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# Accessing columns of a DataFrame using integer indices in Pandas

schedule Aug 10, 2023
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To access columns of a DataFrame using integer indices in Pandas, use the `DataFrame.iloc` property.

# Example

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,4],"B":[5,6]}, index=["a","b"])df A Ba 3 5b 4 6 ```

## Accessing a single column

To get the second column:

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

Here, the `:` before the comma indicates that we want to retrieve all rows. The `1` after the comma then indicates that we just want to fetch the second column.

## Accessing multiple columns

To get multiple columns, just pass in a list of integer indices after the comma:

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

You could also use slicing syntax like so:

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