Web将tableauViz拖放到R数据帧中

Web将tableauViz拖放到R数据帧中,r,xml,web-scraping,tableau-api,python,R,Xml,Web Scraping,Tableau Api,Python,我花了很多时间寻找这个问题的答案,但还没有找到任何答案。我试图完成的是将包含在tableauViz元素中的Tableau表信息刮取,并将其传播到R数据帧中。在我的第一次尝试中,使用RStudio,我使用了以下代码,并尝试将tableauViz作为HTML读取 # Load rvest functions library(rvest) # Specifying the url for desired website to be scrapped url <- “https://oir.uga

我花了很多时间寻找这个问题的答案,但还没有找到任何答案。我试图完成的是将包含在tableauViz元素中的Tableau表信息刮取,并将其传播到R数据帧中。在我的第一次尝试中,使用RStudio,我使用了以下代码,并尝试将tableauViz作为HTML读取

# Load rvest functions
library(rvest)
# Specifying the url for desired website to be scrapped
url <- “https://oir.uga.edu/factbook/studentinformation/S07StuP58/”
# Reading the HTML code from the website                                          
webpage <- read_html(url)  
# Using CSS selectors to scrap the rankings section                                                     
rank_data_html <- html_nodes(webpage,'.tableauViz')
我从该列表中找到的唯一有价值的属性是静态图像png链接

然而,我不相信我能将这些转换成数据帧

唯一提到这个问题的是这段优秀的YouTube视频“通过R笔记本和Shiny将Tableau与R集成”。我导航到作者的,看看是否能找到一些示例代码,但我找不到任何


如何解决此问题?

为了获取数据,您需要tableau URL,在本例中为:

流程如下所示:

调用以下url:

GET https://public.tableau.com/views/S07StuP58/Dashboard1?:embed=y&:showVizHome=no
从id为tsConfigContainer的textarea中提取JSON内容

使用会话id生成url

POST https://public.tableau.com/{vizql_path}/bootstrapSession/sessions/{session_id}
从最初不是JSON的响应中提取JSON数据以分割数据

从大型JSON配置中提取数据,这并不简单,因为所有字符串数据都位于单个数组中。您需要从各个字段获取数据索引,以便能够将数据拆分为列,然后构建数据框架

以下代码将提示用户按索引选择工作表,解析数据并将其放入数据框中:

library(rvest)
library(rjson)
library(httr)
library(stringr)

#replace the hostname and the path if necessary
host_url <- "https://public.tableau.com"
path <- "/views/S07StuP58/Dashboard1"

body <- read_html(modify_url(host_url, 
                             path = path, 
                             query = list(":embed" = "y",":showVizHome" = "no")
))

data <- body %>% 
  html_nodes("textarea#tsConfigContainer") %>% 
  html_text()
json <- fromJSON(data)

url <- modify_url(host_url, path = paste(json$vizql_root, "/bootstrapSession/sessions/", json$sessionid, sep =""))

resp <- POST(url, body = list(sheet_id = json$sheetId), encode = "form")
data <- content(resp, "text")

extract <- str_match(data, "\\d+;(\\{.*\\})\\d+;(\\{.*\\})")
info <- fromJSON(extract[1,1])
data <- fromJSON(extract[1,3])

worksheets = names(data$secondaryInfo$presModelMap$vizData$presModelHolder$genPresModelMapPresModel$presModelMap)

for(i in 1:length(worksheets)){
  print(paste("[",i,"] ",worksheets[i], sep=""))
}
selected <-  readline(prompt="select worksheet by index: ");
worksheet <- worksheets[as.integer(selected)]
print(paste("you selected :", worksheet, sep=" "))

columnsData <- data$secondaryInfo$presModelMap$vizData$presModelHolder$genPresModelMapPresModel$presModelMap[[worksheet]]$presModelHolder$genVizDataPresModel$paneColumnsData

