.gz"' had status 1
Warning in install.packages :
  installation of package ‘D:/GIS/gpclib_1.5-5.tar.gz’ …

我有每个SiteID的许多度量值的数据,即

Total Windows    Total Mac    Total Online    Total Offline    Total Computers    SiteID

我一直在谷歌搜索如何在Tableau中创建饼图,但这些教程假设我有类似的数据

 OS    Status    SiteID

我最终要做的是创建一个在线与离线用户的饼图,并使用其他数据点的操作来过滤该图表.

我只需要知道如何创建饼图,然后我可以创建动作.

我在Tableau中创建了饼图，即

当我尝试将数字格式化为百分比时，我得到了

我什至会创建一个计算值。数据形式

TYPE
Email
Removable Media
HTTP
CD/DVD

对于所有值，过滤依据 Location

在 Tableau 中，当我转到“分析”>“趋势线”>“显示趋势线”时，为什么会显示 3 条趋势线？

这是什么意思？

或者你能告诉我谷歌来解决这个问题吗？我难住了？？？