Fix typos.

Author: milosz-martynow

pandas/core/generic.py

@@ -7249,13 +7249,13 @@ def interpolate(
             * 'pad': Fill in NaNs using existing values.
             * 'nearest', 'zero', 'slinear', 'quadratic', 'cubic',
               'barycentric', 'polynomial': Passed to
-              `scipy.interpolate.interp1d`, whereas 'spline' is assed to
+              `scipy.interpolate.interp1d`, whereas 'spline' is passed to
               `scipy.interpolate.UnivariateSpline`. These methods use the numerical
               values of the index.  Both 'polynomial' and 'spline' require that
               you also specify an `order` (int), e.g.
-              ``df.interpolate(method='polynomial', order=5)``. Note that, Scipy
-              `slinear` method refers to the Scipy first order spline instead
-              of Pandas first order spline.
+              ``df.interpolate(method='polynomial', order=5)``. Note that,
+              `slinear` method in Pandas refers to the Scipy first order `spline` instead
+              of Pandas first order `spline`.
             * 'krogh', 'piecewise_polynomial', 'spline', 'pchip', 'akima',
               'cubicspline': Wrappers around the SciPy interpolation methods of
               similar names. See `Notes`.