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| from __future__ import annotations | |
| import matplotlib.pyplot as plt | |
| import pandas as pd | |
| from src.utils import plotting | |
| def test_plotting_save_fig(tmp_path): | |
| fig, ax = plt.subplots() | |
| ax.plot([0, 1], [0, 1]) | |
| path = plotting.save_fig(fig, "test_plot", directory=tmp_path) | |
| assert path.exists() | |
| plt.close(fig) | |
| def test_plotting_functions_smoke(): | |
| cap_df = pd.DataFrame( | |
| { | |
| "battery_id": ["B1", "B1", "B2", "B2"], | |
| "cycle_number": [0, 1, 0, 1], | |
| "Capacity": [2.0, 1.9, 2.0, 1.95], | |
| "SoH": [100.0, 95.0, 100.0, 97.5], | |
| "ambient_temperature": [24, 24, 43, 43], | |
| } | |
| ) | |
| fig1 = plotting.plot_capacity_fade(cap_df, save_name=None) | |
| fig2 = plotting.plot_soh_degradation(cap_df, battery_id="B1", save_name=None) | |
| fig3 = plotting.plot_capacity_by_temperature(cap_df, save_name=None) | |
| assert fig1 is not None and fig2 is not None and fig3 is not None | |
| plt.close(fig1) | |
| plt.close(fig2) | |
| plt.close(fig3) | |