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object --+
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param.parameterized.Parameterized --+
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param.parameterized.ParameterizedFunction --+
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PylabPlotCommand --+
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tuning_curve --+
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cyclic_tuning_curve
Same as tuning_curve, but rotates the curve so that minimum y values are at the minimum x value to make the plots easier to interpret. Such rotation is valid only for periodic quantities like orientation or direction, and only if the correct period is set.
At present, the y_values and labels are rotated by an amount determined by the minmum y_value for the first curve plotted (usually the lowest contrast curve).
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cyclic_range = param.Number(default= pi, bounds= (0, None), soRange of the cyclic quantity (e.g. |
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unit = param.String(default= "degrees", doc= String to use in labels to specify the units in which curves are plotted. |
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__params = dict() -> new empty dictionary. |
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name = <param.parameterized.String object at 0xb23b0d4>String identifier for this object. |
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Return the x, y, and x ticks values for the specified curve from the curve_dict. With the current implementation, there may be cases (i.e., when the lowest contrast curve gives a lot of zero y_values) in which the maximum is not in the center. This may eventually be changed so that the preferred orientation is in the center.
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cyclic_rangeRange of the cyclic quantity (e.g. pi for the orientation of a symmetric stimulus, or 2*pi for motion direction or the orientation of a non-symmetric stimulus).
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unitString to use in labels to specify the units in which curves are plotted.
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__params
dict() -> new empty dictionary.
dict(mapping) -> new dictionary initialized from a mapping object's
(key, value) pairs.
dict(seq) -> new dictionary initialized as if via:
d = {}
for k, v in seq:
d[k] = v
dict(**kwargs) -> new dictionary initialized with the name=value pairs
in the keyword argument list. For example: dict(one=1, two=2)
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