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| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| from celluloid import Camera | |
| from datetime import timedelta | |
| camera = Camera(plt.figure(figsize=(17, 9))) | |
| sns.set() | |
| df1_train["type"] = "lightcoral" | |
| df1_test["type"] = "mediumblue" | |
| new = pd.concat([df1_train, df1_test]) | |
| new["threshold"] = df1_train["distance"].nlargest(25).sum() / 25 * 3 | |
| for idx, i in enumerate(new.index): | |
| if idx % 20 == 0: | |
| # print(len(new[new.index<i])) | |
| plt.title("GME") | |
| plt.ylabel("Centroid Distance") | |
| plt.scatter( | |
| new[new.index < i].index, | |
| new[new.index < i]["distance"], | |
| c=new[new.index < i]["type"], | |
| ) | |
| plt.scatter( | |
| new[(new.index < i) & (new["distance"] > new["threshold"])].index, | |
| new[(new.index < i) & (new["distance"] > new["threshold"])]["distance"], | |
| c=new[(new.index < i) & (new["distance"] > new["threshold"])]["type"], | |
| marker="D", | |
| ) | |
| plt.xlim([new.index.min() - timedelta(days=1), i + timedelta(days=1)]) | |
| camera.snap() | |
| else: | |
| pass | |
| anim = camera.animate(blit=True, interval=100) | |
| anim.save("scatter.gif") |
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