i <- 1
result <- list();
for(t in columnsData$vizDataColumns){
  if (is.null(t[["fieldCaption"]]) == FALSE) {
    paneIndex <- t$paneIndices
    columnIndex <- t$columnIndices
    if (length(t$paneIndices) > 1){
      paneIndex <- t$paneIndices[1]
    }
    if (length(t$columnIndices) > 1){
      columnIndex <- t$columnIndices[1]
    }
    result[[i]] <- list(
      fieldCaption = t[["fieldCaption"]], 
      valueIndices = columnsData$paneColumnsList[[paneIndex + 1]]$vizPaneColumns[[columnIndex + 1]]$valueIndices,
      aliasIndices = columnsData$paneColumnsList[[paneIndex + 1]]$vizPaneColumns[[columnIndex + 1]]$aliasIndices, 
      dataType = t[["dataType"]],
      stringsAsFactors = FALSE
    )
    i <- i + 1
  }
}
dataFull = data$secondaryInfo$presModelMap$dataDictionary$presModelHolder$genDataDictionaryPresModel$dataSegments[["0"]]$dataColumns

cstring <- list();
for(t in dataFull) {
  if(t$dataType == "cstring"){
    cstring <- t
    break
  }
}
data_index <- 1
name_index <- 1
frameData <-  list()
frameNames <- c()
for(t in dataFull) {
  for(index in result) {
    if (t$dataType == index["dataType"]){
      if (length(index$valueIndices) > 0) {
        j <- 1
        vector <- character(length(index$valueIndices))
        for (it in index$valueIndices){
          vector[j] <- t$dataValues[it+1]
          j <- j + 1
        }
        frameData[[data_index]] <- vector
        frameNames[[name_index]] <- paste(index$fieldCaption, "value", sep="-")
        data_index <- data_index + 1
        name_index <- name_index + 1
      }
      if (length(index$aliasIndices) > 0) {
        j <- 1
        vector <- character(length(index$aliasIndices))
        for (it in index$aliasIndices){
          if (it >= 0){
            vector[j] <- t$dataValues[it+1]
          } else {
            vector[j] <- cstring$dataValues[abs(it)]
          }
          j <- j + 1
        }
        frameData[[data_index]] <- vector
        frameNames[[name_index]] <- paste(index$fieldCaption, "alias", sep="-")
        data_index <- data_index + 1
        name_index <- name_index + 1
      }
    }
  }
}

df <- NULL
lengthList <- c()
for(i in 1:length(frameNames)){
  lengthList[i] <- length(frameData[[i]])
}
max <- max(lengthList)
for(i in 1:length(frameNames)){
  if (length(frameData[[i]]) < max){
    len <- length(frameData[[i]])
    frameData[[i]][(len+1):max]<-""
  }
  df[frameNames[[i]]] <- frameData[i]
}
options(width = 1200)
df <- as.data.frame(df, stringsAsFactors = FALSE)
print(df)
上述代码的等效代码为:

