How to select rows and columns of a DataFrame using loc and iloc in pandas?

by Amrita Mitra | Nov 9, 2022 | Machine Learning Using Python, Python Pandas

Column 2. Similarly, df1.iloc[0:3, 0:2] selects the rows from indexes 0 to 2 (both inclusive) and columns 0 to 1 (both inclusive). And as we discussed, loc[] selects rows and columns of a DataFrame by using its labels. And iloc[] selects rows and columns of a DataFrame by using the indexes or rows and columns.

So, the output of the above program will be:

       Column 1  Column 2  Column 3
Row 1         1         2         3
Row 2         4         5         6
Row 3         7         8         9

df2: 
        Column 1  Column 2
Row 1         1         2
Row 2         4         5
Row 3         7         8
Type of df2:  <class 'pandas.core.frame.DataFrame'>
df3: 
        Column 1  Column 2
Row 1         1         2
Row 2         4         5
Row 3         7         8
Type of df3:  <class 'pandas.core.frame.DataFrame'>

Please note that both loc[] and iloc[] in this case return pandas DataFrame.

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