diff options
Diffstat (limited to 'wqflask/utility/webqtlUtil.py')
| -rwxr-xr-x | wqflask/utility/webqtlUtil.py | 1459 |
1 files changed, 729 insertions, 730 deletions
diff --git a/wqflask/utility/webqtlUtil.py b/wqflask/utility/webqtlUtil.py index 6af7f846..6409e781 100755 --- a/wqflask/utility/webqtlUtil.py +++ b/wqflask/utility/webqtlUtil.py @@ -90,741 +90,741 @@ PROGRESSBAR = HT.Image('/images/waitAnima2.gif', alt='checkblue',align="middle", ######################################### def decodeEscape(str): - a = str - pattern = re.compile('(%[0-9A-Fa-f][0-9A-Fa-f])') - match = pattern.findall(a) - matched = [] - for item in match: - if item not in matched: - a = a.replace(item, '%c' % eval("0x"+item[-2:])) - matched.append(item) - return a - + a = str + pattern = re.compile('(%[0-9A-Fa-f][0-9A-Fa-f])') + match = pattern.findall(a) + matched = [] + for item in match: + if item not in matched: + a = a.replace(item, '%c' % eval("0x"+item[-2:])) + matched.append(item) + return a + def exportData(hddn, tdata, NP = None): - for key in tdata.keys(): - _val, _var, _N = tdata[key].val, tdata[key].var, tdata[key].N - if _val != None: - hddn[key] = _val - if _var != None: - hddn['V'+key] = _var - if NP and _N != None: - hddn['N'+key] = _N - + for key in tdata.keys(): + _val, _var, _N = tdata[key].val, tdata[key].var, tdata[key].N + if _val != None: + hddn[key] = _val + if _var != None: + hddn['V'+key] = _var + if NP and _N != None: + hddn['N'+key] = _N + def genShortStrainName(RISet='', input_strainName=''): - #aliasStrainDict = {'C57BL/6J':'B6','DBA/2J':'D2'} - strainName = input_strainName - if RISet != 'AXBXA': - if RISet == 'BXD300': - this_RISet = 'BXD' - elif RISet == 'BDF2-2005': - this_RISet = 'CASE05_' - else: - this_RISet = RISet - strainName = string.replace(strainName,this_RISet,'') - strainName = string.replace(strainName,'CASE','') - try: - strainName = "%02d" % int(strainName) - except: - pass - else: - strainName = string.replace(strainName,'AXB','A') - strainName = string.replace(strainName,'BXA','B') - try: - strainName = strainName[0] + "%02d" % int(strainName[1:]) - except: - pass - return strainName + #aliasStrainDict = {'C57BL/6J':'B6','DBA/2J':'D2'} + strainName = input_strainName + if RISet != 'AXBXA': + if RISet == 'BXD300': + this_RISet = 'BXD' + elif RISet == 'BDF2-2005': + this_RISet = 'CASE05_' + else: + this_RISet = RISet + strainName = string.replace(strainName,this_RISet,'') + strainName = string.replace(strainName,'CASE','') + try: + strainName = "%02d" % int(strainName) + except: + pass + else: + strainName = string.replace(strainName,'AXB','A') + strainName = string.replace(strainName,'BXA','B') + try: + strainName = strainName[0] + "%02d" % int(strainName[1:]) + except: + pass + return strainName def toInt(in_str): - "Converts an arbitrary string to an unsigned integer" - start = -1 - end = -1 - for i, char in enumerate(in_str): - if char >= '0' and char <= '9': - if start < 0: - start = i - end = i+1 - else: - if start >= 0: - break - if start < end: - return int(in_str[start:end]) - else: - return -1 + "Converts an arbitrary string to an unsigned integer" + start = -1 + end = -1 + for i, char in enumerate(in_str): + if char >= '0' and char <= '9': + if start < 0: + start = i + end = i+1 + else: + if start >= 0: + break + if start < end: + return int(in_str[start:end]) + else: + return -1 def transpose(m): - 'transpose a matrix' - n = len(m) - return [[m[j][i] for i in range(len(m[0])) for j in range(n)][k*n:k*n+n] for k in range(len(m[0]))] + 'transpose a matrix' + n = len(m) + return [[m[j][i] for i in range(len(m[0])) for j in range(n)][k*n:k*n+n] for k in range(len(m[0]))] def asymTranspose(m): - 'transpose a matrix' - t = max(map(len, m)) - n = len(m) - m2 = [["-"]]*n - for i in range(n): - m2[i] = m[i] + [""]*(t- len(m[i])) - return [[m2[j][i] for i in range(len(m2[0])) for j in range(n)][k*n:k*n+n] for k in range(len(m2[0]))] + 'transpose a matrix' + t = max(map(len, m)) + n = len(m) + m2 = [["-"]]*n + for i in range(n): + m2[i] = m[i] + [""]*(t- len(m[i])) + return [[m2[j][i] for i in range(len(m2[0])) for j in range(n)][k*n:k*n+n] for k in range(len(m2[0]))] def