not working on python 3.7

[Dipankar Pal]

error while calling linear_regression()
`python

ValueError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\pandas\core\internals\managers.py in create_block_manager_from_blocks(blocks, axes)
1650 blocks = [make_block(values=blocks[0],
-> 1651 placement=slice(0, len(axes[0])))]
1652

~\Anaconda3\lib\site-packages\pandas\core\internals\blocks.py in make_block(values, placement, klass, ndim, dtype, fastpath)
3094
-> 3095 return klass(values, ndim=ndim, placement=placement)
3096

~\Anaconda3\lib\site-packages\pandas\core\internals\blocks.py in init(self, values, placement, ndim)
86 'Wrong number of items passed {val}, placement implies '
---> 87 '{mgr}'.format(val=len(self.values), mgr=len(self.mgr_locs)))
88

ValueError: Wrong number of items passed 2, placement implies 14998

During handling of the above exception, another exception occurred:

ValueError Traceback (most recent call last)
in
1 # Run the by hand implementation
----> 2 by_hand_coefs = linear_regression(X, y)
3 print('Intercept calculated by hand:', by_hand_coefs[0])
4 print('Slope calculated by hand: ', by_hand_coefs[1])

in linear_regression(X, y)
3 def linear_regression(X, y):
4 # Equation for linear regression coefficients
----> 5 beta = np.matmul(np.matmul(np.linalg.inv(np.matmul(X.T, X)), X.T), y)
6 return beta

~\Anaconda3\lib\site-packages\pandas\core\generic.py in array_wrap(self, result, context)
1907 def array_wrap(self, result, context=None):
1908 d = self._construct_axes_dict(self._AXIS_ORDERS, copy=False)
-> 1909 return self._constructor(result, **d).finalize(self)
1910
1911 # ideally we would define this to avoid the getattr checks, but

~\Anaconda3\lib\site-packages\pandas\core\frame.py in init(self, data, index, columns, dtype, copy)
422 else:
423 mgr = init_ndarray(data, index, columns, dtype=dtype,
--> 424 copy=copy)
425
426 # For data is list-like, or Iterable (will consume into list)

~\Anaconda3\lib\site-packages\pandas\core\internals\construction.py in init_ndarray(values, index, columns, dtype, copy)
165 values = maybe_infer_to_datetimelike(values)
166
--> 167 return create_block_manager_from_blocks([values], [columns, index])
168
169

~\Anaconda3\lib\site-packages\pandas\core\internals\managers.py in create_block_manager_from_blocks(blocks, axes)
1658 blocks = [getattr(b, 'values', b) for b in blocks]
1659 tot_items = sum(b.shape[0] for b in blocks)
-> 1660 construction_error(tot_items, blocks[0].shape[1:], axes, e)
1661
1662

~\Anaconda3\lib\site-packages\pandas\core\internals\managers.py in construction_error(tot_items, block_shape, axes, e)
1689 raise ValueError("Empty data passed with indices specified.")
1690 raise ValueError("Shape of passed values is {0}, indices imply {1}".format(
-> 1691 passed, implied))
1692
1693

ValueError: Shape of passed values is (2, 2), indices imply (2, 14998)
`

[Dipankar Pal]

by_hand_coefs = linear_regression(X.values, y.values)
worked for me :)