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# Getting columns using integer index in Pandas DataFrame

schedule Aug 10, 2023
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To get columns using integer index in Pandas DataFrame, use the `iloc` property.

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[1,2,3],"B":[4,5,6],"C":[7,8,9]}, index=["a","b","c"])df A B Ca 1 4 7b 2 5 8c 3 6 9 ```

# Getting single column using integer index

To get the column at the 1st integer index:

``` df.iloc[:,1]   # returns a Series a 4b 5c 6Name: B, dtype: int64 ```

Here, the `:` before the comma means we want to fetch all rows.

# Getting multiple columns using integer indexes

To get the columns at the 1st and 2nd integer indexes:

``` df.iloc[:,[1,2]]   # returns a DataFrame B Ca 4 7b 5 8c 6 9 ```

# Using slicing syntax

To get columns using slicing syntax:

``` df.iloc[:,0:2]   # returns a DataFrame A Ba 1 4b 2 5c 3 6 ```
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