genRandStr(prefix = "", length=8, chars=string.letters+string.digits): - from random import choice - _str = prefix[:] - for i in range(length): - _str += choice(chars) - return _str + from random import choice + _str = prefix[:] + for i in range(length): + _str += choice(chars) + return _str def generate_session(): - import sha - return sha.new(str(time.time())).hexdigest() + import sha + return sha.new(str(time.time())).hexdigest() def cvt2Dict(x): - tmp = {} - for key in x.keys(): - tmp[key] = x[key] - return tmp + tmp = {} + for key in x.keys(): + tmp[key] = x[key] + return tmp def dump_session(session_obj, filename): - "It seems mod python can only cPickle most basic data type" - import cPickle - session_file = open(filename, 'wb') - #try: - # pass - #except: - # pass - cPickle.dump(session_obj, session_file) - session_file.close() - + "It seems mod python can only cPickle most basic data type" + import cPickle + session_file = open(filename, 'wb') + #try: + # pass + #except: + # pass + cPickle.dump(session_obj, session_file) + session_file.close() + def StringAsFloat(str): - 'Converts string to float but catches any exception and returns None' - try: - return float(str) - except: - return None - + 'Converts string to float but catches any exception and returns None' + try: + return float(str) + except: + return None + def IntAsFloat(str): - 'Converts string to Int but catches any exception and returns None' - try: - return int(str) - except: - return None - + 'Converts string to Int but catches any exception and returns None' + try: + return int(str) + except: + return None + def FloatAsFloat(flt): - 'Converts float to string but catches any exception and returns None' - try: - return float("%2.3f" % flt) - except: - return None + 'Converts float to string but catches any exception and returns None' + try: + return float("%2.3f" % flt) + except: + return None def RemoveZero(flt): - 'Converts string to float but catches any exception and returns None' - try: - if abs(flt) < 1e-6: - return None - else: - return flt - except: - return None + 'Converts string to float but catches any exception and returns None' + try: + if abs(flt) < 1e-6: + return None + else: + return flt + except: + return None def SciFloat(d): - 'Converts string to float but catches any exception and returns None' + 'Converts string to float but catches any exception and returns None' - try: - if abs(d) <= 1.0e-4: - return "%1.2e" % d - else: - return "%1.5f" % d - except: - return None + try: + if abs(d) <= 1.0e-4: + return "%1.2e" % d + else: + return "%1.5f" % d + except: + return None ###To be removed def FloatList2String(lst): - 'Converts float list to string but catches any exception and returns None' - tt='' - try: - for item in lst: - if item == None: - tt += 'X ' - else: - tt += '%f ' % item - return tt - except: - return "" + 'Converts float list to string but catches any exception and returns None' + tt='' + try: + for item in lst: + if item == None: + tt += 'X ' + else: + tt += '%f ' % item + return tt + except: + return "" def ListNotNull(lst): - 'Determine if the elements in a list are all null' - for item in lst: - if item is not None: - return 1 - return None - + 'Determine if the elements in a list are all null' + for item in lst: + if item is not None: + return 1 + return None + ###To be removed def FileDataProcess(str): - 'Remove the description text from the input file if theres any' - i=0 - while i<len(str): - if str[i]<'\x7f' and str[i]>'\x20': - break - else: - i+=1 - str=str[i:] - str=string.join(string.split(str,'\000'),'') - i=string.find(str,"*****") - if i>-1: - return str[i+5:] - else: - return str + 'Remove the description text from the input file if theres any' + i=0 + while i<len(str): + if str[i]<'\x7f' and str[i]>'\x20': + break + else: + i+=1 + str=str[i:] + str=string.join(string.split(str,'\000'),'') + i=string.find(str,"*****") + if i>-1: + return str[i+5:] + else: + return str def rank(a,lst,offset=0): - """Calculate the integer rank of a number in an array, can be used to calculate p-value""" - n = len(lst) - if n == 2: - if a <lst[0]: - return offset - elif a > lst[1]: - return