Pandas按照行、列进行求和 基础数据：data_test= pd.DataFrame([ ['张三',1,1], ['李四',2,2], ['张三',3,3], ['张三',4,4], ['王五',5,5], ['王五',6,6,], ['赵六',7,7] ], columns =['name','number_1','number_2'] )使用1值表示沿着每一行或者列标签模向0.行对应的方法data_test['axis_1']=data_test.loc[:,['number_1','number_2']].apply(lambda x:x.sum(),axis=1)使用0值表示沿着每一列或行标签\索引值向下执行方法data_test.loc['axis_0']=data_test.loc[:,['number_1','number_2','axis_1']].apply(lambda x:x.sum())