Labels Present Shows 0 Detections

This example shows that all labels were detected and none were found to be missing.

detections: {'LABEL': {'lines': {}, 'axes': {}}}

from accessiplot.detection.handler import DetectionHandler, DetectionTypes
from matplotlib import pyplot as plt
import numpy as np


num_lines = 2
labels = ['plot0', 'plot1']
x_axis = 'x'
y_axis = 'y'
title = "Hi I am an Example Title"

# data to be plotted
x = np.arange(1, 11)

_ = plt.figure()
ax = plt.axes()

# Reset the figure so that tests start with a fresh figure.
for _ in range(num_lines):
    y_val = (np.random.rand(1, 10)).T
    ax.plot(x, y_val, label=labels[_])

ax.set_xlabel(x_axis)
ax.set_ylabel(y_axis)
ax.set_title(title)
ax.legend()

dh = DetectionHandler(ax=ax)
dh.run_detections(run_detections_list=[DetectionTypes.LABEL.name])

print("detections:", dh.detections)

plt.show()