offset + 2 - else: - return offset +1 - elif n == 1: - if a <lst[0]: - return offset - else: - return offset +1 - elif n== 0: - return offset - else: - mid = n/2 - if a < lst[mid]: - return rank(a,lst[:mid-1],offset) - else: - return rank(a,lst[mid:],offset+mid) + """Calculate the integer rank of a number in an array, can be used to calculate p-value""" + n = len(lst) + if n == 2: + if a <lst[0]: + return offset + elif a > lst[1]: + return offset + 2 + else: + return offset +1 + elif n == 1: + if a <lst[0]: + return offset + else: + return offset +1 + elif n== 0: + return offset + else: + mid = n/2 + if a < lst[mid]: + return rank(a,lst[:mid-1],offset) + else: + return rank(a,lst[mid:],offset+mid) def cmpScanResult(A,B): - try: - if A.LRS > B.LRS: - return 1 - elif A.LRS == B.LRS: - return 0 - else: - return -1 - except: - return 0 - - + try: + if A.LRS > B.LRS: + return 1 + elif A.LRS == B.LRS: + return 0 + else: + return -1 + except: + return 0 + + def cmpScanResult2(A,B): - try: - if A.LRS < B.LRS: - return 1 - elif A.LRS == B.LRS: - return 0 - else: - return -1 - except: - return 0 + try: + if A.LRS < B.LRS: + return 1 + elif A.LRS == B.LRS: + return 0 + else: + return -1 + except: + return 0 def cmpOrder(A,B): - try: - if A[1] < B[1]: - return -1 - elif A[1] == B[1]: - return 0 - else: - return 1 - except: - return 0 + try: + if A[1] < B[1]: + return -1 + elif A[1] == B[1]: + return 0 + else: + return 1 + except: + return 0 def cmpOrder2(A,B): - try: - if A[-1] < B[-1]: - return -1 - elif A[-1] == B[-1]: - return 0 - else: - return 1 - except: - return 0 + try: + if A[-1] < B[-1]: + return -1 + elif A[-1] == B[-1]: + return 0 + else: + return 1 + except: + return 0 def calRank(xVals, yVals, N): ### Zach Sloan, February 4 2010 - """ - Returns a ranked set of X and Y values. These are used when generating - a Spearman scatterplot. Bear in mind that this sets values equal to each - other as the same rank. - """ - XX = [] - YY = [] - X = [0]*len(xVals) - Y = [0]*len(yVals) - j = 0 - - for i in range(len(xVals)): - - if xVals[i] != None and yVals[i] != None: - XX.append((j, xVals[i])) - YY.append((j, yVals[i])) - j = j + 1 - - NN = len(XX) - - XX.sort(cmpOrder2) - YY.sort(cmpOrder2) - - j = 1 - rank = 0.0 - - while j < NN: - - if XX[j][1] != XX[j-1][1]: - X[XX[j-1][0]] = j - j = j+1 - - else: - jt = j+1 - ji = j - for jt in range(j+1, NN): - if (XX[jt][1] != XX[j-1][1]): - break - rank = 0.5*(j+jt) - for ji in range(j-1, jt): - X[XX[ji][0]] = rank - if (jt == NN-1): - if (XX[jt][1] == XX[j-1][1]): - X[XX[NN-1][0]] = rank - j = jt+1 - - if j == NN: - if X[XX[NN-1][0]] == 0: - X[XX[NN-1][0]] = NN - - j = 1 - rank = 0.0 - - while j < NN: - - if YY[j][1] != YY[j-1][1]: - Y[YY[j-1][0]] = j - j = j+1 - else: - jt = j+1 - ji = j - for jt in range(j+1, NN): - if (YY[jt][1] != YY[j-1][1]): - break - rank = 0.5*(j+jt) - for ji in range(j-1, jt): - Y[YY[ji][0]] = rank - if (jt == NN-1): - if (YY[jt][1] == YY[j-1][1]): - Y[YY[NN-1][0]] = rank - j = jt+1 - - if j == NN: - if Y[YY[NN-1][0]] == 0: - Y[YY[NN-1][0]] = NN - - return (X,Y) + """ + Returns a ranked set of X and Y values. These are used when generating + a Spearman scatterplot. Bear in mind that this sets values equal to each + other as the same rank. + """ + XX = [] + YY = [] + X = [0]*len(xVals) + Y = [0]*len(yVals) + j = 0 + + for i in range(len(xVals)): + + if xVals[i] != None and yVals[i] != None: + XX.append((j, xVals[i])) + YY.append((j, yVals[i])) + j = j + 1 + + NN = len(XX) + + XX.sort(cmpOrder2) + YY.sort(cmpOrder2) + + j = 1 + rank = 0.0 + + while j < NN: + + if XX[j][1] != XX[j-1][1]: + X[XX[j-1][0]] = j + j = j+1 + + else: + jt = j+1 + ji = j + for jt in range(j+1, NN): + if (XX[jt][1] != XX[j-1][1]): + break + rank = 0.5*(j+jt) + for ji in range(j-1, jt): + X[XX[ji][0]] = rank + if (jt == NN-1): + if (XX[jt][1] == XX[j-1][1]): + X[XX[NN-1][0]] = rank + j = jt+1 + + if j == NN: + if X[XX[NN-1][0]] == 0: + X[XX[NN-1][0]] = NN + + j = 1 + rank = 0.0 + + while j < NN: + + if YY[j][1] != YY[j-1][1]: + Y[YY[j-1][0]] = j + j = j+1 + else: + jt = j+1 + ji = j + for jt in range(j+1, NN): + if (YY[jt][1] != YY[j-1][1]): + break + rank = 0.5*(j+jt) + for ji in range(j-1, jt): + Y[YY[ji][0]] = rank + if (jt == NN-1): + if (YY[jt][1] == YY[j-1][1]): + Y[YY[NN-1][0]] = rank + j = jt+1 + + if j == NN: + if Y[YY[NN-1][0]] == 0: + Y[YY[NN-1][0]] = NN + + return (X,Y) def calCorrelationRank(xVals,yVals,N): - """ - Calculated Spearman Ranked Correlation. The algorithm works - by setting all tied ranks to the average of those ranks (for - example, if ranks 5-10 all have the same value, each will be set - to rank 7.5). - """ - - XX = [] - YY = [] - j = 0 - - for i in range(len(xVals)): - if xVals[i]!