导入请求 从bs4导入BeautifulSoup 导入json 进口稀土 作为pd进口熊猫 如有必要,请更换主机名和路径 主机url=https://public.tableau.com 路径=/views/s0758/Dashboard1 url=f{host\u url}{path} r=requests.get 网址, 参数={ :嵌入:y, :showVizHome:没有 } soup=BeautifulSoupr.text,html.parser tableauData=json.loadssup.findtextarea,{id:tsConfigContainer}.text dataUrl=f'{host_url}{tableauData[vizql_root]}/bootstrapSession/sessions/{tableauData[sessionid]}' r=请求。postdataUrl,数据={ 工作表id:tableauData[工作表id], } dataReg=re.search'\d+;{.*}\d+;{.*}',r.text,re.MULTILINE info=json.loadsdataReg.group1 data=json.loadsdataReg.group2 工作表=listdata[secondaryInfo][presModelMap][vizData][presModelHolder][GenPresModelMapPresModelMap][presModelMap]。键 对于idx,枚举工作表中的ws: printf[{idx}]{ws} 选定=输入按索引选择工作表: 工作表=工作表[intselected] 您选择的打印:{工作表} columnsData=data[secondaryInfo][presModelMap][vizData][presModelHolder][genPresModelMapPresModel][presModelMap][worksheet][presModelHolder][genVizDataPresModel][paneColumnsData] 结果=[ { fieldCaption:t.getfieldCaption, 价值指数:columnsData[paneColumnsList][t[PaneIndicates][0]][vizPaneColumns][t[ColumnIndicates][0]][ValueIndicates], 别名索引:columnsData[paneColumnsList][t[PaneIndicates][0]][vizPaneColumns][t[ColumnIndicates][0]][AliasIndicates], 数据类型:t.getdataType, 窗格索引:t[窗格索引][0], ColumnIndexes:t[ColumnIndexes][0] } 对于t列数据[vizDataColumns] 如果t.getfieldCaption ] dataFull=data[secondaryInfo][presModelMap][dataDictionary][presModelHolder][genDataDictionaryPresModel][dataSegments][0][dataColumns] 定义变量、值、字符串: 返回值[it],如果它>=0,则返回值[it],否则返回[dataValues][absit-1] frameData={} 如果t[dataType]==cstring][0],则cstring=[t代表数据完整中的t] 对于数据完整中的t: 对于结果中的索引: 如果t[dataType]==索引[dataType]: 如果列宁指数[ValueIndexs]>0: 帧数据[f'{index[fieldCaption]}-value']=[t[dataValues][absit]用于索引[valueindex]] 如果列宁指数[AliasIndex]>0: frameData[f'{index[fieldCaption]}-别名']=[OrianAsit,t[dataValues],在索引[AliasIndexes]中为其设置字符串] df=pd.DataFrame.from_dictframeData,orient='index'.fillna0.T 使用pd.option\u上下文'display.max\u rows',None',display.max\u columns',None',display.width',1000: printdf
对于python和R

脚本来说,也许这不关我的事,但作者有意将该工作簿发布在Tableau Public上,限制仅允许PDF或PNG下载。您要求我们提供一种方法来规避作者对数据的预期用途。也就是说,您试图完成的工作非常困难,因为Tableau可视化不仅仅是html。AJAX、客户端渲染和SVG的使用非常复杂。您最好联系发布工作簿的人,询问他们是否愿意与您共享数据。
library(rvest)
library(rjson)
library(httr)
library(stringr)

#replace the hostname and the path if necessary
host_url <- "https://public.tableau.com"
path <- "/views/S07StuP58/Dashboard1"

body <- read_html(modify_url(host_url, 
                             path = path, 
                             query = list(":embed" = "y",":showVizHome" = "no")
))

data <- body %>% 
  html_nodes("textarea#tsConfigContainer") %>% 
  html_text()
json <- fromJSON(data)

url <- modify_url(host_url, path = paste(json$vizql_root, "/bootstrapSession/sessions/", json$sessionid, sep =""))

resp <- POST(url, body = list(sheet_id = json$sheetId), encode = "form")
data <- content(resp, "text")

extract <- str_match(data, "\\d+;(\\{.*\\})\\d+;(\\{.*\\})")
info <- fromJSON(extract[1,1])
data <- fromJSON(extract[1,3])

worksheets = names(data$secondaryInfo$presModelMap$vizData$presModelHolder$genPresModelMapPresModel$presModelMap)

for(i in 1:length(worksheets)){
  print(paste("[",i,"] ",worksheets[i], sep=""))
}
selected <-  readline(prompt="select worksheet by index: ");
worksheet <- worksheets[as.integer(selected)]
print(paste("you selected :", worksheet, sep=" "))

columnsData <- data$secondaryInfo$presModelMap$vizData$presModelHolder$genPresModelMapPresModel$presModelMap[[worksheet]]$presModelHolder$genVizDataPresModel$paneColumnsData

i <- 1
result <- list();
for(t in columnsData$vizDataColumns){
  if (is.null(t[["fieldCaption"]]) == FALSE) {
    paneIndex <- t$paneIndices
    columnIndex <- t$columnIndices
    if (length(t$paneIndices) > 1){
      paneIndex <- t$paneIndices[1]
    }
    if (length(t$columnIndices) > 1){
      columnIndex <- t$columnIndices[1]
    }
    result[[i]] <- list(
      fieldCaption = t[["fieldCaption"]], 
      valueIndices = columnsData$paneColumnsList[[paneIndex + 1]]$vizPaneColumns[[columnIndex + 1]]$valueIndices,
      aliasIndices = columnsData$paneColumnsList[[paneIndex + 1]]$vizPaneColumns[[columnIndex + 1]]$aliasIndices, 
      dataType = t[["dataType"]],
      stringsAsFactors = FALSE
    )
    i <- i + 1
  }
}
dataFull = data$secondaryInfo$presModelMap$dataDictionary$presModelHolder$genDataDictionaryPresModel$dataSegments[["0"]]$dataColumns

