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author | Daniel Friesel <daniel.friesel@uos.de> | 2020-10-07 15:13:39 +0200 |
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committer | Daniel Friesel <daniel.friesel@uos.de> | 2020-10-07 15:13:39 +0200 |
commit | d5ace16a8efb627aa9882e595a8bfd1778b6ae36 (patch) | |
tree | d0fa0e09c41bfc43527cb9aecd28545012c23e3a /bin | |
parent | f3f571ea0d4c2f2827681b81a9b341e62d086b69 (diff) |
remove unused helpers
Diffstat (limited to 'bin')
-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) |