gme_complete.py

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")