trappy.plotter.StaticPlot module

Base matplotlib plotter module

class trappy.plotter.StaticPlot.StaticPlot(traces, templates, **kwargs)

Bases: trappy.plotter.AbstractDataPlotter.AbstractDataPlotter

This class uses trappy.plotter.Constraint.Constraint to represent different permutations of input parameters. These constraints are generated by creating an instance of trappy.plotter.Constraint.ConstraintManager.

Parameters:

• traces (a list of trappy.trace.FTrace, trappy.trace.SysTrace, trappy.trace.BareTrace or pandas.DataFrame or a single instance of them.) – The input data
• column ((str, list(str))) – specifies the name of the column to be plotted.
• templates (trappy.base.Base) –

  TRAPpy events

  Note

  This is not required if a pandas.DataFrame is used

• filters (dict) –

  Filter the column to be plotted as per the specified criteria. For Example:

  filters =
          {
              "pid": [ 3338 ],
              "cpu": [0, 2, 4],
          }
  

• per_line (int) – Used to control the number of graphs in each graph subplot row
• concat (bool) – Draw all the pivots on a single graph
• permute (bool) – Draw one plot for each of the traces specified
• drawstyle –

  This argument is forwarded to the matplotlib corresponding matplotlib.pyplot.plot() call

  drawing style.

  Note

  step plots are not currently supported for filled graphs

• xlim (tuple) – A tuple representing the upper and lower xlimits
• ylim (tuple) – A tuple representing the upper and lower ylimits
• title (str) – A title describing all the generated plots
• style (bool) – Created pre-styled graphs loaded from trappy.plotter.AttrConf.MPL_STYLE
• signals (str) –

  A string of the type event_name:column to indicate the value that needs to be plotted

  Note

  • Only one of signals or both templates and columns should be specified
  • Signals format won’t work for pandas.DataFrame input
• legend_ncol (int) – A positive integer that represents the number of columns in the legend

add_to_legend(series_index, handle, constraint, pivot, concat, permute)

Add series handles and names to the legend A handle is returned from a plot on an axis e.g. Line2D from axis.plot()

make_title(constraint, pivot, permute, concat)

Generates a title string for an axis

plot_axis(axis, series_list, permute, concat, args_to_forward)

Internal Method called to plot data (series_list) on a given axis

savefig(*args, **kwargs)

Save the plot as a PNG fill. This calls into matplotlib.figure.savefig

set_defaults()

Sets the default attrs

view(test=False)

Displays the graph