scipy for xarray
xr-scipy is a thin wrapper of scipy for the xarray eco-system.
Many scipy functions, such as scipy.integrate.trapz requires coordinate
array as an argument.
xr-scipy wraps these functions to use native coordinate objects of xarray
and returns an xarray object with the computed data.
This enables more xarray-oriented data analysis with scipy.
Other usage/options are kept almost the same as the original scipy function.
Example
In [1]: da = xr.DataArray([0, 3, 2, 4, 6], dims='x',
...: coords={'x': np.linspace(0, 1, 5)})
In [2]: da
Out[2]:
<xarray.DataArray (x: 5)>
array([0, 3, 2, 4, 6])
Coordinates:
* x (x) float64 0.0 0.25 0.5 0.75 1.0
In [3]: xrscipy.integrate.cumtrapz(da, coord='x')
Out[3]:
<xarray.DataArray (x: 5)>
array([0. , 0.375, 1. , 1.75 , 3. ])
Coordinates:
* x (x) float64 0.0 0.25 0.5 0.75 1.0