Enot visualization package

enot.visualization package contains utility functions which visualizes certain things which ENOT user may want to watch. Some examples: latency distribution in search space operations, and search space operation probability heatmap.

plot_latency_heatmap(container, annotate_values=False, figsize=None)

Plots latencies of operations by blocks.

Parameters:

  • container (SearchSpaceLatencyContainer) – Container for visualization.

  • annotate_values (bool, optional) – Whether to print probability values over the heatmap (the default is False).

  • figsize (tuple with two ints or None, optional) – Figure size (the default is None, which uses default matplotlib figure size).

Returns:

Return type:

matplotlib.pylab.Figure

plot_probability_heatmap(probabilities, annotate_values=False, figsize=None)

Plots probabilities of operations by blocks.

Parameters:

  • probabilities (list of list of floats or ndarray) – Probabilities for visualization.

  • annotate_values (bool, optional) – Whether to print probability values over the heatmap (the default is False).

  • figsize (tuple with two ints or None, optional) – Figure size (the default is None, which uses default matplotlib figure size).

Returns:

Return type:

matplotlib.pylab.Figure