GraphData

GraphData encapsulates input data for the DIRAC Graphs plots

The DIRAC Graphs package is derived from the GraphTool plotting package of the CMS/Phedex Project by … <to be added>

class DIRAC.Core.Utilities.Graphs.GraphData.GraphData(data={})

Bases: object

__init__(data={})
expandKeys()
getLabels()

Get the graph labels together with the numeric values used for the label sorting

getNumberOfKeys()
getNumberOfLabels()
getPlotNumData(label=None, zipFlag=True)

Get the plot data in a numeric form

getStatString(unit=None)

Get a string summarizing the graph data statistics

getStats()

Get statistics of the graph data

getStringMap()

Get string to number mapping for numeric type keys

initialize(key_type=None)
isEmpty()

Check if there is no data inserted

isSimplePlot()
makeCumulativeGraph()

Prepare data for the cumulative graph

makeNumKeys()

Make numerical representation of the graph keys suitable for plotting

setData(data)

Add data to the GraphData object

sortKeys()

Sort the graph keys in a natural order

sortLabels(sort_type='max_value', reverse_order=False)

Sort labels with a specified method: alpha - alphabetic order max_value - by max value of the subplot sum - by the sum of values of the subplot last_value - by the last value in the subplot avg_nozeros - by an average that excludes all zero values

truncateLabels(limit=10)

Truncate the number of labels to the limit, leave the most important ones, accumulate the rest in the ‘Others’ label

class DIRAC.Core.Utilities.Graphs.GraphData.PlotData(data, single=True, key_type=None)

Bases: object

PlotData class is a container for a one dimensional plot data

__init__(data, single=True, key_type=None)
expandKeys(all_keys)

Fill zero values into the missing keys

getKeys()
getMaxValue()
getMinValue()
getNumKeys()
getPlotData()
getPlotDataForNumKeys(num_keys, zeroes=False)
getPlotErrors()
getPlotNumData()
getValues()
initialize()
makeCumulativePlot()
parseData(key_type=None)

Parse all the data values passed to the graph. For this super class, basically does nothing except loop through all the data. A sub-class should override the parseDatum and parse_pivot functions rather than this one.

parseDatum(data)

Parse the specific data value; this is the identity.

parseKey(key)

Parse the name of the pivot; this is the identity function.

sortKeys(sort_type='alpha')

Sort keys according to the specified method : alpha - sort in alphabetic order weight - sort in the order of values

DIRAC.Core.Utilities.Graphs.GraphData.get_key_type(keys)

A utility function to guess the type of the plot keys