def plot_result_per_step(self, experiments, show_plot=True, plot_min=None, plot_max=None, title=None):
"""
Returns (and plots) the plt.figure plotting the results over the steps
for the specified experiments.
This includes:
- one dot per evaluated result at a step
- a line showing the best result found up to that step for every step
- error bars for that line
Parameters
----------
experiments : list of experiment names or experiment name.
The experiments to plot.
show_plot : bool, optional
Whether to show the plot after creation.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
title : string, optional
The title for the plot. If None, one is autogenerated.
Returns
-------
fig : plt.figure
The figure containing the results over the steps.
"""
if not isinstance(experiments, list):
experiments = [experiments]
if title is None:
title = "Comparison of the results of %s." % experiments
plots_list = []
for i, exp_id in enumerate(experiments):
exp_ass = self.exp_assistants[exp_id]
plots_list.extend(exp_ass._best_result_per_step_dicts(color=COLORS[i % len(COLORS)]))
if self.exp_assistants[experiments[0]].experiment.minimization_problem:
legend_loc = 'upper right'
else:
legend_loc = 'upper left'
plot_options = {
"legend_loc": legend_loc,
"x_label": "steps",
"y_label": "result",
"title": title,
"minimizing": self.exp_assistants[experiments[0]].experiment.minimization_problem
}
fig, ax = plot_lists(plots_list, fig_options=plot_options, plot_min=plot_min, plot_max=plot_max)
fig.savefig('output1.png')
if show_plot:
plt.show(True)
return fig
def plot_result_per_step(self,
ax=None,
color="b",
plot_min=None,
plot_max=None):
"""
Returns the plt.figure plotting the results over the steps.
Parameters
----------
ax : None or matplotlib.Axes, optional
The ax to update. If None, a new figure will be created.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
Returns
-------
ax: plt.Axes
The Axes containing the results over the steps.
"""
self._logger.debug(
"Plotting result per step. ax %s, colors %s, "
"plot_min %s, plot_max %s", ax, color, plot_min, plot_max)
plots = self._best_result_per_step_dicts(color, cutoff_percentage=0.5)
if self._experiment.minimization_problem:
legend_loc = 'upper right'
else:
legend_loc = 'upper left'
self._logger.debug("Setting legend to %s LOC", legend_loc)
plot_options = {
"legend_loc":
legend_loc,
"x_label":
"steps",
"y_label":
"result",
"title":
"Plot of %s result over the steps." % (str(self._experiment.name)),
"minimizing":
self._experiment.minimization_problem
}
self._logger.debug("Plot options are %s", plot_options)
fig, ax = plot_lists(plots,
ax=ax,
fig_options=plot_options,
plot_min=plot_min,
plot_max=plot_max)
return fig
def plot_result_per_step(self, experiments, plot_min=None,
plot_max=None, title=None, plot_up_to=None):
"""
Returns (and plots) the plt.figure plotting the results over the steps
for the specified experiments.
Parameters
----------
experiments : list of experiment names or experiment name.
The experiments to plot.
show_plot : bool, optional
Whether to show the plot after creation.
fig : None or pyplot figure, optional
The figure to update. If None, a new figure will be created.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
title : string, optional
The title for the plot. If None, one is autogenerated.
Returns
-------
fig : plt.figure
The figure containing the results over the steps.
"""
if not isinstance(experiments, list):
experiments = [experiments]
if title is None:
title = "Comparison of the results of %s." % experiments
plots_list = []
for i, exp_id in enumerate(experiments):
exp_ass = self._exp_assistants[exp_id]
plots_list.extend(exp_ass._best_result_per_step_dicts(color=COLORS[i % len(COLORS)],
plot_up_to=plot_up_to))
if self._exp_assistants[experiments[0]]._experiment.minimization_problem:
legend_loc = 'upper right'
else:
legend_loc = 'upper left'
plot_options = {
"legend_loc": legend_loc,
"x_label": "steps",
"y_label": "result",
"title": title,
"minimizing": self._exp_assistants[experiments[0]]._experiment.minimization_problem
}
fig, ax = plot_lists(plots_list, fig_options=plot_options, plot_min=plot_min, plot_max=plot_max)
return fig
def plot_result_per_step(self,
experiments,
show_plot=True,
plot_min=None,
plot_max=None,
title=None):
"""
Returns (and plots) the plt.figure plotting the results over the steps
for the specified experiments.
This includes:
- one dot per evaluated result at a step
- a line showing the best result found up to that step for every step
- error bars for that line
Parameters
----------
experiments : list of experiment names or experiment name.
The experiments to plot.
show_plot : bool, optional
Whether to show the plot after creation.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
title : string, optional
The title for the plot. If None, one is autogenerated.
Returns
-------
fig : plt.figure
The figure containing the results over the steps.
"""
best_per_step_plots_list, step_plots_list, plot_options = self._gen_plot_data(
experiments, title)
plots_list = []
plots_list.extend(best_per_step_plots_list)
plots_list.extend(step_plots_list)
fig, ax = plot_lists(plots_list,
fig_options=plot_options,
plot_min=plot_min,
plot_max=plot_max)
if show_plot:
plt.show(True)
return fig
def plot_result_per_step(self, show_plot=True, ax=None, color="b",
plot_min=None, plot_max=None):
"""
Returns (and plots) the plt.figure plotting the results over the steps.
