Snippet 1
>>> type(df.iloc[0])
>>> df.iloc[0]
a 1
b 2
c 3
d 4
Name: 0, dtype: int64
Snippet 2
>>> df.iloc[0, 1]
2
Snippet 3
iloc - default indexes (system generated)
loc - table indexes or we manually given indexes
Snippet 4
df=pd.read_csv('yourcsv.csv')
X=df.iloc[:,:-1].values
y=df.iloc[:,1].values
Snippet 5
>>> df.iloc[[0, 1]]
a b c d
0 1 2 3 4
1 100 200 300 400
Snippet 6
Purely integer-location based indexing for selection by position.
.iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array.
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