 7

# 'percentiles' must be a sequence of 2 elements.

Exception Class:
ValueError

## Raise code

``````"""

values : list of 1d ndarrays
The values with which the grid has been created. The size of each
array ``values[j]`` is either ``grid_resolution``, or the number of
unique values in ``X[:, j]``, whichever is smaller.
"""
if not isinstance(percentiles, Iterable) or len(percentiles) != 2:
raise ValueError("'percentiles' must be a sequence of 2 elements.")
if not all(0 <= x <= 1 for x in percentiles):
raise ValueError("'percentiles' values must be in [0, 1].")
if percentiles >= percentiles:
raise ValueError('percentiles must be strictly less '
'than percentiles.')

if grid_resolution <= 1:``````
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## Ways to fix 3 _partial_dependence. _grid_from_X is used to Generate a grid of points based on the percentiles of X. The `percentiles` parameter is used to specify the percentiles which are used to construct the extreme values of the grid should be a tuple of 2 float elements.

## Reproducing the error:

```pipenv install sklearn numpy
```

```import numpy as np
from sklearn.inspection._partial_dependence import _grid_from_X
percentiles = (.05, .90,0.05)
grid_resolution = 100
X = np.asarray([[1, 2],[3, 4]])

grid, axes = _grid_from_X(X, percentiles, grid_resolution)
print(grid,axes)
```

## Fixed version of the code:

```import numpy as np
from sklearn.inspection._partial_dependence import _grid_from_X
percentiles = (.05, .95,)
grid_resolution = 100
X = np.asarray([[1, 2],[3, 4]])

grid, axes = _grid_from_X(X, percentiles, grid_resolution)
print(grid,axes)
```

```---------------------------------------------------------------------------

ValueError                                Traceback (most recent call last)

<ipython-input-37-088e218c99c1> in <module>()
5 X = np.asarray([[1, 2],[3, 4]])
6
----> 7 grid, axes = _grid_from_X(X, percentiles, grid_resolution)
8 print(grid,axes)

/usr/local/lib/python3.7/dist-packages/sklearn/inspection/_partial_dependence.py in _grid_from_X(X, percentiles, grid_resolution)
71     """
72     if not isinstance(percentiles, Iterable) or len(percentiles) != 2:
---> 73         raise ValueError("'percentiles' must be a sequence of 2 elements.")
74     if not all(0 <= x <= 1 for x in percentiles):
75         raise ValueError("'percentiles' values must be in [0, 1].")

ValueError: 'percentiles' must be a sequence of 2 elements.
```

## Output:

```[[1 2]
[1 4]
[3 2]
[3 4]] [array([1, 3]), array([2, 4])]
```