优化两个简单的嵌套循环

发布于 2024-09-26 05:12:51 字数 718 浏览 9 评论 0原文

我一直在尝试优化以下两个嵌套循环:

def startbars(query_name, commodity_name):

     global h_list
     nc, s, h_list = [], {}, {}
     query = """ SELECT wbcode, Year, """+query_name+""" 
                 FROM innovotable WHERE commodity='"""+commodity_name+"""' and

                 """+query_name+""" != 'NULL' """
     rows = cursor.execute(query)
     for row in rows:
         n = float(row[2])
         s[str(row[0])+str(row[1])] = n
         nc.append(n)
     for iso in result:
         try:
             for an_year in xrange(1961, 2031, 1):
                 skey = iso+str(an_year)
                 h_list[skey] = 8.0 / max(nc) * s[skey]
         except:
             pass

有什么想法吗?谢谢。

I have been trying to optimize the two following nested loops:

def startbars(query_name, commodity_name):

     global h_list
     nc, s, h_list = [], {}, {}
     query = """ SELECT wbcode, Year, """+query_name+""" 
                 FROM innovotable WHERE commodity='"""+commodity_name+"""' and

                 """+query_name+""" != 'NULL' """
     rows = cursor.execute(query)
     for row in rows:
         n = float(row[2])
         s[str(row[0])+str(row[1])] = n
         nc.append(n)
     for iso in result:
         try:
             for an_year in xrange(1961, 2031, 1):
                 skey = iso+str(an_year)
                 h_list[skey] = 8.0 / max(nc) * s[skey]
         except:
             pass

Any ideas? Thanks.

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评论(1

毅然前行 2024-10-03 05:12:51

您的代码不完整,这使得很难提供好的建议,但是:

  1. 内部循环不依赖于外部循环,因此将其从外部循环中拉出。
  2. max(nc) 是第一个循环后的常量,因此将其从循环中拉出。

此外,您还需要知道当前代码有多慢,以及您需要它有多快,否则您的优化可能会错位。

你的数据结构全乱了。也许列出的内容会更快:

def startbars(query_name, commodity_name):

    assert query_name in INNOVOTABLE_FIELD_NAMES

    ## TODO: Replace with proper SQL query
    query = """ SELECT wbcode, Year, """+query_name+""" 
             FROM innovotable WHERE commodity='"""+commodity_name+"""' and

             """+query_name+""" != 'NULL' """
    rows = cursor.execute(query)

    mapYearToWbcodeToField = {}
    nc = []
    global h_list
    h_list = {}

    for row in rows:
        n = float(row[2])
        wbCodeToField = mapYearToWbcodeToField.setdefault(int(row[1]),{})
        wbCodeToField[str(row[0])] = n
        nc.append(n)

    constant = 8.0 / max(nc)


    for (an_year,wbCodeToField) in mapYearToWbcodeToField.iteritems():
        if an_year < 1961 or an_year > 2031:
            continue

        for (wbCode,value) in wbCodeToField.iteritems():
            if wbCode not in result:
                continue

            skey = wbCode+str(an_year)
            h_list[skey] = constant * value

或者将所有检查移到第一个循环中:

def startbars(query_name, commodity_name):

    assert query_name in INNOVOTABLE_FIELD_NAMES

    ## TODO: Replace with proper SQL query
    query = """ SELECT wbcode, Year, """+query_name+""" 
             FROM innovotable WHERE commodity='"""+commodity_name+"""' and

             """+query_name+""" != 'NULL' """
    rows = cursor.execute(query)

    data = []
    maxField = None

    for row in rows:
        an_year = int(row[1])
        if an_year < 1961 or an_year > 2031:
            continue

        wbCode = str(row[0])
        if wbCode not in result:
            continue

        n = float(row[2])

        data.append((wbCode+str(an_year),n))
        if maxField is None or n > maxField:
            maxField = n

    constant = 8.0 / maxField

    global h_list
    h_list = {}

    for (skey,n) in data:
        h_list[skey] = constant * n

Your code isn't complete which makes it hard to give good advice but:

  1. Inner loop doesn't depend on outer-loop, so pull it out of the outer loop.
  2. max(nc) is a constant after first loop, so pull it out of the loops.

Also you need to know how slow the current code is, and how fast you need it to be, otherwise your optimisations maybe misplaced.

Your datastructures are all messed up. Maybe something list this would be faster:

def startbars(query_name, commodity_name):

    assert query_name in INNOVOTABLE_FIELD_NAMES

    ## TODO: Replace with proper SQL query
    query = """ SELECT wbcode, Year, """+query_name+""" 
             FROM innovotable WHERE commodity='"""+commodity_name+"""' and

             """+query_name+""" != 'NULL' """
    rows = cursor.execute(query)

    mapYearToWbcodeToField = {}
    nc = []
    global h_list
    h_list = {}

    for row in rows:
        n = float(row[2])
        wbCodeToField = mapYearToWbcodeToField.setdefault(int(row[1]),{})
        wbCodeToField[str(row[0])] = n
        nc.append(n)

    constant = 8.0 / max(nc)


    for (an_year,wbCodeToField) in mapYearToWbcodeToField.iteritems():
        if an_year < 1961 or an_year > 2031:
            continue

        for (wbCode,value) in wbCodeToField.iteritems():
            if wbCode not in result:
                continue

            skey = wbCode+str(an_year)
            h_list[skey] = constant * value

Or moving all checks into the first loop:

def startbars(query_name, commodity_name):

    assert query_name in INNOVOTABLE_FIELD_NAMES

    ## TODO: Replace with proper SQL query
    query = """ SELECT wbcode, Year, """+query_name+""" 
             FROM innovotable WHERE commodity='"""+commodity_name+"""' and

             """+query_name+""" != 'NULL' """
    rows = cursor.execute(query)

    data = []
    maxField = None

    for row in rows:
        an_year = int(row[1])
        if an_year < 1961 or an_year > 2031:
            continue

        wbCode = str(row[0])
        if wbCode not in result:
            continue

        n = float(row[2])

        data.append((wbCode+str(an_year),n))
        if maxField is None or n > maxField:
            maxField = n

    constant = 8.0 / maxField

    global h_list
    h_list = {}

    for (skey,n) in data:
        h_list[skey] = constant * n
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