I have a DataArray that has four dimension, as you can see time has a size of 0:
<xarray.DataArray (color: 3, time: 0, y: 297, x: 496)>
array([], shape=(3, 0, 297, 496), dtype=float64)
Coordinates:
* y (y) float64 -3.199e+06 -3.199e+06 -3.199e+06 -3.199e+06 ...
* x (x) float64 1.966e+06 1.966e+06 1.966e+06 1.966e+06 1.966e+06 ...
* color (color) 'red' 'green' 'blue'
* time (time) datetime64[ns]
I need my DataArray to be in the format ('Y','X','color') however when I try to get rid of the time dimension using squeeze:
new_darray = old_darray.squeeze('time')
this happens:
IndexError: index 0 is out of bounds for axis 0 with size 0
and when I try this:
new_darray = old_darray[:,0,:,:]
this happens too:
IndexError: index 0 is out of bounds for axis 0 with size 0
You can't index or squeeze out a size 0 dimension, in either xarray or NumPy. That would entail transforming an empty array of size 3 * 0 * 279 * 496 = 0
into an array full of data of size 3 * 279 * 496 = 415152
. Where would the new data come from?