iloc in dataframe
df=pd.read_csv('yourcsv.csv')
X=df.iloc[:,:-1].values
y=df.iloc[:,1].valuesiloc in dataframe
df=pd.read_csv('yourcsv.csv')
X=df.iloc[:,:-1].values
y=df.iloc[:,1].valuesloc and iloc in pandas
iloc - default indexes (system generated)
loc - table indexes or we manually given indexeswhat is .iloc[:, 1:2].values
>>> type(df.iloc[0])
<class 'pandas.core.series.Series'>
>>> df.iloc[0]
a 1
b 2
c 3
d 4
Name: 0, dtype: int64how to use loc and iloc in pandas
>>> df.iloc[0, 1]
2return df.iloc[1:]
>>> df.iloc[1:3, 0:3]
a b c
1 100 200 300
2 1000 2000 3000iloc pandas
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.Copyright © 2021 Codeinu
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