熊猫数据框存在速度问题-还有另一种方法吗？

时间：2019-09-20 06:15:58

标签： python pandas dataframe apply lookup

我有一个数据框电话和一个订单数据框-如果订单大约在同一时间创建并且帐号匹配，我正在尝试将订单详细信息写入电话数据框。

目前，我与已编写的函数一起“应用”了熊猫，但它的速度很慢。它似乎在遍历每条记录并永久删除。

由于它们很快就可以连接或合并，但是我似乎无法在其中放置任何实际形式的条件逻辑？我想指定在通话时间的5分钟内创建订单，有什么建议吗？

我当前的方法如下（对我来说很容易-我还在学习）

功能

def get_order_from_call_time_and_person(row):

    row = pd.Series(row)
    mn = row["MINUTE"]
    hr = row["HOUR"]    
    dy = row["DAY"]
    mt = row["MONTH"]
    yr = row["YEAR"]
    ac = row["oprano"]

    mnFrom = mn
    mnTo = mn
    hrFrom = hr
    hrTo = hr
    mnIN = 0
    mnFrom = (mn - 5)
    mnTo = (mn + 5)
    hrFrom = hr
    hrTo = hr
    if mnFrom < 0:
        mnFrom = (mn-5)+60
        hrFrom = hr-1
    if mnTo > 60:
        mnTo = mnTo-60
        hrTo =hr+1
    if mnFrom > mnTo:
        mnIN = mnFrom
        mnFrom = mnTo
        mnTo = mnIN

    order1 = orders_df[(orders_df["hour_created"].between(hrFrom,hrTo)) &
          (orders_df["day_created"] == int(dy)) & 
          (orders_df["month_created"] == int(mt)) & 
          (orders_df["year_created"] == int(yr)) & 
          (orders_df["slaccount"] == str(ac))]

    try:

        value = order1["value"].iloc[0]
        quoteno = order1["quoteno"].iloc[0]
        cost = order1["costvalue"].iloc[0]
        orderno = order1["ordernumber"].iloc[0]
        if orderno == "" or orderno == "NAN":
            orderno = "none"
        margin = order1["value"].iloc[0] - order1["costvalue"].iloc[0]
        minute_confirmed = order1["minute_confirmed"].iloc[0]
        hour_confirmed = order1["hour_confirmed"].iloc[0]
        day_confirmed = order1["day_confirmed"].iloc[0]
        month_confirmed = order1["month_confirmed"].iloc[0]
        year_confirmed = order1["year_confirmed"].iloc[0]
        print( "OK")
        return pd.Series((value, margin, cost, int(quoteno), orderno , minute_confirmed, hour_confirmed, day_confirmed, month_confirmed, year_confirmed))
    except Exception as e:
        print("Not Found")
        return pd.Series(("none", "none" , "none", "none", "none","none", "none" , "none", "none", "none"))

呼叫代码以根据呼叫日志检查订单。

df[['value', 'margin','cost','quote_no','order_no','minute_confirmed','hour_confirmed','day_confirmed','month_confirmed',"year_confirmed"]] = df[["MINUTE","HOUR","DAY","MONTH","YEAR","oprano"]].apply(lambda x : get_order_from_call_time_and_person(x),axis=1)

example data

运行此命令以获取数据的HTML表版本

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rder-box;
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rder-box;
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rder-box;
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rder-box;
  max-width:none'>9</td>
  <td class=3Dxl71 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>2019</td>
  <td class=3Dxl71 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>6</td>
  <td class=3Dxl71 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>12</td>
  <td class=3Dxl71 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>none</td>
  <td class=3Dxl71 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>Robby</td>
  <td class=3Dxl71 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>55503</td>
  <td class=3Dxl71 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>Handy Hardware</td>
  <td class=3Dxl71 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>HHA1</td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
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 <tr height=3D20 style=3D'height:15.0pt'>
  <td height=3D20 class=3Dxl65 style=3D'height:15.0pt'></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
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  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
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splay:
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  <td class=3Dxl66 style=3D'border-left:none'>minute_create<span style=3D'd=
isplay:
  none'>d</span></td>
  <td class=3Dxl66 style=3D'border-left:none'>year_confirmed</td>
  <td class=3Dxl66 style=3D'border-left:none'>month_confirme<span style=3D'=
display:
  none'>d</span></td>
  <td class=3Dxl66 style=3D'border-left:none'>day_confirmed</td>
  <td class=3Dxl66 style=3D'border-left:none'>hour_confirmed</td>
  <td class=3Dxl66 style=3D'border-left:none'>minute_confirmed</td>
  <td class=3Dxl65></td>
  <td class=3Dxl65></td>
 </tr>
 <tr height=3D20 style=3D'height:15.0pt'>
  <td height=3D20 class=3Dxl68 style=3D'height:15.0pt;border-top:none;box-s=
izing: border-box;
  max-width:none'>1508</td>
  <td class=3Dxl69 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>11/06/2013</td>
  <td class=3Dxl69 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>12/06/2013</td>
  <td class=3Dxl69 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>11/06/2013</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>36.36</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>L</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>16.77</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>ORD00060</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>SAM</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>AAA1</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>2013</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>6</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>11</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>16</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>51</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>2013</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>6</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>11</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>8</td>
  <td class=3Dxl68 style=3D'border-top:none;border-left:none;box-sizing: bo=
rder-box;
  max-width:none'>26</td>
  <td class=3Dxl74>&nbsp;</td>
  <td class=3Dxl65></td>
 </tr>
 <tr height=3D20 style=3D'height:15.0pt'>
  <td height=3D20 class=3Dxl73 style=3D'height:15.0pt'></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
 </tr>
 <tr height=3D20 style=3D'height:15.0pt'>
  <td height=3D20 class=3Dxl75 style=3D'height:15.0pt'></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
  <td class=3Dxl73></td>
 </tr>
 <![if supportMisalignedColumns]>
 <tr height=3D0 style=3D'display:none'>
  <td width=3D119 style=3D'width:89pt'></td>
  <td width=3D69 style=3D'width:52pt'></td>
  <td width=3D82 style=3D'width:62pt'></td>
  <td width=3D70 style=3D'width:53pt'></td>
  <td width=3D53 style=3D'width:40pt'></td>
  <td width=3D70 style=3D'width:53pt'></td>
  <td width=3D62 style=3D'width:47pt'></td>
  <td width=3D82 style=3D'width:62pt'></td>
  <td width=3D69 style=3D'width:52pt'></td>
  <td width=3D63 style=3D'width:47pt'></td>
  <td width=3D83 style=3D'width:62pt'></td>
  <td width=3D83 style=3D'width:62pt'></td>
  <td width=3D95 style=3D'width:71pt'></td>
  <td width=3D78 style=3D'width:59pt'></td>
  <td width=3D84 style=3D'width:63pt'></td>
  <td width=3D98 style=3D'width:74pt'></td>
  <td width=3D98 style=3D'width:74pt'></td>
  <td width=3D109 style=3D'width:82pt'></td>
  <td width=3D167 style=3D'width:125pt'></td>
  <td width=3D112 style=3D'width:84pt'></td>
  <td width=3D112 style=3D'width:84pt'></td>
  <td width=3D64 style=3D'width:48pt'></td>
 </tr>
 <![endif]>
</table>

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