interpolation can only be 'linear', 'lower' 'higher', 'midpoint', or 'nearest'

Package:

numpy

18118

Exception Class:

ValueError

Raise code

 interpolation == 'midpoint':
        indices = 0.5 * (floor(indices) + ceil(indices))
    elif interpolation == 'nearest':
        indices = around(indices).astype(intp)
    elif interpolation == 'linear':
        pass  # keep index as fraction and interpolate
    else:
        raise ValueError(
            "interpolation can only be 'linear', 'lower' 'higher', "
            "'midpoint', or 'nearest'")

    # The dimensions of `q` are prepended to the output shape, so we need the
    # axis being sampled from `ap` to be first.
    ap = np.moveaxis(ap, axis, 0)
    del axis

    if

Links to the raise (1)

https://github.com/numpy/numpy/blob/5f3c3181b5d8db0e430e5f605cc45c4392f04934/numpy/lib/function_base.py#L4063

Ways to fix

print("\tmax" + str (df(data).max()))

print("\tmin" + str (df(data).min()))

print()

Nov 25, 2022

yikwaimelda7 2

Invalid value of interpolation.

Reproducing the error:

pipenv install numpy

import numpy as np
a = np.array([[10, 7, 4], [3, 2, 1]])
result = np.quantile(a, 0.5,interpolation="linar")
print(result)

The error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-49-d479b5c19f3b> in <module>()
      2 
      3 a = np.array([[10, 7, 4], [3, 2, 1]])
----> 4 result = np.quantile(a, 0.5,interpolation="linar")
      5 print(result)

<__array_function__ internals> in quantile(*args, **kwargs)

/usr/local/lib/python3.7/dist-packages/numpy/lib/function_base.py in quantile(a, q, axis, out, overwrite_input, interpolation, keepdims)
   3843         raise ValueError("Quantiles must be in the range [0, 1]")
   3844     return _quantile_unchecked(
-> 3845         a, q, axis, out, overwrite_input, interpolation, keepdims)
   3846 
   3847 

/usr/local/lib/python3.7/dist-packages/numpy/lib/function_base.py in _quantile_unchecked(a, q, axis, out, overwrite_input, interpolation, keepdims)
   3851     r, k = _ureduce(a, func=_quantile_ureduce_func, q=q, axis=axis, out=out,
   3852                     overwrite_input=overwrite_input,
-> 3853                     interpolation=interpolation)
   3854     if keepdims:
   3855         return r.reshape(q.shape + k)

/usr/local/lib/python3.7/dist-packages/numpy/lib/function_base.py in _ureduce(a, func, **kwargs)
   3427         keepdim = (1,) * a.ndim
   3428 
-> 3429     r = func(a, **kwargs)
   3430     return r, keepdim
   3431 

/usr/local/lib/python3.7/dist-packages/numpy/lib/function_base.py in _quantile_ureduce_func(a, q, axis, out, overwrite_input, interpolation, keepdims)
   3912     else:
   3913         raise ValueError(
-> 3914             "interpolation can only be 'linear', 'lower' 'higher', "
   3915             "'midpoint', or 'nearest'")
   3916 

ValueError: interpolation can only be 'linear', 'lower' 'higher', 'midpoint', or 'nearest'

Fixed version:

import numpy as np
a = np.array([[10, 7, 4], [3, 2, 1]])
result = np.quantile(a, 0.5,interpolation="linear")
print(result)

Output:

3.5

Jul 31, 2021

kellemnegasi 31.6k

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