= None and yVals[i]!= None: - XX.append((j,xVals[i])) - YY.append((j,yVals[i])) - j = j+1 - - NN = len(XX) - if NN <6: - return (0.0,NN) - XX.sort(cmpOrder2) - YY.sort(cmpOrder2) - X = [0]*NN - Y = [0]*NN - - j = 1 - rank = 0.0 - t = 0.0 - sx = 0.0 - - while j < NN: - - if XX[j][1] != XX[j-1][1]: - X[XX[j-1][0]] = j - j = j+1 - - else: - jt = j+1 - ji = j - for jt in range(j+1, NN): - if (XX[jt][1] != XX[j-1][1]): - break - rank = 0.5*(j+jt) - for ji in range(j-1, jt): - X[XX[ji][0]] = rank - t = jt-j - sx = sx + (t*t*t-t) - if (jt == NN-1): - if (XX[jt][1] == XX[j-1][1]): - X[XX[NN-1][0]] = rank - j = jt+1 - - if j == NN: - if X[XX[NN-1][0]] == 0: - X[XX[NN-1][0]] = NN - - j = 1 - rank = 0.0 - t = 0.0 - sy = 0.0 - - while j < NN: - - if YY[j][1] != YY[j-1][1]: - Y[YY[j-1][0]] = j - j = j+1 - else: - jt = j+1 - ji = j - for jt in range(j+1, NN): - if (YY[jt][1] != YY[j-1][1]): - break - rank = 0.5*(j+jt) - for ji in range(j-1, jt): - Y[YY[ji][0]] = rank - t = jt - j - sy = sy + (t*t*t-t) - if (jt == NN-1): - if (YY[jt][1] == YY[j-1][1]): - Y[YY[NN-1][0]] = rank - j = jt+1 - - if j == NN: - if Y[YY[NN-1][0]] == 0: - Y[YY[NN-1][0]] = NN - - D = 0.0 - - for i in range(NN): - D += (X[i]-Y[i])*(X[i]-Y[i]) - - fac = (1.0 -sx/(NN*NN*NN-NN))*(1.0-sy/(NN*NN*NN-NN)) - - return ((1-(6.0/(NN*NN*NN-NN))*(D+(sx+sy)/12.0))/math.sqrt(fac),NN) - - + """ + Calculated Spearman Ranked Correlation. The algorithm works + by setting all tied ranks to the average of those ranks (for + example, if ranks 5-10 all have the same value, each will be set + to rank 7.5). + """ + + XX = [] + YY = [] + j = 0 + + for i in range(len(xVals)): + if xVals[i]!= None and yVals[i]!= None: + XX.append((j,xVals[i])) + YY.append((j,yVals[i])) + j = j+1 + + NN = len(XX) + if NN <6: + return (0.0,NN) + XX.sort(cmpOrder2) + YY.sort(cmpOrder2) + X = [0]*NN + Y = [0]*NN + + j = 1 + rank = 0.0 + t = 0.0 + sx = 0.0 + + while j < NN: + + if XX[j][1] != XX[j-1][1]: + X[XX[j-1][0]] = j + j = j+1 + + else: + jt = j+1 + ji = j + for jt in range(j+1, NN): + if (XX[jt][1] != XX[j-1][1]): + break + rank = 0.5*(j+jt) + for ji in range(j-1, jt): + X[XX[ji][0]] = rank + t = jt-j + sx = sx + (t*t*t-t) + if (jt == NN-1): + if (XX[jt][1] == XX[j-1][1]): + X[XX[NN-1][0]] = rank + j = jt+1 + + if j == NN: + if X[XX[NN-1][0]] == 0: + X[XX[NN-1][0]] = NN + + j = 1 + rank = 0.0 + t = 0.0 + sy = 0.0 + + while j < NN: + + if YY[j][1] != YY[j-1][1]: + Y[YY[j-1][0]] = j + j = j+1 + else: + jt = j+1 + ji = j + for jt in range(j+1, NN): + if (YY[jt][1] != YY[j-1][1]): + break + rank = 0.5*(j+jt) + for ji in range(j-1, jt): + Y[YY[ji][0]] = rank + t = jt - j + sy = sy + (t*t*t-t) + if (jt == NN-1): + if (YY[jt][1] == YY[j-1][1]): + Y[YY[NN-1][0]] = rank + j = jt+1 + + if j == NN: + if Y[YY[NN-1][0]] == 0: + Y[YY[NN-1][0]] = NN + + D = 0.0 + + for i in range(NN): + D += (X[i]-Y[i])*(X[i]-Y[i]) + + fac = (1.0 -sx/(NN*NN*NN-NN))*(1.0-sy/(NN*NN*NN-NN)) + + return ((1-(6.0/(NN*NN*NN-NN))*(D+(sx+sy)/12.0))/math.sqrt(fac),NN) + + def calCorrelationRankText(dbdata,userdata,N): ### dcrowell = David Crowell, July 2008 - """Calculates correlation ranks with data formatted from the text file. - dbdata, userdata are lists of strings. N is an int. Returns a float. - Used by correlationPage""" - XX = [] - YY = [] - j = 0 - for i in range(N): - if (dbdata[i]!= None and userdata[i]!=None) and (dbdata[i]!= 'None' and userdata[i]!