import pandas as pd import StringIO table_buffer = StringIO.StringIO('''a b 2007-01-08 0.786667 270 2007-01-09 0.853333 280 2007-01-10 0.866667 282 2007-01-11 0.880000 277 2007-01-12 0.880000 266 2007-01-15 0.866667 279''') df = pd.read_table(table_buffer, sep='s+') def calc_c(row): if row.a > 0.5 and row.a < 0.9: return row.b else: return None df['c'] = df.apply(calc_c, axis=1) # 对于简单的条件可以用匿名函数 df['c'] = df.apply(lambda row: row.b if row.a > 0.5 and row.a < 0.9 else None, axis=1)
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