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Methods defined here:
- __init__(self, directory='doc')
- create2DPlot(self, system, x_name, y_name, input_dict=None, output_dict=None, x_logscale=0, y_logscale=0)
- Creates a 2D plot of an input variable and an output variable.
Other (const) variables have to be set beforehand in the dictionary input_dict.
@param system: the fuzzy system to use
@type system: L{fuzzy.System.System}
@param x_name: name of input variable used for x coordinate values
@type x_name: string
@param y_name: name of output variable used for y coordinate values
@type y_name: string
@param input_dict: dictionary used for input values, can be used to predefine other input values
@type input_dict: dict
@param output_dict: dictionary used for output values
@type output_dict: dict
@param x_logscale: use logarithmic scale for x values
@type x_logscale: bool
@param y_logscale: use logarithmic scale for y values
@type y_logscale: bool
- create3DPlot(self, system, x_name, y_name, z_name, input_dict=None, output_dict=None, x_logscale=0, y_logscale=0, z_logscale=0)
- Creates a 3D plot of 2 input variables and an output variable.
Other (const) variables have to be set beforehand in the dictionary input_dict.
@param system: the fuzzy system to use
@type system: L{fuzzy.System.System}
@param x_name: name of input variable used for x coordinate values
@type x_name: string
@param y_name: name of input variable used for y coordinate values
@type y_name: string
@param z_name: name of output variable used for z coordinate values
@type z_name: string
@param input_dict: dictionary used for input values, can be used to predefine other input values
@type input_dict: dict
@param output_dict: dictionary used for output values
@type output_dict: dict
@param x_logscale: use logarithmic scale for x values
@type x_logscale: bool
@param y_logscale: use logarithmic scale for y values
@type y_logscale: bool
@param z_logscale: use logarithmic scale for z values
@type z_logscale: bool
- create3DPlot_adjective(self, system, x_name, y_name, z_name, adjective, input_dict=None, output_dict=None, x_logscale=0, y_logscale=0, z_logscale=0)
- Creates a 3D plot of 2 input variables and an adjective of the output variable.
Other (const) variables have to be set beforehand in the dictionary input_dict.
@param system: the fuzzy system to use
@type system: L{fuzzy.System.System}
@param x_name: name of input variable used for x coordinate values
@type x_name: string
@param y_name: name of input variable used for y coordinate values
@type y_name: string
@param z_name: name of output variable used for z coordinate values
@type z_name: string
@param adjective: name of adjective of output variable used for z coordinate values
@type adjective: string
@param input_dict: dictionary used for input values, can be used to predefine other input values
@type input_dict: dict
@param output_dict: dictionary used for output values
@type output_dict: dict
@param x_logscale: use logarithmic scale for x values
@type x_logscale: bool
@param y_logscale: use logarithmic scale for y values
@type y_logscale: bool
@param z_logscale: use logarithmic scale for z values
@type z_logscale: bool
- createDoc(self, system)
- create plots of all variables defined in the given system.
- createDocSets(self, sets, name, x_logscale=0, y_logscale=0, description=None, units=None)
- Creates a 2D plot of dict of sets
- createDocVariable(self, v, name, x_logscale=0, y_logscale=0)
- Creates a 2D plot of a variable
- getValues(self, v)
- getValuesSets(self, sets)
- initGnuplot2D(self, filename='plot', xlabel=None, ylabel=None, title=None, xrange_=None, yrange=None, x_logscale=0, y_logscale=0)
- initGnuplot3D(self, filename='plot3D', xlabel=None, ylabel=None, zlabel=None, title=None, xrange_=None, yrange=None, zrange=None, x_logscale=0, y_logscale=0, z_logscale=0)
- setTerminal(self, g, filename)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
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