Parameters
----------
show_plot : bool, optional
Whether to show the plot after creation.
ax : None or matplotlib.Axes, optional
The ax to update. If None, a new figure will be created.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
Returns
-------
ax: plt.Axes
The Axes containing the results over the steps.
"""
plots = self._best_result_per_step_dicts(color)
if self.experiment.minimization_problem:
legend_loc = 'upper right'
else:
legend_loc = 'upper left'
plot_options = {
"legend_loc": legend_loc,
"x_label": "steps",
"y_label": "result",
"title": "Plot of %s result over the steps."
%(str(self.experiment.name))
}
fig, ax = plot_lists(plots, ax=ax, fig_options=plot_options, plot_min=plot_min, plot_max=plot_max)
if show_plot:
plt.show(True)
return ax
def plot_result_per_step(self, experiments, show_plot=True, plot_min=None, plot_max=None, title=None):
"""
Returns (and plots) the plt.figure plotting the results over the steps
for the specified experiments.
This includes:
- one dot per evaluated result at a step
- a line showing the best result found up to that step for every step
- error bars for that line
Parameters
----------
experiments : list of experiment names or experiment name.
The experiments to plot.
show_plot : bool, optional
Whether to show the plot after creation.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
title : string, optional
The title for the plot. If None, one is autogenerated.
Returns
-------
fig : plt.figure
The figure containing the results over the steps.
"""
best_per_step_plots_list, step_plots_list, plot_options = self._gen_plot_data(experiments, title)
plots_list = []
plots_list.extend(best_per_step_plots_list)
plots_list.extend(step_plots_list)
fig, ax = plot_lists(plots_list, fig_options=plot_options, plot_min=plot_min, plot_max=plot_max)
fig.savefig('output2.png')
if show_plot:
plt.show(True)
return fig
def plot_result_per_step(self, show_plot=True, ax=None, color="b", plot_min=None, plot_max=None):
"""
Returns (and plots) the plt.figure plotting the results over the steps.
Parameters
----------
show_plot : bool, optional
Whether to show the plot after creation.
ax : None or matplotlib.Axes, optional
The ax to update. If None, a new figure will be created.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
Returns
-------
ax: plt.Axes
The Axes containing the results over the steps.
"""
plots = self._best_result_per_step_dicts(color)
if self.experiment.minimization_problem:
legend_loc = "upper right"
else:
legend_loc = "upper left"
plot_options = {
"legend_loc": legend_loc,
"x_label": "steps",
"y_label": "result",
"title": "Plot of %s result over the steps." % (str(self.experiment.name)),
}
fig, ax = plot_lists(plots, ax=ax, fig_options=plot_options, plot_min=plot_min, plot_max=plot_max)
if show_plot:
plt.show(True)
return ax
def plot_result_per_step(self, ax=None, color="b",
plot_min=None, plot_max=None):
"""
Returns the plt.figure plotting the results over the steps.
Parameters
----------
ax : None or matplotlib.Axes, optional
The ax to update. If None, a new figure will be created.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
Returns
-------
ax: plt.Axes
The Axes containing the results over the steps.
"""
plots = self._best_result_per_step_dicts(color, cutoff_percentage=0.5)
if self._experiment.minimization_problem:
legend_loc = 'upper right'
else:
legend_loc = 'upper left'
plot_options = {
"legend_loc": legend_loc,
"x_label": "steps",
"y_label": "result",
"title": "Plot of %s result over the steps."
% (str(self._experiment.name)),
"minimizing": self._experiment.minimization_problem
}
fig, ax = plot_lists(plots, ax=ax, fig_options=plot_options,
plot_min=plot_min, plot_max=plot_max)
return fig
def plot_result_per_step(self,
experiments,
show_plot=True,
plot_min=None,
plot_max=None,
title=None):
"""
Returns (and plots) the plt.figure plotting the results over the steps
for the specified experiments.
Parameters
----------
experiments : list of experiment names or experiment name.
The experiments to plot.
show_plot : bool, optional
Whether to show the plot after creation.
fig : None or pyplot figure, optional
The figure to update. If None, a new figure will be created.
color : string, optional
A string representing a pyplot color.
plot_min : float, optional
The smallest value to plot on the y axis.
plot_max : float, optional
The biggest value to plot on the y axis.
title : string, optional
The title for the plot. If None, one is autogenerated.
Returns
-------
fig : plt.figure
The figure containing the results over the steps.
"""
if not isinstance(experiments, list):
experiments = [experiments]
if title is None:
title = "Comparison of %s." % experiments
plots_list = []
for i, ex_name in enumerate(experiments):
exp_ass = self.exp_assistants[ex_name]
plots_list.extend(
exp_ass._best_result_per_step_dicts(
color=self.COLORS[i % len(self.COLORS)]))
if self.exp_assistants[experiments[0]].experiment.minimization_problem:
legend_loc = 'upper right'
else:
legend_loc = 'upper left'
plot_options = {
"legend_loc": legend_loc,
"x_label": "steps",
"y_label": "result",
"title": title
}
fig, ax = plot_lists(plots_list,
fig_options=plot_options,
plot_min=plot_min,
plot_max=plot_max)
if show_plot:
plt.show(True)
return fig
