用于合并面板数据的当前最佳Pandas配方是什么,例如:
sLocation = "D:\Excel-Fso.xls"
sTxtLocation = "D:\Excel-Fso.txt"
Set ObjExl = CreateObject("Excel.Application")
Set ObjWrkBk = ObjExl.Workbooks.Open(sLocation)
Set ObjWrkSht = ObjWrkBk.workSheets("Sheet1")
ObjExl.Visible = True
Set FSO = CreateObject("Scripting.FileSystemObject")
Set FSOFile = FSO.CreateTextFile (sTxtLocation)
sRowCnt = ObjWrkSht.usedRange.Rows.Count
sColCnt = ObjWrkSht.usedRange.Columns.Count
For iLoop = 1 to sRowCnt
For jLoop = 1 to sColCnt
FSOFile.Write(ObjExl.Cells(iLoop,jLoop).value) & vbtab
Next
Next
Set ObjWrkBk = Nothing
Set ObjWrkSht = Nothing
Set ObjExl = Nothing
Set FSO = Nothing
Set FSOFile = Nothing
预期的合并是这样的:
$item1Name = 'blue';
$item2Name = 'red';
$item3Name = 'green';
$item4Name = 'orange';
$item5Name = 'yellow';
for ($x=1;$x<5;$x++){
$insertItem = "insert into tblInvoiceItems (invoiceItemID,invoiceID,item".$x."Name) values";
$varName = "item".$x."Name";
$insertItem .= "('','','".$$varName."')";
runQuery($insertItem,$page);
}
但是,我不明白如何有效地更新原始面板p,以包含此合并。
如果print(p [:,:,'Close'])是这样的:
p = pd.Panel(np.random.randn(2,5,4),
items=['IBM', 'AA'],
major_axis=pd.date_range('1/1/2000', periods=5),
minor_axis=['Open', 'High', 'Low', 'Close'])
dp = pd.Panel(np.random.randn(2,1,1),
items=['IBM', 'Z'],
major_axis=pd.date_range('1/8/2000', periods=1),
minor_axis=['Close'])
然后上面的表合并将如下所示:
p[:,:,'Close'].merge(dp[:,:,'Close'],
how='outer',
on=list(set(p.items) & set(dp.items)),
left_index=True,
right_index=True)
谢谢。
答案 0 :(得分:1)
我会转换为数据帧,combine_first
,然后再转回
new = p.to_frame().combine_first(dp.to_frame()).to_panel()
print new[:,:,'Close']
AA IBM Z
major
2000-01-01 1.348884 0.472272 NaN
2000-01-02 1.599357 -0.228739 NaN
2000-01-03 2.041504 -0.325773 NaN
2000-01-04 0.348960 -0.451274 NaN
2000-01-05 -1.902347 0.146647 NaN
2000-01-08 NaN -0.240884 0.39855