='None'): - XX.append((j,float(dbdata[i]))) - YY.append((j,float(userdata[i]))) - j += 1 - NN = len(XX) - if NN <6: - return (0.0,NN) - XX.sort(cmpOrder2) - YY.sort(cmpOrder2) - X = [0]*NN - Y = [0]*NN - - j = 1 - rank = 0.0 - t = 0.0 - sx = 0.0 - - while j < NN: - - if XX[j][1] != XX[j-1][1]: - X[XX[j-1][0]] = j - j = j+1 - - else: - jt = j+1 - ji = j - for jt in range(j+1, NN): - if (XX[jt][1] != XX[j-1][1]): - break - rank = 0.5*(j+jt) - for ji in range(j-1, jt): - X[XX[ji][0]] = rank - t = jt-j - sx = sx + (t*t*t-t) - if (jt == NN-1): - if (XX[jt][1] == XX[j-1][1]): - X[XX[NN-1][0]] = rank - j = jt+1 - - if j == NN: - if X[XX[NN-1][0]] == 0: - X[XX[NN-1][0]] = NN - - j = 1 - rank = 0.0 - t = 0.0 - sy = 0.0 - - while j < NN: - - if YY[j][1] != YY[j-1][1]: - Y[YY[j-1][0]] = j - j = j+1 - else: - jt = j+1 - ji = j - for jt in range(j+1, NN): - if (YY[jt][1] != YY[j-1][1]): - break - rank = 0.5*(j+jt) - for ji in range(j-1, jt): - Y[YY[ji][0]] = rank - t = jt - j - sy = sy + (t*t*t-t) - if (jt == NN-1): - if (YY[jt][1] == YY[j-1][1]): - Y[YY[NN-1][0]] = rank - j = jt+1 - - if j == NN: - if Y[YY[NN-1][0]] == 0: - Y[YY[NN-1][0]] = NN - - D = 0.0 - - for i in range(NN): - D += (X[i]-Y[i])*(X[i]-Y[i]) - - fac = (1.0 -sx/(NN*NN*NN-NN))*(1.0-sy/(NN*NN*NN-NN)) - - return ((1-(6.0/(NN*NN*NN-NN))*(D+(sx+sy)/12.0))/math.sqrt(fac),NN) + """Calculates correlation ranks with data formatted from the text file. + dbdata, userdata are lists of strings. N is an int. Returns a float. + Used by correlationPage""" + XX = [] + YY = [] + j = 0 + for i in range(N): + if (dbdata[i]!= None and userdata[i]!=None) and (dbdata[i]!= 'None' and userdata[i]!='None'): + XX.append((j,float(dbdata[i]))) + YY.append((j,float(userdata[i]))) + j += 1 + NN = len(XX) + if NN <6: + return (0.0,NN) + XX.sort(cmpOrder2) + YY.sort(cmpOrder2) + X = [0]*NN + Y = [0]*NN + + j = 1 + rank = 0.0 + t = 0.0 + sx = 0.0 + + while j < NN: + + if XX[j][1] != XX[j-1][1]: + X[XX[j-1][0]] = j + j = j+1 + + else: + jt = j+1 + ji = j + for jt in range(j+1, NN): + if (XX[jt][1] != XX[j-1][1]): + break + rank = 0.5*(j+jt) + for ji in range(j-1, jt): + X[XX[ji][0]] = rank + t = jt-j + sx = sx + (t*t*t-t) + if (jt == NN-1): + if (XX[jt][1] == XX[j-1][1]): + X[XX[NN-1][0]] = rank + j = jt+1 + + if j == NN: + if X[XX[NN-1][0]] == 0: + X[XX[NN-1][0]] = NN + + j = 1 + rank = 0.0 + t = 0.0 + sy = 0.0 + + while j < NN: + + if YY[j][1] != YY[j-1][1]: + Y[YY[j-1][0]] = j + j = j+1 + else: + jt = j+1 + ji = j + for jt in range(j+1, NN): + if (YY[jt][1] != YY[j-1][1]): + break + rank = 0.5*(j+jt) + for ji in range(j-1, jt): + Y[YY[ji][0]] = rank + t = jt - j + sy = sy + (t*t*t-t) + if (jt == NN-1): + if (YY[jt][1] == YY[j-1][1]): + Y[YY[NN-1][0]] = rank + j = jt+1 + + if j == NN: + if Y[YY[NN-1][0]] == 0: + Y[YY[NN-1][0]] = NN + + D = 0.0 + + for i in range(NN): + D += (X[i]-Y[i])*(X[i]-Y[i]) + + fac = (1.0 -sx/(NN*NN*NN-NN))*(1.0-sy/(NN*NN*NN-NN)) + + return ((1-(6.0/(NN*NN*NN-NN))*(D+(sx+sy)/12.0))/math.sqrt(fac),NN) def calCorrelation(dbdata,userdata,N): - X = [] - Y = [] - for i in range(N): - if dbdata[i]!= None and userdata[i]!= None: - X.append(dbdata[i]) - Y.append(userdata[i]) - NN = len(X) - if NN <6: - return (0.0,NN) - sx = reduce(lambda x,y:x+y,X,0.0) - sy = reduce(lambda x,y:x+y,Y,0.0) - meanx = sx/NN - meany = sy/NN - xyd = 0.0 - sxd = 0.0 - syd = 0.0 - for i in range(NN): - xyd += (X[i] - meanx)*(Y[i]-meany) - sxd += (X[i] - meanx)*(X[i] - meanx) - syd += (Y[i] - meany)*(Y[i] - meany) - try: - corr = xyd/(sqrt(sxd)*sqrt(syd)) - except: - corr = 0 - return (corr,NN) + X = [] + Y = [] + for i in range(N): + if dbdata[i]!= None and userdata[i]!= None: + X.append(dbdata[i]) + Y.append(userdata[i]) + NN = len(X) + if NN <6: + return (0.0,NN) + sx = reduce(lambda x,y:x+y,X,0.0) + sy = reduce(lambda x,y:x+y,Y,0.0) + meanx = sx/NN + meany = sy/NN + xyd = 0.0 + sxd = 0.0 + syd = 0.0 + for i in range(NN): + xyd += (X[i] - meanx)*(Y[i]-meany) + sxd += (X[i] - meanx)*(X[i] - meanx) + syd += (Y[i] - meany)*(Y[i] - meany) + try: + corr = xyd/(sqrt(sxd)*sqrt(syd)) + except: + corr = 0 + return (corr,NN) def calCorrelationText(dbdata,userdata,N): ### dcrowell July 2008 - """Calculates correlation coefficients with values formatted from text files. dbdata, userdata are lists of strings. N is an int. Returns a float - Used by correlationPage""" - X = [] - Y = [] - for i in range(N): - #if (dbdata[i]!