本文整理汇总了Python中Helper.median方法的典型用法代码示例。如果您正苦于以下问题：Python Helper.median方法的具体用法？Python Helper.median怎么用？Python Helper.median使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Helper的用法示例。
在下文中一共展示了Helper.median方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: doStatistics
# 需要导入模块: import Helper [as 别名]
# 或者: from Helper import median [as 别名]
def doStatistics(idlist, outputcsv):
seqlengths = Helper.getSequenceLengthsForAccessionsIds(idlist)
tsvs = Helper.getTsvEntriesForIdList(idlist)
domainCount = 0
domainCountCutoff = 0
domainCover = {}
clanCount = {}
cutoff = rcp.getint("Options", "domainlengthcutoff")
lengths = []
for seq in seqlengths:
lengths.append(seqlengths[seq])
domainlength = 0
for domain in tsvs[seq]:
domainlength = (domain.alignmentEnd - domain.alignmentStart)
domainCount += 1
if domainlength >= cutoff:
domainCountCutoff += 1
if domain.clan not in clanCount:
clanCount[domain.clan] = 0
clanCount[domain.clan] += 1
domainCover[seq] = float(domainlength) / float(seqlengths[seq])
if not os.path.exists(outputcsv):
out = open(outputcsv, "w")
out.write(";".join(["taxid", "lengthsum", "meanlength", "medianlength", "domaincount", "domaincountcutoff", "meanclans", "medianclans", "meancover", "mediancover"]))
out.write("\n")
meanClan = Helper.mean(list(clanCount.values()))
medianClan = Helper.median(list(clanCount.values()))
meanCover = Helper.mean(list(domainCover.values()))
medianCover = Helper.median(list(domainCover.values()))
lengthSum = str(sum(lengths))
meanLength = str(Helper.mean(lengths))
medianLength = str(Helper.median(lengths))
out = open(outputcsv, "a")
out.write(";".join([str(tsvs[tsvs.keys()[0]][0].tax), lengthSum, meanLength, medianLength, str(domainCount), str(domainCountCutoff), str(meanClan), str(medianClan), str(meanCover), str(medianCover)]))
out.write("\n")
print "lengthSum", lengthSum
print "mean length", meanLength
print "median length", medianLength
print "domain count", domainCount
print "domain count considering cutoff (", cutoff, ")", domainCountCutoff
print "mean clans", meanClan
print "median clans", medianClan
print "mean coverage", meanCover
print "median coverage", medianCover
return clanCount示例2: open
# 需要导入模块: import Helper [as 别名]
# 或者: from Helper import median [as 别名]
handle.close()
sumA = 0
for key in inparalogsPerGroupA:
sumA += inparalogsPerGroupA[key]
sumB = 0
for key in inparalogsPerGroupB:
sumB += inparalogsPerGroupB[key]
out = open(outputfile, 'w')
out.write("Score summary\n")
out.write(output)
out.write("Mean " + str(Helper.mean(scores)) + '\n')
out.write("Median " + str(Helper.median(scores)) + '\n')
out.write("Max " + str(max(scores)) + '\n')
out.write("Len " + str(len(scores)) + '\n\n')
out.write("Organism A\n")
out.write("Inparalgos " + str(sumA) + '\n')
out.write("Inparalogs per group " + str(float(sumA)/float(len(inparalogsPerGroupA))) + '\n')
out.write("Organism B\n")
out.write("Inparalogs " + str(sumB) + '\n')
out.write("Inparalogs per group " + str(float(sumB)/float(len(inparalogsPerGroupB))) + '\n')
out.close()
else:
print __doc__
sys.exit(0)
示例3: addMinimumDomainCountToFullOrthologs
# 需要导入模块: import Helper [as 别名]
# 或者: from Helper import median [as 别名]
def addMinimumDomainCountToFullOrthologs(pairwise):
pairwiseCount = {}
notTheSameA = []
notTheSameB = []
theSame = []
for pair in pairwise:
accPair = OrthologPair(first = pair.first.accession, second = pair.second.accession)
if len(pair.first.domains) == len(pair.second.domains):
theSame.append(len(pair.first.domains))
else:
notTheSameA.append(len(pair.first.domains))
notTheSameB.append(len(pair.second.domains))
pairwiseCount[accPair] = min(len(pair.first.domains), len(pair.second.domains))
print len(theSame), "sequence pairs have the same amount of domains with a mean of", Helper.mean(theSame), "and a median of", Helper.median(theSame)
print len(notTheSameA), "sequence pairs do not have the same amount of domains with a mean of", Helper.mean(notTheSameA), "/", Helper.mean(notTheSameB), "and a median of", Helper.median(notTheSameA), "/" , Helper.median(notTheSameB)
return pairwiseCount