[Python] PartialDependenceDisplay.from_estimator plots having lines with 0 values

Need to evaluate the two way interaction between two variables after regressor model. Used PartialDependenceDisplay.from_estimator to plot but the contour lines inside the plot all have value 0.Not sure what might cause this. Checked the data and model and there are no problems while loading the model and data. Checked the other two variable combinations and they have same issue.

from sklearn.inspection import partial_dependence, PartialDependenceDisplay
model = load_model(model_path)
model_features = model.feature_name_

fig, ax = plt.subplots(figsize=(10,5))
X = training_data[model_features]
PartialDependenceDisplay.from_estimator(model, X, features=[('temperature', 'speed')], ax=ax, n_jobs=-1, grid_resolution=20)




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