= None and userdata[i]!= None) and (dbdata[i]!= 'None' and userdata[i]!= 'None'): - # X.append(float(dbdata[i])) - # Y.append(float(userdata[i])) - if dbdata[i] == None or dbdata[i] == 'None' or userdata[i] == None or userdata[i] == 'None': - continue - else: - X.append(float(dbdata[i])) - Y.append(float(userdata[i])) - NN = len(X) - if NN <6: - return (0.0,NN) - sx = sum(X) - sy = sum(Y) - meanx = sx/float(NN) - meany = sy/float(NN) - xyd = 0.0 - sxd = 0.0 - syd = 0.0 - for i in range(NN): - x1 = X[i]-meanx - y1 = Y[i]-meany - xyd += x1*y1 - sxd += x1**2 - syd += y1**2 - try: - corr = xyd/(sqrt(sxd)*sqrt(syd)) - except: - corr = 0 - return (corr,NN) + """Calculates correlation coefficients with values formatted from text files. dbdata, userdata are lists of strings. N is an int. Returns a float + Used by correlationPage""" + X = [] + Y = [] + for i in range(N): + #if (dbdata[i]!= None and userdata[i]!= None) and (dbdata[i]!= 'None' and userdata[i]!= 'None'): + # X.append(float(dbdata[i])) + # Y.append(float(userdata[i])) + if dbdata[i] == None or dbdata[i] == 'None' or userdata[i] == None or userdata[i] == 'None': + continue + else: + X.append(float(dbdata[i])) + Y.append(float(userdata[i])) + NN = len(X) + if NN <6: + return (0.0,NN) + sx = sum(X) + sy = sum(Y) + meanx = sx/float(NN) + meany = sy/float(NN) + xyd = 0.0 + sxd = 0.0 + syd = 0.0 + for i in range(NN): + x1 = X[i]-meanx + y1 = Y[i]-meany + xyd += x1*y1 + sxd += x1**2 + syd += y1**2 + try: + corr = xyd/(sqrt(sxd)*sqrt(syd)) + except: + corr = 0 + return (corr,NN) def readLineCSV(line): ### dcrowell July 2008 - """Parses a CSV string of text and returns a list containing each element as a string. - Used by correlationPage""" - returnList = line.split('","') - returnList[-1]=returnList[-1][:-2] - returnList[0]=returnList[0][1:] - return returnList + """Parses a CSV string of text and returns a list containing each element as a string. + Used by correlationPage""" + returnList = line.split('","') + returnList[-1]=returnList[-1][:-2] + returnList[0]=returnList[0][1:] + return returnList def cmpCorr(A,B): - try: - if abs(A[1]) < abs(B[1]): - return 1 - elif abs(A[1]) == abs(B[1]): - return 0 - else: - return -1 - except: - return 0 + try: + if abs(A[1]) < abs(B[1]): + return 1 + elif abs(A[1]) == abs(B[1]): + return 0 + else: + return -1 + except: + return 0 def cmpLitCorr(A,B): - try: - if abs(A[3]) < abs(B[3]): return 1 - elif abs(A[3]) == abs(B[3]): - if abs(A[1]) < abs(B[1]): return 1 - elif abs(A[1]) == abs(B[1]): return 0 - else: return -1 - else: return -1 - except: - return 0 + try: + if abs(A[3]) < abs(B[3]): return 1 + elif abs(A[3]) == abs(B[3]): + if abs(A[1]) < abs(B[1]): return 1 + elif abs(A[1]) == abs(B[1]): return 0 + else: return -1 + else: return -1 + except: + return 0 def cmpPValue(A,B): - try: - if A.corrPValue < B.corrPValue: - return -1 - elif A.corrPValue == B.corrPValue: - if abs(A.corr) > abs(B.corr): - return -1 - elif abs(A.corr) < abs(B.corr): - return 1 - else: - return 0 - else: - return 1 - except: - return 0 + try: + if A.corrPValue < B.corrPValue: + return -1 + elif A.corrPValue == B.corrPValue: + if abs(A.corr) > abs(B.corr): + return -1 + elif abs(A.corr) < abs(B.corr): + return 1 + else: + return 0 + else: + return 1 + except: + return 0 def cmpEigenValue(A,B): - try: - if A[0] > B[0]: - return -1 - elif A[0] == B[0]: - return 0 - else: - return 1 - except: - return 0 + try: + if A[0] > B[0]: + return -1 + elif A[0] == B[0]: + return 0 + else: + return 1 + except: + return 0 def cmpLRSFull(A,B): - try: - if A[0] < B[0]: - return -1 - elif A[0] == B[0]: - return 0 - else: - return 1 - except: - return 0 + try: + if A[0] < B[0]: + return -1 + elif A[0] == B[0]: + return 0 + else: + return 1 + except: + return 0 def cmpLRSInteract(A,B): - try: - if A[1] < B[1]: - return -1 - elif A[1] == B[1]: - return 0 - else: - return 1 - except: - return 0 - - + try: + if A[1] < B[1]: + return -1 + elif A[1] == B[1]: + return 0 + else: + return 1 + except: + return 0 + + def cmpPos(A,B): - try: - try: - AChr = int(A.chr) - except: - AChr = 20 - try: - BChr = int(B.chr) - except: - BChr = 20 - if AChr > BChr: - return 1 - elif AChr == BChr: - if A.mb > B.mb: - return 1 - if A.mb == B.mb: - return 0 - else: - return -1 - else: - return -1 - except: - return 0 - + try: + try: + AChr = int(A.chr) + except: + AChr = 20 + try: + BChr = int(B.chr) + except: + BChr = 20 + if AChr > BChr: + return 1 + elif AChr == BChr: + if A.mb > B.mb: + return 1 + if A.mb == B.mb: + return 0 + else: + return -1 + else: + return -1 + except: + return 0 + def cmpGenoPos(A,B): - try: - A1 = A.chr - B1 = B.chr - try: - A1 = int(A1) - except: - A1 = 25 - try: - B1 = int(B1) - except: - B1 = 25 - if A1 > B1: - return 1 - elif A1 == B1: - if A.mb > B.mb: - return 1 - if A.mb == B.mb: - return 0 - else: - return -1 - else: - return -1 - except: - return 0 + try: + A1 = A.chr + B1 = B.chr + try: + A1 = int(A1) + except: + A1 = 25 + try: + B1 = int(B1) + except: + B1 = 25 + if A1 > B1: + return 1 + elif A1 == B1: + if A.mb > B.mb: + return 1 + if A.mb == B.mb: + return 0 + else: + return -1 + else: + return -1 + except: + return 0 #XZhou: Must use "BINARY" to enable case sensitive comparison. def authUser(name,password,db, encrypt=None): - try: - if encrypt: - query = 'SELECT privilege, id,name,password, grpName FROM User WHERE name= BINARY \'%s\' and password= BINARY \'%s\'' % (name,password) - else: - query = 'SELECT privilege, id,name,password, grpName FROM User WHERE name= BINARY \'%s\' and password= BINARY SHA(\'%s\')' % (name,password) - db.execute(query) - records = db.fetchone() - if not records: - raise ValueError - return records#(privilege,id,name,password,grpName) - except: - return (None, None, None, None, None) + try: + if encrypt: + query = 'SELECT privilege, id,name,password, grpName FROM User WHERE name= BINARY \'%s\' and password= BINARY \'%s\'' % (name,password) + else: + query = 'SELECT privilege, id,name,password, grpName FROM User WHERE name= BINARY \'%s\' and password= BINARY SHA(\'%s\')' % (name,password) + db.execute(query) + records = db.fetchone() + if not records: + raise ValueError + return records#(privilege,id,name,password,grpName) + except: + return (None, None, None, None, None) def hasAccessToConfidentialPhenotypeTrait(privilege, userName, authorized_users): @@ -840,9 +840,9 @@ def hasAccessToConfidentialPhenotypeTrait(privilege, userName, authorized_users) class VisualizeException(Exception): def __init__(self, message): - self.message = message + self.message = message def __str__(self): - return self.message + return self.message # safeConvert : (string -> A) -> A -> A # to convert a string to type A, using the supplied default value @@ -852,12 +852,12 @@ def safeConvert(f, value, default): return f(value) except: return default - + # safeFloat : string -> float -> float # to convert a string to a float safely def safeFloat(value, default): return safeConvert(float, value, default) - + # safeInt: string -> int -> int # to convert a string to an int safely def safeInt(value, default): @@ -878,7 +878,7 @@ def yesNoToInt(value): if value == "yes": return 1 elif value == "no": - return 0 + return 0 else: return None @@ -890,79 +890,79 @@ def intToYesNo(value): elif value == 0: return "no" else: - return None - + return None + def formatField(name): - name = name.replace("_", " ") - name = name.title() - #name = name.replace("Mb Mm6", "Mb"); - return name.replace("Id", "ID") + name = name.replace("_", " ") + name = name.title() + #name = name.replace("Mb Mm6", "Mb"); + return name.replace("Id", "ID") #XZ, 03/27/2009: This function is very specific. #It is used by AJAX_table.py, correlationPage.py and dataPage.py def genTableObj(tblobj=None, file="", sortby = ("", ""), tableID = "sortable", addIndex = "1", hiddenColumns=[]): - header = tblobj['header'] - body = tblobj['body'] - field, order = sortby - - #ZAS 9/12/2011 - The hiddenColumns array needs to be converted into a string so they can be placed into the javascript of each up/down button - hiddenColumnsString = ",".join(hiddenColumns) - - tbl = HT.TableLite(Class="collap b2", cellspacing=1, cellpadding=5) - - hiddenColumnIdx = [] #indices of columns to hide - idx = -1 - last_idx = 0 #ZS: This is the index of the last item in the regular