Pandas不连续的True value行，以查找每个分段的min()

segment_labels = (bool_series != bool_series.shift()).cumsum()

min_values = bool_series.groupby(segment_labels).min()

import pandas as pd

# 创建一个示例DataFrame
data = {'A': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
        'B': [True, True, False, True, True, False, False, True, True, True]}
df = pd.DataFrame(data)

# 创建布尔Series
bool_series = df['B']

# 创建分段标签
segment_labels = (bool_series != bool_series.shift()).cumsum()

# 计算每个分段的最小值
min_values = bool_series.groupby(segment_labels).min()

print(min_values)

B
1     True
2    False
3     True
4     True