Python argv.pop方法代码示例

# 需要导入模块: from sys import argv [as 别名]
# 或者: from sys.argv import pop [as 别名]
def mark_uploaded(cache_name):
    with todo_file() as todo:
        todo.pop(cache_name, None) 

# 需要导入模块: from sys import argv [as 别名]
# 或者: from sys.argv import pop [as 别名]
def plotColumnsSimple(specs, outFile=None, rmsDiffFrom=None, floatFormat=None,
                colors='bgrcmyk', markers='+x^svD<4>3', **options):
    """Plot olumns of numbers from one or more data files.
    Each plot spec. contains a filename and a list of labelled columns:
      e.g., ('file1', 'xlabel:1,ylabel1:4,ylabel2:2,ylabel3:13)
    Bug:  For the moment, only have 7 different colors and 10 different markers.
    """
    ensureItems(options, {'legend': True})
    ydataMaster = None
    for spec in specs:
        file, columns = spec          # each spec is a (file, columnList) pair
        columns = columns.split(',')  # each columnList is a comma-separated list of named columns
        # Each named column is a colon-separated pair or triple 'label:integer[:style]'
        # Column indices are one-based.
        # Styles are concatenated one-char flags like 'go' for green circles or
        # 'kx-' for black X's with a line.
        fields = N.array([map(floatOrMiss, line.split()) for line in open(file, 'r')])
        xcol = columns.pop(0)  # first column in list is the x axis
        xlabel, xcol, xstyle = splitColumnSpec(xcol)
        xdata = fields[:,xcol-1]
        markIndex = 0
        for ycol in columns:
            ylabel, ycol, ystyle = splitColumnSpec(ycol)
            if ystyle is None: ystyle = colors[markIndex] + markers[markIndex]            
            ydata = fields[:,ycol-1]  # all other columns are multiple y plots
            if rmsDiffFrom:
                if ydataMaster is None:
                    ydataMaster = ydata    # kludge: must be first ycol in first file
                    ylabelMaster = ylabel
                else:
                    s = diffStats(ylabelMaster, ydataMaster, ylabel, ydata)
                    print >>sys.stderr, s.format(floatFormat)
                    n, mean, sigma, min, max, rms = s.calc()
                    ylabel = ylabel + ' ' + floatFormat % rms
            M.plot(xdata, ydata, ystyle, label=ylabel)
            markIndex += 1
    evalKeywordCmds(options)
    if outFile: M.savefig(outFile) 

# 需要导入模块: from sys import argv [as 别名]
# 或者: from sys.argv import pop [as 别名]
def plotColumnsGrouped(specs, groupBy, outFile=None, rmsDiffFrom=None, floatFormat=None,
                colors='bgrcmyk', markers='+x^svD<4>3', **options):
    """Plot olumns of numbers from one or more data files.
    Each plot spec. contains a filename and a list of labelled columns:
      e.g., ('file1', 'xlabel:1,ylabel1:4,ylabel2:2,ylabel3:13)
    Bug:  For the moment, only have 7 different colors and 10 different markers.
    """
    ensureItems(options, {'legend': True})
    ydataMaster = None
    for spec in specs:
        file, columns = spec          # each spec is a (file, columnList) pair
        columns = columns.split(',')  # each columnList is a comma-separated list of named columns
        # Each named column is a colon-separated pair or triple 'label:integer[:style]'
        # Column indices are one-based.
        # Styles are concatenated one-char flags like 'go' for green circles or
        # 'kx-' for black X's with a line.
        fields = N.array([map(floatOrMiss, line.split()) for line in open(file, 'r')])
        xcol = columns.pop(0)  # first column in list is the x axis
        xlabel, xcol, xstyle = splitColumnSpec(xcol)
        xdata = fields[:,xcol-1]
        markIndex = 0
        for ycol in columns:
            ylabel, ycol, ystyle = splitColumnSpec(ycol)
            if ystyle is None: ystyle = colors[markIndex] + markers[markIndex]            
            ydata = fields[:,ycol-1]  # all other columns are multiple y plots
            if rmsDiffFrom:
                if ydataMaster is None:
                    ydataMaster = ydata    # kludge: must be first ycol in first file
                    ylabelMaster = ylabel
                else:
                    s = diffStats(ylabelMaster, ydataMaster, ylabel, ydata)
                    print >>sys.stderr, s.format(floatFormat)
                    n, mean, sigma, min, max, rms = s.calc()
                    ylabel = ylabel + ' ' + floatFormat % rms
            M.plot(xdata, ydata, ystyle, label=ylabel)
            markIndex += 1
    evalKeywordCmds(options)
    if outFile: M.savefig(outFile) 

# 需要导入模块: from sys import argv [as 别名]
# 或者: from sys.argv import pop [as 别名]
def plotVtecAndJasonTracks(gtcFiles, outFile=None, names=None, makeFigure=True, show=False, **options):
    """Plot GAIM climate and assim VTEC versus JASON using at least two 'gc' files.
    First file is usually climate file, and rest are assim files.
    """
    ensureItems(options, {'title': 'GAIM vs. JASON for '+gtcFiles[0], \
                          'xlabel': 'Geographic Latitude (deg)', 'ylabel': 'VTEC (TECU)'})
    if 'show' in options:
        show = True
        del options['show']
    M.subplot(211)
    gtcFile = gtcFiles.pop(0)
    name = 'clim_'
    if names: name = names.pop(0)
    specs = [(gtcFile, 'latitude:2,jason:6,gim__:8,%s:13,iri__:10' % name)]
    name = 'assim'
    for i, gtcFile in enumerate(gtcFiles):
        label = name
        if len(gtcFiles) > 1: label += str(i+1)
        specs.append( (gtcFile, 'latitude:2,%s:13' % label) )
    plotColumns(specs, rmsDiffFrom='jason', floatFormat='%5.1f', **options)
    M.legend()
    
    M.subplot(212)
    options.update({'title': 'JASON Track Plot', 'xlabel': 'Longitude (deg)', 'ylabel': 'Latitude (deg)'})
    fields = N.array([map(floatOrMiss, line.split()) for line in open(gtcFiles[0], 'r')])
    lons = fields[:,2]; lats = fields[:,1]
    marksOnMap(lons, lats, show=show, **options)
    if outFile: M.savefig(outFile)