table header (without any extra parameters). It is used to determine the index of each extra parameter. - for row in header: - hr = HT.TR() - for i, item in enumerate(row): - if (item.text == '') or (item.text not in hiddenColumns): - if item.sort and item.text: - down = HT.Href("javascript:xmlhttpPost('%smain.py?FormID=AJAX_table', '%s', 'sort=%s&order=down&file=%s&tableID=%s&addIndex=%s&hiddenColumns=%s')" % (webqtlConfig.CGIDIR, tableID, item.text, file, tableID, addIndex, hiddenColumnsString),IMGDESC) - up = HT.Href("javascript:xmlhttpPost('%smain.py?FormID=AJAX_table', '%s', 'sort=%s&order=up&file=%s&tableID=%s&addIndex=%s&hiddenColumns=%s')" % (webqtlConfig.CGIDIR, tableID, item.text, file, tableID, addIndex, hiddenColumnsString),IMGASC) - if item.text == field: - idx = item.idx - last_idx = idx - if order == 'up': - up = IMGASCON - elif order == 'down': - down = IMGDESCON - item.html.append(HT.Div(up, down, style="float: bottom;")) - hr.append(item.html) - else: - hiddenColumnIdx.append(i) - tbl.append(hr) - - for i, row in enumerate(body): - for j, item in enumerate(row): - if order == 'down': - if (item.val == '' or item.val == 'x' or item.val == 'None'): - item.val = 0 - if order == 'up': - if (item.val == '' or item.val == 'x' or item.val == 'None'): - item.val = 'zzzzz' - - if idx >= 0: - if order == 'down': - body.sort(lambda A, B: cmp(B[idx].val, A[idx].val), key=natsort_key) - elif order == 'up': - body.sort(lambda A, B: cmp(A[idx].val, B[idx].val), key=natsort_key) - else: - pass - - for i, row in enumerate(body): - hr = HT.TR(Id = row[0].text) - for j, item in enumerate(row): - if (j not in hiddenColumnIdx): - if j == 0: - if addIndex == "1": - item.html.contents = [i+1] + item.html.contents - hr.append(item.html) - tbl.append(hr) - - return tbl + header = tblobj['header'] + body = tblobj['body'] + field, order = sortby + + #ZAS 9/12/2011 - The hiddenColumns array needs to be converted into a string so they can be placed into the javascript of each up/down button + hiddenColumnsString = ",".join(hiddenColumns) + + tbl = HT.TableLite(Class="collap b2", cellspacing=1, cellpadding=5) + + hiddenColumnIdx = [] #indices of columns to hide + idx = -1 + last_idx = 0 #ZS: This is the index of the last item in the regular table header (without any extra parameters). It is used to determine the index of each extra parameter. + for row in header: + hr = HT.TR() + for i, item in enumerate(row): + if (item.text == '') or (item.text not in hiddenColumns): + if item.sort and item.text: + down = HT.Href("javascript:xmlhttpPost('%smain.py?FormID=AJAX_table', '%s', 'sort=%s&order=down&file=%s&tableID=%s&addIndex=%s&hiddenColumns=%s')" % (webqtlConfig.CGIDIR, tableID, item.text, file, tableID, addIndex, hiddenColumnsString),IMGDESC) + up = HT.Href("javascript:xmlhttpPost('%smain.py?FormID=AJAX_table', '%s', 'sort=%s&order=up&file=%s&tableID=%s&addIndex=%s&hiddenColumns=%s')" % (webqtlConfig.CGIDIR, tableID, item.text, file, tableID, addIndex, hiddenColumnsString),IMGASC) + if item.text == field: + idx = item.idx + last_idx = idx + if order == 'up': + up = IMGASCON + elif order == 'down': + down = IMGDESCON + item.html.append(HT.Div(up, down, style="float: bottom;")) + hr.append(item.html) + else: + hiddenColumnIdx.append(i) + tbl.append(hr) + + for i, row in enumerate(body): + for j, item in enumerate(row): + if order == 'down': + if (item.val == '' or item.val == 'x' or item.val == 'None'): + item.val = 0 + if order == 'up': + if (item.val == '' or item.val == 'x' or item.val == 'None'): + item.val = 'zzzzz' + + if idx >= 0: + if order == 'down': + body.sort(lambda A, B: cmp(B[idx].val, A[idx].val), key=natsort_key) + elif order == 'up': + body.sort(lambda A, B: cmp(A[idx].val, B[idx].val), key=natsort_key) + else: + pass + + for i, row in enumerate(body): + hr = HT.TR(Id = row[0].text) + for j, item in enumerate(row): + if (j not in hiddenColumnIdx): + if j == 0: + if addIndex == "1": + item.html.contents = [i+1] + item.html.contents + hr.append(item.html) + tbl.append(hr) + + return tbl def natsort_key(string): r = [] @@ -974,4 +974,3 @@ def natsort_key(string): except: r.append(c) return r - |