Скачать или смотреть 9. loc, iloc, iat, at & ix Pandas Data Frame | Python Pandas Tutorial

In this video , I have explained loc, iloc, iat, at & ix Pandas Data Frame very clearly.


loc : Access A Group Of Rows And Columns By Label(s).


iloc: Access A Group Of Rows And Columns By Integer Position(s)


iat: Access a single value for a row/column pair by integer position,Similar to `iloc`, in that both provide integer-based lookups. Use`iat` if you only need to get or set a single value in a DataFrame or Series.


at: Access a single value for a row/column label pair. Similar to `loc`, in that both provide label-based lookups. Use `at` if you only need to get or set a single value in a DataFrame or Series.


ix: In pandas version 0.20.0 and above, ix is deprecated and the use of loc and iloc is encouraged instead.
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DataFrame:
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dict1 ={'Name':['Priyang','Aadhya','Krisha','Vedant','Parshv',
'Mittal','Archana'],
'Marks':[98,89,99,87,90,83,82],
'Grades':['AA','AB','AA','AB','AC','BA','BB']
}
df1=pd.DataFrame(dict1,index=['stu1','stu2','stu3','stu4','stu5',
'stu6','stu7'])


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