如何通過python在Spotfire中動態創建數據表

Question

我需要迭代每一行，將項添加到字典中，進行一些排序，然后將結果吐出到我需要通過腳本動態創建的數據表中。

http://spotfirecommunity.tibco.com/community/blogs/tips/archive/2011/03/06/displaying-cross-table-data-as-a-new-data-table.aspx

我再也無法訪問這篇文章了，有沒有人有代碼可以做類似的事情呢？

謝謝

Answer 1

在一些幫助下解決了這個問題。

你必須創建一個.Net DataSet和DataTable，在內存中添加行，處理表並從數據創建一個制表符分隔的字符串，然后使用Stream創建一個Spotfire TextDataSource ...然后你可以在Spotfire中創建一個數據表使用內存中的文本數據源（而不是物理文本文件）。

此代碼中還有其他與我試圖解決的問題相關的內容，但它可能對其他人有用。

import clr
clr.AddReference('System.Data')
import System
from System.Data import DataSet, DataTable, XmlReadMode
from Spotfire.Dxp.Data import DataType, DataTableSaveSettings
from System.IO import StringReader, StreamReader, StreamWriter, MemoryStream, SeekOrigin
from System.Threading import Thread
from Spotfire.Dxp.Data import IndexSet
from Spotfire.Dxp.Data import RowSelection
from Spotfire.Dxp.Data import DataValueCursor
from Spotfire.Dxp.Data import DataSelection
from Spotfire.Dxp.Data import DataPropertyClass
from Spotfire.Dxp.Data import Import
from System import DateTime
from System import DateTime, TimeSpan, DayOfWeek
from datetime import date
from System.Net import HttpWebRequest
import time
from Spotfire.Dxp.Data.Import import TextFileDataSource, TextDataReaderSettings



rowCount = Document.Data.Tables['Registrations'].RowCount
rowsToInclude = IndexSet(rowCount,True)
myList = []


#Get a cursor to the two columns we want to use. cursor1 is for the key column and cursor2 is for the column selected by the user input
registration = DataValueCursor.CreateFormatted(Document.Data.Tables['Registrations'].Columns["Registration ID"])
date1 = DataValueCursor.Create[DateTime](Document.Data.Tables['Registrations'].Columns["Date 1"])
date2 = DataValueCursor.Create[DateTime](Document.Data.Tables['Registrations'].Columns["Date 2"])
date3 = DataValueCursor.Create[DateTime](Document.Data.Tables['Registrations'].Columns["Date 3"])
date4 = DataValueCursor.Create[DateTime](Document.Data.Tables['Registrations'].Columns["Date 4"])
date5 = DataValueCursor.Create[DateTime](Document.Data.Tables['Registrations'].Columns["Date 5"])

#get users logon name not prid
#print Thread.CurrentPrincipal.Identity.Name

dataSet = DataSet()
dataTable = DataTable("pattern")
dataTable.Columns.Add("Registration ID", System.String)
dataTable.Columns.Add("Date 1", System.DateTime)
dataTable.Columns.Add("Date 2", System.DateTime)
dataTable.Columns.Add("Date 3", System.DateTime)
dataTable.Columns.Add("Date 4", System.DateTime)
dataTable.Columns.Add("Date 5", System.DateTime)
dataTable.Columns.Add("Sequence", System.String)
dataSet.Tables.Add(dataTable)

for  row in  Document.Data.Tables['Registrations'].GetRows(rowsToInclude,registration, date1,date2,date3, date4, date5):
   dates=dict()
   reg = registration.CurrentValue
   value1 = date1.CurrentValue  
   value2 = date2.CurrentValue 
   value3 = date3.CurrentValue
   value4 = date4.CurrentValue
   value5 = date5.CurrentValue  
   dates['date1'] = value1
   dates['date2'] = value2
   dates['date3'] = value3
   dates['date4'] = value4
   dates['date5'] = value5

   sortedDates = sorted(dates.values())

   #print sorted(dates.values())

   pattern = ""
   for key, value in sorted(dates.iteritems(), key=lambda (k,v): (v,k)):   
                if str(value) <> '01/01/0001 00:00:00':
                    print 'Found a zero date'
                    if key == 'date1':
                                pattern = pattern + 'd1'
                                print 'Found a date 1'
                    if key == 'date2':
                                pattern = pattern + 'd2'
                                print 'Found a date 2'
                    if key == 'date3':
                                pattern = pattern + 'd3'
                                print 'Found a date 3'
                    if key == 'date4':
                                pattern = pattern + 'd4'
                                print 'Found a date 4'
                    if key == 'date5':
                                pattern = pattern + 'd5'
                                print 'Found a date 5'


   dt = dataTable.NewRow()
   dt["Registration ID"] = reg
   dt["Date 1"] = value1
   dt["Date 2"] = value2
   dt["Date 3"] = value3
   dt["Date 4"] = value4
   dt["Date 5"] = value5
   dt["Sequence"] = pattern  
   dataTable.Rows.Add(dt)


textData = "Registration ID\tDate 1\tDate 2\tDate 3\tDate 4\tDate 5\tSequence\r\n"
for row in dataTable.Rows:
                textData +=  row["Registration ID"] + "\t" + str(row["Date 1"]) + "\t" + str(row["Date 2"]) + "\t" + str(row["Date 3"]) + "\t" + str(row["Date 4"]) + "\t" + str(row["Date 5"]) + "\t" + row["Sequence"] + "\r\n"



print textData

stream = MemoryStream()
writer = StreamWriter(stream)
writer.Write(textData)
writer.Flush()
stream.Seek(0, SeekOrigin.Begin)

readerSettings = TextDataReaderSettings()
readerSettings.Separator = "\t"
readerSettings.AddColumnNameRow(0)
readerSettings.SetDataType(0, DataType.String)
readerSettings.SetDataType(1, DataType.Date)
readerSettings.SetDataType(2, DataType.Date)
readerSettings.SetDataType(3, DataType.Date)
readerSettings.SetDataType(4, DataType.Date)
readerSettings.SetDataType(5, DataType.String)

dSource = TextFileDataSource(stream, readerSettings)

if Document.Data.Tables.Contains("Sequence"):
                Document.Data.Tables["Sequence"].ReplaceData(dSource)
else:
                newTable = Document.Data.Tables.Add("Sequence", dSource)
                tableSettings = DataTableSaveSettings (newTable, False, False)
                Document.Data.SaveSettings.DataTableSettings.Add(tableSettings)

Answer 2

代替

for row in dataTable.Rows:
 textData +=  row["Registration ID"] + "\t" + str(row["Date 1"]) + "\t" + str(row["Date 2"]) + "\t" + str(row["Date 3"]) + "\t" + str(row["Date 4"]) + "\t" + str(row["Date 5"]) + "\t" + row["Sequence"] + "\r\n"

我用了

output = cStringIO.StringIO()
for row in dataTable.Rows:
  output.write(row["Registration ID"] + "\t" + str(row["Date 1"]) + "\t" +             str(row["Date 2"]) + "\t" + str(row["Date 3"]) + "\t" + str(row["Date 4"]) + "\t" + str(row["Date 5"]) + "\t" + row["Sequence"] + "\r\n")

這是一個很大的性能提升。