Python數(shù)據(jù)分析基礎(chǔ)與應(yīng)用電子活頁(yè)4-12實(shí)現(xiàn)Pandas的遍歷操作

Python數(shù)據(jù)分析基礎(chǔ)與應(yīng)用模塊電子活頁(yè)4-12實(shí)現(xiàn)pandas的遍歷操作【技能訓(xùn)練4-16】實(shí)現(xiàn)pandas的遍歷操作【訓(xùn)練要求】在JupyterNotebook開發(fā)環(huán)境中創(chuàng)建j4-16.ipynb，然后編寫代碼實(shí)現(xiàn)pandas的遍歷操作。【實(shí)施過(guò)程】1．使用for循環(huán)進(jìn)行遍歷（1）使用for循環(huán)遍歷Series代碼如下：importpandasaspddata=np.array([167,145,123,212,104])s1=pd.Series(data)foritemins1:print(item)輸出結(jié)果：167145123212104（2）使用for循環(huán)遍歷DataFrame代碼如下：data={'date':pd.Series(['2022/1/1','2022/1/2','2022/1/3','2022/1/4','2022/1/5']),'highT':pd.Series([12,15,12,12,7]),'lowT':pd.Series([1,4,8,6,5]),'AQI':pd.Series([167,145,123,212,104])}df2=pd.DataFrame(data)forcolindf2:print(col)輸出結(jié)果：datehighTlowTAQI2．使用內(nèi)置迭代方法進(jìn)行遍歷（1）使用iteritems()函數(shù)以鍵值對(duì)的形式進(jìn)行遍歷代碼如下：forkey,valueindf2.iterrows():print(key)print(value)輸出結(jié)果：date02022/1/112022/1/222022/1/332022/1/442022/1/5Name:date,dtype:objecthighT01211521231247Name:highT,dtype:int64lowT0114283645Name:lowT,dtype:int64AQI01671145212332124104Name:AQI,dtype:int64（2）使用iterrows()函數(shù)以(row_index,row)的形式遍歷行代碼如下：forrow_index,rowindf2.iterrows():print(row_index)print(row)輸出結(jié)果：0date2022/1/1highT12lowT1AQI167Name:0,dtype:object1date2022/1/2highT15lowT4AQI145Name:1,dtype:object2date2022/1/3highT12lowT8AQI123Name:2,dtype:object3date2022/1/4highT12lowT6AQI212Name:3,dtype:object4date2022/1/5highT7lowT5AQI104Name:4,dtype:object【注意】使用iterrows()函數(shù)遍歷行的輸出結(jié)果中，0、1、2、3、4是行索引，而date、highT、lowT、AQT是列索引。（3）使用itertuples()函數(shù)以命名元組的方式遍歷行forrowindf2.itertuples():print(row)輸出結(jié)果：Pandas(Index=0,date='2022/1/1',highT=12,lowT=1,AQI=167)Pandas(Index=1,date='2022/1/2',highT=15,lowT=4,AQI=145)Pandas(Index=2,date='2022/1/3',highT=12,lowT=8,AQI=123)Pandas(Index=3,