sddshist2d makes two-dimensional histograms of data, producing
output that is suitable for plotting with sddscontour.
The two-dimensional histogram may include data from two columns, or may
show the histograms of a single column versus page number.
examples:
Make a two-dimensional histogram of two PAR bpm readouts, then plot the result:
-pipe[=input][,output] -- The standard SDDS Toolkit pipe option.
-columns={xName,yName | yName} -- Specifies the data from
the input to histogram. If both xName and yName are given, then sddshist2d
does a two-dimensional histogram of the values in the named columns. If only yName
is given, then sddshist2d does a series of one-dimensional histograms of the named
column, one for each data pages; these histograms are then assembled as a two-dimensional
histogram with one axis being the page number.
-weights=columnName[,average] -- Specifies the name of a column of data with
which to proportionally weight the count value of points in the histogram. If the average
qualifier is given, then each bin value is normalized to contain the average value of the weight for
all points in the bin.
-xParameters=bins[,lower,upper] -- Specifies the number of bins and
optionally the histogrammed region for the x values. Ignored if only yName is given.
By default, 21 bins are used encompassing all of the data points.
-yParameters=bins[,lower,upper] -- Specifies the number of bins and
optionally the histogrammed region for the y values. By default, 21 bins are used encompassing
all of the data points.
-outputName=string -- Specifies the name of the histogram data. The default
is frequency.
-sameScale -- Specifies that for multipage input files, the histogram region should be
the same for all pages. The region is set to encompass all data points from all pages.
-combine -- Specifies that for multipage input files, the data from all pages should be
placed in a single histogram.
-normalize[=sum] -- Specifies normalization of the histogram. If the sum qualifier
is not given, the histogram is normalized to unit amplitude; otherwise, it is normalized so that
the sum of all frequencies is unity.
-smooth[=passes] -- Specifies smoothing by nearest-neighbor-averaging. If passes
is omitted, only one pass is performed.
-verbose -- Requests informational output during processing.