Functions
	flatten (input_data)
	y_data: [[Float]] Multiple quantities per time stamp.

	remove_duplicates (x_data, y_data)

	plot_cells_per_rank (OutputFile data, plot_remote_cells, show_optimum)

	plot_trees_per_rank (OutputFile data)

Variables
list	Colours = [ "#0000ff", "#00ff00", "#ff0000", "#00ffff", "#ff00ff", "#ffff00", "#aaaaaa" ]

list	Symbols = [ "o", "s", "<", ">", "^", "v", "x" ]

	parser = argparse.ArgumentParser(description='Peano 4 load balancing plotter')

	help

	action

	default

	dest

	False

	True

	choices

	type

	int

	args = parser.parse_args()

	data = OutputFile( args.file, args.verbose )

	base

	ncol

	bottom

str	output_filename = args.file + "-cells-per-rank"

Function Documentation

◆ flatten()

plot_load_distribution.flatten ( input_data )

y_data: [[Float]] Multiple quantities per time stamp.

There might be different numbers of quantities per time stamp.

We return a tuple [Float],[Float].

Definition at line 16 of file plot_load_distribution.py.

Referenced by plot_cells_per_rank().

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◆ plot_cells_per_rank()

plot_load_distribution.plot_cells_per_rank	(	OutputFile	data,
			plot_remote_cells,
			show_optimum
	)

Definition at line 48 of file plot_load_distribution.py.

References flatten(), and remove_duplicates().

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◆ plot_trees_per_rank()

plot_load_distribution.plot_trees_per_rank ( OutputFile data )

Definition at line 97 of file plot_load_distribution.py.

◆ remove_duplicates()

plot_load_distribution.remove_duplicates	(	x_data,
		y_data
	)

Definition at line 37 of file plot_load_distribution.py.

Referenced by plot_cells_per_rank().

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Variable Documentation

◆ action

plot_load_distribution.action

Definition at line 122 of file plot_load_distribution.py.

◆ args

plot_load_distribution.args = parser.parse_args()

Definition at line 127 of file plot_load_distribution.py.

◆ base

plot_load_distribution.base

Definition at line 137 of file plot_load_distribution.py.

◆ bottom

plot_load_distribution.bottom

Definition at line 155 of file plot_load_distribution.py.

◆ choices

plot_load_distribution.choices

Definition at line 125 of file plot_load_distribution.py.

◆ Colours

list plot_load_distribution.Colours = [ "#0000ff", "#00ff00", "#ff0000", "#00ffff", "#ff00ff", "#ffff00", "#aaaaaa" ]

Definition at line 12 of file plot_load_distribution.py.

◆ data

plot_load_distribution.data = OutputFile( args.file, args.verbose )

Definition at line 129 of file plot_load_distribution.py.

◆ default

plot_load_distribution.default

Definition at line 122 of file plot_load_distribution.py.

◆ dest

plot_load_distribution.dest

Definition at line 123 of file plot_load_distribution.py.

◆ False

plot_load_distribution.False

Definition at line 123 of file plot_load_distribution.py.

◆ help

plot_load_distribution.help

Definition at line 121 of file plot_load_distribution.py.

◆ int

plot_load_distribution.int

Definition at line 126 of file plot_load_distribution.py.

◆ ncol

plot_load_distribution.ncol

Definition at line 141 of file plot_load_distribution.py.

◆ output_filename

str plot_load_distribution.output_filename = args.file + "-cells-per-rank"

Definition at line 157 of file plot_load_distribution.py.

◆ parser

plot_load_distribution.parser = argparse.ArgumentParser(description='Peano 4 load balancing plotter')

Definition at line 120 of file plot_load_distribution.py.

◆ Symbols

list plot_load_distribution.Symbols = [ "o", "s", "<", ">", "^", "v", "x" ]

Definition at line 13 of file plot_load_distribution.py.

◆ True

plot_load_distribution.True

Definition at line 124 of file plot_load_distribution.py.

◆ type

plot_load_distribution.type