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Comments on How to resolve a "ValueError: dimension 't' already exists as a scalar variable" arising when I am using xarray.Dataset.assign_coords()?
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How to resolve a "ValueError: dimension 't' already exists as a scalar variable" arising when I am using xarray.Dataset.assign_coords()?
I have the following xarray Dataset:
d: <xarray.Dataset>
Dimensions: (x: 79, y: 63, t: 1)
Coordinates:
* x (x) float64 0.9412 1.882 2.824 3.765 ... 71.53 72.47 73.41 74.35
* y (y) float64 59.29 58.35 57.41 56.47 ... 3.765 2.824 1.882 0.9412
* t (t) int32 0
Data variables:
u (x, y, t) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0
v (x, y, t) float64 -0.0 -0.0 -0.0 -0.0 -0.0 ... -0.0 -0.0 -0.0 -0.0
chc (x, y, t) float64 1.0 1.0 1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 1.0 1.0
Attributes: (2)
When I try to assign new values to the coordinate t, using d = d.assign_coords(t = 0.123), I receive an error:
ValueError: dimension 't' already exists as a scalar variable
How can I resolve the error and assign a new value to the t coordinate?
I have tried the solutions to the similar problems posted on Stack Overflow, such as
-
assign_coordsis not an inplace operation - recreate
tas a coordinate and then assign the value to it - change the type of
ttofloat - using dictionary:
d = d.assign_coords({'t':0.123})
I suspect that the asterisk next to the name of my coordinate t has something to do with the error. But I don't understand what it means; I could only find that it is a reference to something called "proper coordinate".
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