if args.html:
        with open(args.html, "w") as htmlOut:
            print >> htmlOut, etree.tostring(html, pretty_print=True)

    # Finishing script
    logger.info(u"Count Digits Complete!")


if __name__ == '__main__':
    # Command line options
    args = getOptions()

    # Setting logger
    logger = logging.getLogger()
    if args.debug:
        sl.setLogger(logger, logLevel='debug')
    else:
        sl.setLogger(logger)

    # Starting script with the following parameters
    logger.info(u"Importing data with following parameters: "\
                "\n\tWide: {0}"\
                "\n\tDesign: {1}"\
                "\n\tUnique ID: {2}"\
                "\n\tGroup: {3}"\
                "\n\tHtml: {4}".\
    format(args.input,args.design, args.uniqID, args.group, args.html))

    # Main
    main(args)
Ejemplo n.º 2
0
    with PdfPages(args.figure) as pdfOut:
        plotVarImportance(data=df_importance, pdf=pdfOut, var=args.num)

    # Exporting Transformed data and df_rev data
    logger.info('Exporting data to TSV format')
    df_transf.to_csv(args.oname, index=False, sep='\t', float_format="%.4f")
    df_rev.to_csv(args.oname2, index=False, sep='\t')


if __name__ == '__main__':
    # Command line options
    args = getOptions()

    # Activate Logger
    logger = logging.getLogger()
    sl.setLogger(logger)

    # Starting script
    logger.info(u"Importing data with following parameters: "\
                "\n\tWide: {0}"\
                "\n\tDesign: {1}"\
                "\n\tUnique ID: {2}"\
                "\n\tGroup Column: {3}".format(args.input, args.design,
                args.uniqID, args.group))

    # Stablishing color palette
    palette = colorHandler(pal=args.palette, col=args.color)
    logger.info(u"Using {0} color scheme from {1} palette".format(
        args.color, args.palette))

    # Getting rid of warnings.
Ejemplo n.º 3
0
    ror_df.to_csv(args.table,
                  sep="\t",
                  float_format="%.4f",
                  index_label=args.uniqID,
                  columns=["pval", "rsq", "slope"])
    ror_flags.df_flags.to_csv(args.flags, sep="\t", index_label=args.uniqID)


if __name__ == "__main__":
    # Command line options
    args = getOptions()

    # Setting up logger
    logger = logging.getLogger()
    if args.debug:
        sl.setLogger(logger, logLevel="debug")
        DEBUG = True
    else:
        sl.setLogger(logger)

    # Print logger info
    logger.info(u"""Importing data with following parameters: 
            \tWide: {0}
            \tDesign: {1}
            \tUnique ID: {2}
            \tGroup: {3}
            \tRun Order: {4}
            \tLevels: {5}
            """.format(args.input, args.design, args.uniqID, args.group,
                       args.order, args.levels))