6

# x must be a one-dimensional array

Package:

tensorflow

158813

Exception Class:

ValueError

## Raise code

```
control_flow_ops.Assert(N >= 0, [N])
rank = array_ops.rank(x)
rank_temp = np_utils.get_static_value(rank)
if rank_temp is not None:
rank = rank_temp
if rank != 1:
raise ValueError('x must be a one-dimensional array')
else:
control_flow_ops.Assert(math_ops.equal(rank, 1), [rank])
if increasing:
start = 0
limit = N
delta = 1
```

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## Links to the raise (1)

https://github.com/tensorflow/tensorflow/blob/863af33dd172043502fcb9e4f63e09449a9b29f3/tensorflow/python/ops/numpy_ops/np_array_ops.py#L1324## See also in the other packages (1)

(❌️ No answer)

jax/x-must-be-a-one-dimensional-array/
## Ways to fix

2

*tf.experimental.numpy.vander** *

generate a Vandermonde matrix the same way as *numpy.vander*

.

*tf.experimental.numpy.vander*

*numpy.vander*

## Usage:

```
result = tf.experimental.numpy.vander(x,
N=None,
increasing=False )
```

x is the input array and N is the number of columns in the output. x should be a 1D array.

## Reproducing the error:

```
from tensorflow.experimental.numpy import vander
import numpy as np
x = np.array([[1, 2, 3, 5]])
N = 3
result = vander(x,N)
print(result)
```

## The error output:

```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-1-b623fd1eef2a> in <module>
3 x = np.array([[1, 2, 3, 5]])
4 N = 3
----> 5 result = vander(x,N)
~/my_env_project/lib/python3.8/site-packages/tensorflow/python/ops/numpy_ops/np_array_ops.py in vander(x, N, increasing)
1316 rank = rank_temp
1317 if rank != 1:
-> 1318 raise ValueError('x must be a one-dimensional array')
1319 else:
1320 control_flow_ops.Assert(math_ops.equal(rank, 1), [rank])
ValueError: x must be a one-dimensional array
```

## Fix:

Make sure the x is 1D array.

```
from tensorflow.experimental.numpy import vander
import numpy as np
x = np.array([1, 2, 3, 5])
N = 3
result = vander(x,N)
print(result)
```

## Output:

tf.Tensor( [[ 1 1 1] [ 4 2 1] [ 9 3 1] [25 5 1]], shape=(4, 3), dtype=int64)

### Add a possible fix

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