iloc and loc
iloc and loc are two important concepts when it comes to website accessibility. Both of them are important for making your content accessible to screen reader users. While there are many different terms used for the same thing, it can be hard to grasp what these terms mean, especially if you've been using websites that aren't web compatible yet.
How are iloc and loc different?
on Jun 18, 2022
>>> s = pd.Series(list("abcdef"), index=[49, 48, 47, 0, 1, 2])
49 a
48 b
47 c
0 d
1 e
2 f
>>> s.loc[0] # value at index label 0
'd'
>>> s.iloc[0] # value at index location 0
'a'
>>> s.loc[0:1] # rows at index labels between 0 and 1 (inclusive)
0 d
1 e
>>> s.iloc[0:1] # rows at index location between 0 and 1 (exclusive)
49 a0
How are iloc and loc different?
on Jun 18, 2022
df = pd.DataFrame({'col1': [1,2,3,4,5], 'col2': ["foo", "bar", "baz", "foobar", "foobaz"]})
col1 col2
0 1 foo
1 2 bar
2 3 baz
3 4 foobar
4 5 foobaz
df = df.sort_values('col1', ascending = False)
col1 col2
4 5 foobaz
3 4 foobar
2 3 baz
1 2 bar
0 1 foo
# value at index location (iloc)
df.iloc[0, 0:2]
col1 5
col2 foobaz
Name: 4, dtype: object
# value at index label (loc)
df.loc[0, 'col1':'col2']
col1 1
col2 foo
Name: 0, dtype: object0
retrieve row by index pandas
By 
Lazy Lion
on Apr 20, 2020
Lazy Lion
on Apr 20, 2020
rowData = dfObj.loc[ 'b' , : ]
Source: thispointer.com
1
iloc and loc
By Condemned Cowfish
on Jul 27, 2020
Condemned Cowfish
on Jul 27, 2020
iloc - default indexes (system generated)
loc - table indexes or we manually given indexes 0
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