Python: Extract different columns and assign to a new dataframe
Question:
I have this df:
A B C D
1 2 3 4
I want to extract columns 0:1 and 3rd one
But first thought would be:
X = DS.iloc[:, 0:1:3].values
But, this approach does not work
Answers:
If really you need to work with ranges, use numpy.r_ to combine them:
out = df.iloc[:, np.r_[0:2,3]]
If you know the columns, be explicit:
out = df[['A', 'B', 'D']]
Output:
A B D
0 1 2 4
I have this df:
A B C D
1 2 3 4
I want to extract columns 0:1 and 3rd one
But first thought would be:
X = DS.iloc[:, 0:1:3].values
But, this approach does not work
If really you need to work with ranges, use numpy.r_ to combine them:
out = df.iloc[:, np.r_[0:2,3]]
If you know the columns, be explicit:
out = df[['A', 'B', 'D']]
Output:
A B D
0 1 2 4