import numpy as npimport pandas as pd

不同类型的label可区分

def data_vasual():    """    绘制散点图    :return:    """    feature_data = pd.read_csv('./dataset/feature').values    import matplotlib.pyplot as plt    # 不导入这个就会报错。    from mpl_toolkits.mplot3d import Axes3D    f1 = plt.figure(1)    ax = f1.add_subplot(111, projection='3d')    X = feature_data[:999, 0]    Y = feature_data[:999, 1]    Z = feature_data[:999, 2]    ax.scatter(X, Y, Z, marker='x', color='m', label='1', s=30)  # 绘制数据点    ax.set_xlabel('longitude')    ax.set_ylabel('latitude')    ax.set_zlabel('deepth')    f1.show()    print(1)

feature:

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