cstring <- list();
for(t in dataFull) {
  if(t$dataType == "cstring"){
    cstring <- t
    break
  }
}
data_index <- 1
name_index <- 1
frameData <-  list()
frameNames <- c()
for(t in dataFull) {
  for(index in result) {
    if (t$dataType == index["dataType"]){
      if (length(index$valueIndices) > 0) {
        j <- 1
        vector <- character(length(index$valueIndices))
        for (it in index$valueIndices){
          vector[j] <- t$dataValues[it+1]
          j <- j + 1
        }
        frameData[[data_index]] <- vector
        frameNames[[name_index]] <- paste(index$fieldCaption, "value", sep="-")
        data_index <- data_index + 1
        name_index <- name_index + 1
      }
      if (length(index$aliasIndices) > 0) {
        j <- 1
        vector <- character(length(index$aliasIndices))
        for (it in index$aliasIndices){
          if (it >= 0){
            vector[j] <- t$dataValues[it+1]
          } else {
            vector[j] <- cstring$dataValues[abs(it)]
          }
          j <- j + 1
        }
        frameData[[data_index]] <- vector
        frameNames[[name_index]] <- paste(index$fieldCaption, "alias", sep="-")
        data_index <- data_index + 1
        name_index <- name_index + 1
      }
    }
  }
}

df <- NULL
lengthList <- c()
for(i in 1:length(frameNames)){
  lengthList[i] <- length(frameData[[i]])
}
max <- max(lengthList)
for(i in 1:length(frameNames)){
  if (length(frameData[[i]]) < max){
    len <- length(frameData[[i]])
    frameData[[i]][(len+1):max]<-""
  }
  df[frameNames[[i]]] <- frameData[i]
}
options(width = 1200)
df <- as.data.frame(df, stringsAsFactors = FALSE)
print(df)
               X.Student.Aid.Program.Type..value               X.Student.Aid.Program..value        X..Measure.Names..alias X.Multiple.Values..alias
1                            Grants/Scholarships                                   Subtotal        Graduate Amount Awarded             $XXXXXXXX
2                            Grants/Scholarships       Other (External) Grants/Scholarships        Graduate Amount Awarded                 $XXXXXX
3                            Grants/Scholarships Miscellaneous Tuition/Fee Payments/Waivers        Graduate Amount Awarded              $XXXXXX
4                            Grants/Scholarships     Graduate Assistantship Tuition Waivers        Graduate Amount Awarded              $XXXXXX
5                            Grants/Scholarships                      Athletic Scholarships        Graduate Amount Awarded                 $XXXXXX
6                            Grants/Scholarships          Institutional Grants/Scholarships        Graduate Amount Awarded               $XXXXXX
7                            Grants/Scholarships          State (Other) Grants/Scholarships        Graduate Amount Awarded                   $XXXXXX
8                            Grants/Scholarships                   Zell Miller Scholarships        Graduate Amount Awarded               $XXXXXX
9                            Grants/Scholarships                          HOPE Scholarships        Graduate Amount Awarded                 $XXXXXX
10                           Grants/Scholarships        Federal (Other) Grants/Scholarships        Graduate Amount Awarded                         
11                           Grants/Scholarships                Federal Supplemental Grants        Graduate Amount Awarded                         
12                           Grants/Scholarships                        Federal Pell Grants        Graduate Amount Awarded                         
13                           Grants/Scholarships                                   Subtotal      Graduate Number of Awards                    XXXXXX
14                           Grants/Scholarships       Other (External) Grants/Scholarships      Graduate Number of Awards                      XXX