python伪代码：1.读取聚类中标签值为-1的点，读取数据写入新的表格-1.xls中 2.读取-1.xls 判断每个点相对于下一个点的方向写入表格direction.xls中 3.计算方向向量及其水平和竖直夹角的度数，并判断方向

向量所在的象限，将结果写入表格angle.xls中。

以下是Python伪代码实现：

# 导入所需库和模块
import pandas as pd
import math

# 读取聚类中标签值为-1的点，写入新的表格-1.xls中
data = pd.read_excel('cluster_data.xlsx')
data_negative = data[data['cluster_label'] == -1]
data_negative.to_excel('negative_data.xlsx', index=False)

# 读取-1.xls，计算方向并写入direction.xls和angle.xls
data_negative = pd.read_excel('negative_data.xlsx')
direction = []
angle = []
for i in range(len(data_negative) - 1):
    # 计算当前点到下一个点的向量
    x1, y1 = data_negative.iloc[i]['x'], data_negative.iloc[i]['y']
    x2, y2 = data_negative.iloc[i+1]['x'], data_negative.iloc[i+1]['y']
    vector = [x2 - x1, y2 - y1]
    
    # 判断向量所在的象限
    if vector[0] > 0 and vector[1] > 0:
        quadrant = 1
    elif vector[0] < 0 and vector[1] > 0:
        quadrant = 2
    elif vector[0] < 0 and vector[1] < 0:
        quadrant = 3
    elif vector[0] > 0 and vector[1] < 0:
        quadrant = 4
    else:
        quadrant = 0
    
    # 计算向量与x轴正方向的夹角
    angle_degree = math.degrees(math.atan2(vector[1], vector[0]))
    
    # 将方向和角度写入表格
    direction.append(quadrant)
    angle.append(angle_degree)

df_direction = pd.DataFrame({'direction': direction})
df_angle = pd.DataFrame({'angle': angle})
df_direction.to_excel('direction.xlsx', index=False)
df_angle.to_excel('angle.xlsx', index=False)