57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
import pandas as pd
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def bianyao_huangjijingshi(Map64Gua: pd.DataFrame, yaoOrig: str) -> pd.DataFrame:
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"""
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皇极经世：变爻计算
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输入原爻（如 '000100'），输出所有变爻之后的卦象合集
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"""
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#print("Map64Gua:",Map64Gua['yaoAll'].apply(type).value_counts())
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# 找到原始卦所在的行
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if 'yaoAll' not in Map64Gua.columns:
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raise ValueError("'yaoAll' 列在 Map64Gua 中不存在，请检查数据")
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Map64Gua = Map64Gua.copy()
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Map64Gua['yaoAll'] = Map64Gua['yaoAll'].astype(str).str.zfill(6).str.strip()
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yaoOrig = str(yaoOrig).zfill(6).strip()
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# 找到原始卦所在的行
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matches = Map64Gua[Map64Gua['yaoAll'] == yaoOrig]
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if matches.empty:
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raise ValueError(f"未找到 yaoAll 为 {yaoOrig} 的卦象")
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k2 = matches.iloc[0] # 取第一行
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# 计算原卦的二进制值
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a0 = (k2['yao1'] + k2['yao2']*2 + k2['yao3']*4 +
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k2['yao4']*8 + k2['yao5']*16 + k2['yao6']*32)
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# 依次翻转每一爻，得到新卦的二进制值
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a1 = (k2['yao1'] + k2['yao2']*2 + k2['yao3']*4 +
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k2['yao4']*8 + k2['yao5']*16 + (1 - k2['yao6'])*32)
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a2 = (k2['yao1'] + k2['yao2']*2 + k2['yao3']*4 +
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k2['yao4']*8 + (1 - k2['yao5'])*16 + k2['yao6']*32)
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a3 = (k2['yao1'] + k2['yao2']*2 + k2['yao3']*4 +
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(1 - k2['yao4'])*8 + k2['yao5']*16 + k2['yao6']*32)
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a4 = (k2['yao1'] + k2['yao2']*2 + (1 - k2['yao3'])*4 +
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k2['yao4']*8 + k2['yao5']*16 + k2['yao6']*32)
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a5 = (k2['yao1'] + (1 - k2['yao2'])*2 + k2['yao3']*4 +
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k2['yao4']*8 + k2['yao5']*16 + k2['yao6']*32)
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a6 = ((1 - k2['yao1']) + k2['yao2']*2 + k2['yao3']*4 +
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k2['yao4']*8 + k2['yao5']*16 + k2['yao6']*32)
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# 结果列表
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result = pd.DataFrame()
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# 查找对应的卦象
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for a in [a0, a1, a2, a3, a4, a5, a6]:
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row = Map64Gua[Map64Gua['value_2binary'] == a]
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if not row.empty:
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result = pd.concat([result, row], ignore_index=True)
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return result
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