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# Accessing rows of a 2D NumPy array

schedule Aug 10, 2023
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PythonNumPy
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In Numpy, we use the `[]` syntax to access particular rows of a 2D Numpy array.

Suppose we have the following 2D Numpy array:

``` x = np.array([[1,2], [3,4], [5,6]])x array([[1, 2], [3, 4], [5, 6]]) ```

# Access the first row

``` x[0] [1, 2] ```

# Access all rows from positions 1 to 2

``` x[1:3] [[3, 4], [5, 6]] ```

Just as reference, we show our 2D Numpy array `x` here again:

``` [[1, 2], [3, 4], [5, 6]] ```

# Access all rows up until (exclusive) position 2:

``` x[:2] [[1, 2], [3, 4]] ```

# Access all rows from position 1 onwards

``` x[1:] [[3, 4], [5, 6]] ```

# Accessing the last row

``` x[-1] [5, 6] ```
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