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How to use sub_method method in autopy

Best Python code snippet using autopy

filterStatPandaMatrixByGroup.py

Source:filterStatPandaMatrixByGroup.py

1#!/usr/bin/env python2# -*- coding: utf-8 -*-3#from __future__ import unicode_literals4from __future__ import division, with_statement5'''6Copyright 2015, éå (chentong_biology@163.com).  7===========================================================8'''9__author__ = 'chentong & ct586[9]'10__author_email__ = 'chentong_biology@163.com'11#=========================================================12desc = '''13Program description:14    This is designed to extract part rows by given group, such as top 10 variable items in each group. 15'''16import sys17import os18from json import dumps as json_dumps19from time import localtime, strftime 20timeformat = "%Y-%m-%d %H:%M:%S"21from optparse import OptionParser as OP22import pandas as pd23import re24#from multiprocessing.dummy import Pool as ThreadPool25#from bs4 import BeautifulSoup26#reload(sys)27#sys.setdefaultencoding('utf8')28debug = 029def isfloat(x):30    try:31        a = float(x)32    except ValueError:33        return Fslse34    else:35        return True36#---------------------------------37def isint(x):38    try:39        a = float(x)40        b = int(a)41    except ValueError:42        return False43    else:44        return a == b45#-------------------------------------46def fprint(content):47    """ 48    This is a Google style docs.49    Args:50        param1(str): this is the first param51        param2(int, optional): this is a second param52            53    Returns:54        bool: This is a description of what is returned55            56    Raises:57        KeyError: raises an exception))58    """59    print json_dumps(content,indent=1)60def cmdparameter(argv):61    if len(argv) == 1:62        global desc63        print >>sys.stderr, desc64        cmd = 'python ' + argv[0] + ' -h'65        os.system(cmd)66        sys.exit(1)67    usages = "%prog -i file"68    parser = OP(usage=usages)69    parser.add_option("-i", "--input-file", dest="filein",70        metavar="FILEIN", help="A numerical matrix file")71    parser.add_option("-T", "--transpose-data", dest="transpose",72        default=False, action="store_true", 73        help="Transpose data before doing all stats, meaning doing all stats for columns.")74    parser.add_option("-H", "--header", dest="header",75        default=0, type='int', help="An integer to specify the header line. Default <O> represents using first line as header line. Give <-1> to specify no header line." )76    parser.add_option("-r", "--index-col", dest="index_col",77        default='0', help="Column to use as the row labels of the DataFrame (Default 0 represents the first column). If a sequence like <0,1,2> is given, a MultiIndex will be used. Supply <None> to turn off index_col. All none numerical columns should be used as index.")78    parser.add_option("-g", "--group-col", dest="group_col",79        help="The column name used for grouping. Normally this column should be used as index also.")80    parser.add_option("-c", "--usecols", dest="usecols",81        default="None", help="Return a subset of the columns. All elements in this array must either \82be positional (i.e. integer indices into the document columns) or strings \83that correspond to column names provided either by the user in `names` or \84inferred from the document header row(s). For example,  a valid `usecols` \85parameter would be <0,1,2> or <foo,bar,baz>. Using this parameter \86results in much faster parsing time and lower memory usage. \87*******One important note, <index_col> should be also included in <usecols>. \88Default <None> to read in all columns.")89    #parser.add_option("-n", "--rename_cols", dest="rename_cols",90    #    default="infer", help="Rename columns before merging. If only one column is \91#extracted (excluding row index), column name will be renamed with <file_label>; \92#If more than one columns are extracted, column names will be renamed with <file_label_original_name>. \93#If a list of names are given when extracting multiple columns, \94#column names will be renamed with <file_label_given_name>.\95#Supply <None> to disable rename.")96    parser.add_option("-m", "--method", dest="method",97        help="One or a list of statistics to be computed for each row, like <mad,std,mean,sum,median,min,max,var,skew,kurt,>")98    parser.add_option("-s", "--sort-values", dest="sort_values",99        help="One or a list of statistics to be used for sorting. Default using values given to <-m>.")100    parser.add_option("-a", "--ascending", dest="ascending",101        default=False, action="store_true", 102        help="Sort ascending vs. descending (default).")103    parser.add_option("-t", "--top", dest="top",104        default='10', 105        help="Screen given number of top items or given percentage of top items. Default 10 for each group.")106    parser.add_option("-O", "--statistics-only", dest="statistics_only", 107        default=False, action="store_true", help="[Uppercase O] Default output original matrix combined with computed statistics. Specify to output only computed statistics result.")108    parser.add_option("-o", "--outputfile", dest="output",109        help="[Lowercase o] Output file prefix. Default input file with suffix <.xls, .tsv, .csv, .txt removed if exists>. A suffix <xls.gz> will be added.")110    parser.add_option("-u", "--uncompressed", dest="uncompressed",111        default=False, action="store_true", help="Default output gzipped file. Specify to output uncompressed result.")112    parser.add_option("-v", "--verbose", dest="verbose",113        action="store_true", help="Show process information")114    parser.add_option("-D", "--debug", dest="debug",115        default=False, action="store_true", help="Debug the program")116    (options, args) = parser.parse_args(argv[1:])117    assert options.filein != None, "A filename needed for -i"118    return (options, args)119#--------------------------------------------------------------------120def main():121    options, args = cmdparameter(sys.argv)122    #-----------------------------------123    file = options.filein124    transpose = options.transpose125    statistics_only = options.statistics_only126    group_col = options.group_col127    #fileL = re.split(r'[, ]*', file.strip())128    #if options.rename_cols != "None":129    #    label = options.label130    #    labelL = re.split(r'[, ]*', label.strip())131    #else:132    #    labelL = fileL133    header = options.header134    if header == -1:135        header = 'None'136    index_col = options.index_col.strip()137    if index_col != "None":138        index_col = [int(i) for i in re.split(r'[, ]*', index_col)]139    else:140        index_col = None141    #-----------------------------------------------------142    usecols = options.usecols143    #print >>sys.stderr, usecols144    if usecols != "None":145        usecols = usecols.split(',')146        usecols_2 = [int(i) for i in usecols if i.isdigit()]147        if len(usecols_2) == len(usecols):148            usecols = usecols_2149    else:150        usecols = None151    #print >>sys.stderr, usecols152    #---------------------------------------------------------153    #rename_cols = options.rename_cols154    #if rename_cols not in ["infer", "None"]:155    #    rename_cols = re.split(r'[, ]*', rename_cols.strip())156    methodD = {"mad":1,"std":1,"mean":1,"sum":1,"median":1,157            "min":1,"max":1,"var":1,"skew":1,"kurt":1}158    method = options.method159    assert method, "-m/--method is missing"160    methods = re.split(r'[, ]*', method.strip())161    for i in methods:162        assert i in methodD, sys.exit("Un-supproted method "+i)163    #--------------------164    sort_values = options.sort_values165    if sort_values:166        sort_values = re.split(r'[, ]*', sort_values.strip())167    else:168        sort_values = methods169    #--------------------------------------------------170    ascending = options.ascending171    uncompressed = options.uncompressed172    if not options.output:173        suffix = ['xls', 'tsv', 'csv', 'txt']174        if file.find('.') != -1:175            file_name, suf = file.rsplit('.', 1)176            if suf not in suffix:177                file_name = file178        else:179            file_name = file180        output = file_name181    else:182        output = options.output183    output += '.' + '_'.join(methods)184    assert output, "-o/--outputfile should be supplied."185    verbose = options.verbose186    top = options.top187    global debug188    debug = options.debug189    #-----------------------------------190    matrix = pd.read_table(file, header=header, index_col=index_col, usecols=usecols)191    total_line = matrix.shape[0]192    if transpose:193        matrix = matrix.T194    matrix.index.name = "ID"195    statL = []196    for sub_method in methods:197        if sub_method == "mad":198            stat = matrix.mad(axis=1).to_frame(sub_method)199        elif sub_method == "std":200            stat = matrix.std(axis=1).to_frame(sub_method)201        elif sub_method == "mean":202            stat = matrix.mean(axis=1).to_frame(sub_method)203        elif sub_method == "sum":204            stat = matrix.sum(axis=1).to_frame(sub_method)205        elif sub_method == "median":206            stat = matrix.median(axis=1).to_frame(sub_method)207        elif sub_method == "min":208            stat = matrix.min(axis=1).to_frame(sub_method)209        elif sub_method == "max":210            stat = matrix.max(axis=1).to_frame(sub_method)211        elif sub_method == "var":212            stat = matrix.var(axis=1).to_frame(sub_method)213        elif sub_method == "skew":214            stat = matrix.skew(axis=1).to_frame(sub_method)215        elif sub_method == "kurt":216            stat = matrix.kurt(axis=1).to_frame(sub_method)217        else:218            assert 1==0, "%s unknown method" % sub_method219            continue220        statL.append(stat)221    #--------------------------------------------------------222    if statistics_only:223        matrix = statL[0].join(statL[1:])224    else:225        matrix = matrix.join(statL)226    matrix.sort_values(by=methods, axis=0, ascending=ascending, inplace=True)227    matrix.reset_index(inplace=True)228    if uncompressed:229        full = output + '.xls'230        matrix.to_csv(full, sep=b"\t")231    else:232        full = output + '.xls.gz'233        matrix.to_csv(full, sep=b"\t", compression='gzip')234    if top:235        top_old = top236        top = float(top)237        if top < 1:238            top = top * total_line239        top = int(top)240        #if top >= total_line:241        #    if uncompressed:242        #        file = output+'.xls'243        #        top  = output+'.'+str(top)+'.xls'244        #    else:245        #        file = output+'.xls.gz'246        #        top  = output+'.'+str(top)+'.xls.gz'247        #    path_name, file_name = os.path.split(file)248        #    path_name, top_name = os.path.split(top)249        #    os.system("(cd {}; ln -sf {} {})".format(path_name, file_name, top_name))250        #    return251        if statistics_only:252            #matrix = matrix[0:top]253            matrix = matrix.groupby(group_col).head(top)254        else:255            matrix = matrix.groupby(group_col).head(top)256            dropCl = methods[:]257            dropCl.append(group_col)258            matrix = matrix.drop(dropCl, axis=1)259        if uncompressed:260            matrix.to_csv(output+'.top'+top_old+'.xls', sep=b"\t", index=False)261        else:262            matrix.to_csv(output+'.top'+top_old+'.xls.gz', compression='gzip', sep=b"\t", index=False)263    ###--------multi-process------------------264    #pool = ThreadPool(5) # 5 represents thread_num265    #result = pool.map(func, iterable_object)266    #pool.close()267    #pool.join()268    ###--------multi-process------------------269    if verbose:270        print >>sys.stderr,\271            "--Successful %s" % strftime(timeformat, localtime())272if __name__ == '__main__':273    startTime = strftime(timeformat, localtime())274    main()275    endTime = strftime(timeformat, localtime())276    fh = open('python.log', 'a')277    print >>fh, "%s\n\tRun time : %s - %s " % \278        (' '.join(sys.argv), startTime, endTime)279    fh.close()280    ###---------profile the program---------281    #import profile282    #profile_output = sys.argv[0]+".prof.txt")283    #profile.run("main()", profile_output)284    #import pstats285    #p = pstats.Stats(profile_output)286    #p.sort_stats("time").print_stats()...

