Plot ini

the plot config is used to plot the results from the log folder. The plot config is used for the MainPlot.py in the example folder

Log

defines the log-folder and the location, where the plot’s should be saved

Main Structure

Key	Value
path_dir	bool: True or False, defines if all events should be saved
save_dir	relative path, where the log files should be changed
file_type	list of the selected output formats, possible types: eps, pdf, pgf, png, ps, raw, rgba, svg, svgz

Example

[Log]
path_dir="/example/log/11292020_07-19-15_5_3"
save_dir="/example/log/11292020_07-19-15_5_3/plot"
#supported: formats eps, pdf, pgf, png, ps, raw, rgba, svg, svgz
file_type=['png','svg','pdf']

Style

defines the plot style

Main Structure

Key	Value
colormap	defines the colors
marker	defines the marker style, the first marker is the standard marker

For further colormaps view: Classes of colormaps For marker style view: matplotlib.markers

Example

[Style]
colormap="Accent"
marker=['','o','r']

LinePlot

plot’s one kpi as line plot

Main Structure

Key	Value
y_data	list of dict with {‘kpi’:name of kpi,’type’,’object_name’: (optional) [list of labels]}

• the following types are defined: machine, transporter, queue, product, transporter_distribution, simulation

• object_name: optional parameter, if not defined all labels + ‘all’ are used, if object_name is defined only the labels in the list are shown, therefore object_name is used as filter

Example

[LinePlot]
#without object name all data are shown
y_data=[{'kpi':'AE','type':'machine','object_name':['m0','all']},{'kpi':'FillLevel','type':'queue'}]

MultipleLinePlot

plot’s multiple kpi as line plot, each kpi has it’s own subchart

Main Structure

Key	Value
y_data	list of dict with {‘title’:str,’data’:[{‘kpi’,’type’,’object_name’ (optional)}]} the data dict is identical to line plot

• the following types are defined: machine, transporter, queue, product, transporter_distribution, simulation

• object_name: optional parameter, if not defined all labels + ‘all’ are used, if object_name is defined only the labels in the list are shown, therefore object_name is used as filter

Example

[MultipleLinePlot]
#max 3 kpis
settings=[{'title':"compare some parameters",'data':[{'kpi':'AE','type':'machine','object_name':['m0','all']},{'kpi':'FE','type':'transporter'}]}]

ScatterPlot

compares two kpi as a scatter plot with histogram at both axes

Main Structure

Key	Value
x_data	list of dict with {‘kpi’,’type’,’object_name’ (optional)} the dict is identical to line plot
y_data	list of dict with {‘kpi’,’type’,’object_name’ (optional)} the dict is identical to line plot

• the following types are defined: machine, transporter, queue, product, transporter_distribution, simulation

• object_name: optional parameter, if not defined all labels + ‘all’ are used, if object_name is defined only the labels in the list are shown, therefore object_name is used as filter

• the first x_data is correlated with the first y_data and so on

Example

[ScatterPlot]
x_data=[{'kpi':'AE','type':'machine','object_name':'m1'},{'kpi':'A','type':'machine','object_name':'m1'}]
y_data=[{'kpi':'AE','type':'machine','object_name':'m0'},{'kpi':'A','type':'machine','object_name':'m0'}]

Complete file

this file is available in example/config/plot_log.ini

[Log]
path_dir="/example/log/11292020_07-19-15_5_3"
save_dir="/example/log/11292020_07-19-15_5_3/plot"
#supported: formats eps, pdf, pgf, png, ps, raw, rgba, svg, svgz
file_type=['png','svg','pdf']

[Style]
colormap="Accent"
marker=['','o','r']

[LinePlot]
#without object name all
y_data=[{'kpi':'AE','type':'machine','object_name':['m0','all']},{'kpi':'FillLevel','type':'queue'}]

[MultipleLinePlot]
#max 3 kpis
settings=[{'title':"compare some parameters",'data':[{'kpi':'AE','type':'machine','object_name':['m0','all']},{'kpi':'FE','type':'transporter'}]}]


[ScatterPlot]
x_data=[{'kpi':'AE','type':'machine','object_name':'m1'},{'kpi':'A','type':'machine','object_name':'m1'}]
y_data=[{'kpi