Describe the bug
Unable to run plot.py without error:
ValueError: Multi-dimensional indexing (e.g. obj[:, None]) is no longer supported. Convert to a numpy array before indexing instead.
To Reproduce
Run code from tutorial:
for model in [model1, model2, model3]:
print(type(model).name)
fig, ax = model.plot_anomaly(
time_series=test_data, time_series_prev=train_data,
filter_scores=True, plot_time_series_prev=True)
plot_anoms(ax=ax, anomaly_labels=test_labels)
plt.show()
print()
Expected behavior
Plot the Anamalies based on model
Screenshots
Worked after adding
Desktop (please complete the following information):
OS: Ubuntu 16.04 LTS
Additional context
Resolved by updating Line 219 & 246: ln = ax.plot(np.array(y.index), y.np_values, c="k", alpha=0.8, lw=1, zorder=1, label=metric_name)
Describe the bug Unable to run plot.py without error: ValueError: Multi-dimensional indexing (e.g.
obj[:, None]) is no longer supported. Convert to a numpy array before indexing instead.To Reproduce Run code from tutorial: for model in [model1, model2, model3]: print(type(model).name) fig, ax = model.plot_anomaly( time_series=test_data, time_series_prev=train_data, filter_scores=True, plot_time_series_prev=True) plot_anoms(ax=ax, anomaly_labels=test_labels) plt.show() print()
Expected behavior Plot the Anamalies based on model
Screenshots Worked after adding
Desktop (please complete the following information):
Additional context Resolved by updating Line 219 & 246: ln = ax.plot(np.array(y.index), y.np_values, c="k", alpha=0.8, lw=1, zorder=1, label=metric_name)