diff options
| -rwxr-xr-x | bin/Proof_Of_Concept_PELT.py | 34 |
1 files changed, 0 insertions, 34 deletions
diff --git a/bin/Proof_Of_Concept_PELT.py b/bin/Proof_Of_Concept_PELT.py index 1bbff11..e359e5f 100755 --- a/bin/Proof_Of_Concept_PELT.py +++ b/bin/Proof_Of_Concept_PELT.py @@ -26,40 +26,6 @@ from dfatool.utils import by_name_to_by_param from dfatool.validation import CrossValidator -# helper functions. Not used -def plot_data_from_json(filename, trace_num, x_axis, y_axis): - with open(filename, "r") as file: - tx_data = json.load(file) - print(tx_data[trace_num]["parameter"]) - plt.plot(tx_data[trace_num]["offline"][0]["uW"]) - plt.xlabel(x_axis) - plt.ylabel(y_axis) - plt.show() - - -def plot_data_vs_mean(signal, x_axis, y_axis): - plt.plot(signal) - average = np.mean(signal) - plt.hlines(average, 0, len(signal)) - plt.xlabel(x_axis) - plt.ylabel(y_axis) - plt.show() - - -def plot_data_vs_data_vs_means(signal1, signal2, x_axis, y_axis): - plt.plot(signal1) - lens = max(len(signal1), len(signal2)) - average = np.mean(signal1) - plt.hlines(average, 0, lens, color="red") - plt.vlines(len(signal1), 0, 100000, color="red", linestyles="dashed") - plt.plot(signal2) - average = np.mean(signal2) - plt.hlines(average, 0, lens, color="green") - plt.vlines(len(signal2), 0, 100000, color="green", linestyles="dashed") - plt.xlabel(x_axis) - plt.ylabel(y_axis) - plt.show() - # returns the found changepoints by algo for the specific penalty pen. # algo should be the return value of Pelt(...).fit(signal) |