使用Python的Dataframe取两列时间值相差一年的所有行方法
在使用Python处理数据时，经常需要对数据筛选。
这是在对时间筛选时，判断两列时间是否相差一年，如果是，则返回符合条件的所有列。
data原始数据：
data[map(lambdax:datetime.date(x.year-1,x.month,x.day),data['report_date'])==data['date_1y_ago']] company_idsignal_code_xsignal_value_xreport_datesignal_code_ysignal_value_yreport_date_lastdate_1y_ago 02154888r_10020300000.626602015-09-30r_10020300000.641452015-12-312014-12-31 12154888r_10020300000.641452015-12-31r_10020300000.641452015-12-312014-12-31 22154888r_10020300000.605442015-03-31r_10020300000.641452015-12-312014-12-31 32154888r_10020300000.549112014-12-31r_10020300000.641452015-12-312014-12-31 42154888r_10020300000.613792015-06-30r_10020300000.641452015-12-312014-12-31 51702887r_10020300000.621732014-03-31r_10020300000.511032015-03-312014-03-31 61702887r_10020300000.551752014-12-31r_10020300000.511032015-03-312014-03-31 71702887r_10020300000.511032015-03-31r_10020300000.511032015-03-312014-03-31 81702887r_10020300000.586962014-06-30r_10020300000.511032015-03-312014-03-31 913484491r_10020300000.176582014-12-31r_10020300000.410822015-12-312014-12-31 1013484491r_10020300000.410822015-12-31r_10020300000.410822015-12-312014-12-31 1113484491r_10020300000.392202015-09-30r_10020300000.410822015-12-312014-12-31
筛选后的数据：
company_idsignal_code_xsignal_value_xreport_datesignal_code_ysignal_value_yreport_date_lastdate_1y_ago 12154888r_10020300000.641452015-12-31r_10020300000.641452015-12-312014-12-31 71702887r_10020300000.511032015-03-31r_10020300000.511032015-03-312014-03-31 1013484491r_10020300000.410822015-12-31r_10020300000.410822015-12-312014-12-31
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