Iloc Pandas Code Example

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.