def addTextBox(plot: matplotlib.axes.SubplotBase,
text: str,
position='bottomright'):
# these are matplotlib.patch.Patch properties
props = dict(boxstyle='square', facecolor='#fff', alpha=1)
# place a text box in upper left in axes coords
# top right: xy=(1, 1), xytext=(15, 15), verticalalignment='top'
# bottom right: xy=(1, 0), xytext=(-15, 15), verticalalignment='bottom'
if position == 'topright':
positionArgs = {
'xy': (1, 1),
'xytext': (15, 15),
'verticalalignment': 'top',
'horizontalalignment': 'right'
}
if position == 'bottomright':
positionArgs = {
'xy': (1, 0),
'xytext': (-15, 15),
'verticalalignment': 'bottom',
'horizontalalignment': 'right'
}
plot.annotate(text,
fontsize=10,
bbox=props,
zorder=10,
xycoords='axes fraction',
textcoords='offset points',
**positionArgs)
def stackplot(
self,
eco,
title: titleType = None,
logscale: bool = True,
ax: matplotlib.axes.SubplotBase = None,
) -> matplotlib.figure.Figure:
populations = eco.population_sizes
if ax is None:
_, ax = plt.subplots()
else:
ax = ax
figure = ax.get_figure()
turns = range(len(populations))
pops = [
[populations[iturn][ir] for iturn in turns]
for ir in self.result_set.ranking
]
ax.stackplot(turns, *pops)
ax.yaxis.tick_left()
ax.yaxis.set_label_position("right")
ax.yaxis.labelpad = 25.0
ax.set_ylim([0.0, 1.0])
ax.set_ylabel("Relative population size")
ax.set_xlabel("Turn")
if title is not None:
ax.set_title(title)
trans = transforms.blended_transform_factory(ax.transAxes, ax.transData)
ticks = []
for i, n in enumerate(self.result_set.ranked_names):
x = -0.01
y = (i + 0.5) * 1 / self.result_set.num_players
ax.annotate(
n,
xy=(x, y),
xycoords=trans,
clip_on=False,
va="center",
ha="right",
fontsize=5,
)
ticks.append(y)
ax.set_yticks(ticks)
ax.tick_params(direction="out")
ax.set_yticklabels([])
if logscale:
ax.set_xscale("log")
plt.tight_layout()
return figure
def stackplot(
self,
eco,
title: titleType = None,
logscale: bool = True,
ax: matplotlib.axes.SubplotBase = None,
) -> matplotlib.figure.Figure:
populations = eco.population_sizes
if ax is None:
_, ax = plt.subplots()
else:
ax = ax
figure = ax.get_figure()
turns = range(len(populations))
pops = [
[populations[iturn][ir] for iturn in turns]
for ir in self.result_set.ranking
]
ax.stackplot(turns, *pops)
ax.yaxis.tick_left()
ax.yaxis.set_label_position("right")
ax.yaxis.labelpad = 25.0
ax.set_ylim([0.0, 1.0])
ax.set_ylabel("Relative population size")
ax.set_xlabel("Turn")
if title is not None:
ax.set_title(title)
trans = transforms.blended_transform_factory(ax.transAxes, ax.transData)
ticks = []
for i, n in enumerate(self.result_set.ranked_names):
x = -0.01
y = (i + 0.5) * 1 / self.result_set.num_players
ax.annotate(
n,
xy=(x, y),
xycoords=trans,
clip_on=False,
va="center",
ha="right",
fontsize=5,
)
ticks.append(y)
ax.set_yticks(ticks)
ax.tick_params(direction="out")
ax.set_yticklabels([])
if logscale:
ax.set_xscale("log")
plt.tight_layout()
return figure
