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# Accessing rows of a DataFrame using integer indices in Pandas

schedule Aug 12, 2023
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To access rows of a DataFrame using integer indices in Pandas, use `DataFrame.iloc`.

# Example

Consider the following DataFrame:

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

## Accessing a single row

To get the second row:

``` df.iloc[1] # returns a Series A 4B 7Name: b, dtype: int64 ```

## Accessing multiple rows

To get multiple rows, pass in a list of integer indices like so:

``` df.iloc[[0,1]] # returns a DataFrame A Ba 3 6b 4 7 ```

You could also use slicing syntax like so:

``` df.iloc[0:2] A Ba 3 6b 4 7 ```

Here, the end range is exclusive.

Published by Isshin Inada
Edited by 0 others
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