IntegrationModule_getTioSafeXMLDiff.py

Source:IntegrationModule_getTioSafeXMLDiff.py

...30    try:31      pub_xml.append(getattr(ob, pub_xml_method)(context_document=im.getSourceSection()))32    except TypeError:33      pub_xml.append(getattr(ob, pub_xml_method)())34  sub_object = sub_method(context_document=im.getDestinationSectionValue())35  sub_object.sort(cmp=tiosafe_sort)36  for ob in sub_object:37    try:38      sub_xml.append(getattr(ob, sub_xml_method)(context_document=im.getDestinationSection()))39    except TypeError:40      sub_xml.append(getattr(ob, sub_xml_method)())41else:42  raise ValueError("Impossible to get method, pub_method = %s from %s, sub_method = %s from %s" %(pub_method, pub_list, sub_method, sub_list,))43pub_xml = '\n'.join(pub_xml)44sub_xml = '\n'.join(sub_xml)...

PSAppDesigner.py

Source:PSAppDesigner.py

1import win32com.client2import pythoncom3ProgID = "Excel.Application"4com_object = win32com.client.Dispatch(ProgID)5# print dir(com_object)6for key in dir(com_object):7    method = getattr(com_object,key)8    if str(type(method)) == "<type 'instance'>":9        print key10        for sub_method in dir(method):11            if not sub_method.startswith("_") and not "clsid" in sub_method.lower():12                print "\t"+sub_method13    else:
...

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