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# Accessing rows of a 2D NumPy array

NumPy

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*schedule*Jul 1, 2022

local_offer Python●NumPy

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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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Published by Isshin Inada

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