python利用K

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import matplotlib.pyplot as plt

from sklearn.cluster import KMeans

import pandas as pd

df = pd.read_excel("../data/output3.xls", header=0)

plt.scatter(df["光照"], df["CO2"], linewidths=1, alpha=0.8)

plt.rcParams['font.sans-serif'] = ['SimHei'] 

plt.xlabel("光照")

plt.ylabel("CO2")

plt.grid(color="#95a5a6", linestyle="--", linewidth=1, alpha=0.4)

plt.show()

data = df[["光照","CO2"]]

estimator = KMeans(n_clusters=2) 

estimator.fit(data) 

label_pred = estimator.labels_ 

centers_ = estimator.cluster_centers_ 

x0 = data[label_pred == 0]

x1 = data[label_pred == 1]

plt.scatter(x0["光照"], x0["CO2"],c="red", linewidths=1, alpha=0.8,marker='o', label='label0')

plt.scatter(x1["光照"], x1["CO2"],c="green", linewidths=1, alpha=0.8,marker='+', label='label1')

plt.grid(c="#95a5a6", linestyle="--", linewidth=1, alpha=0.4)

plt.legend()

plt.show()

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