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I have been working with x-array. How do we reshape the array? Is there any method like re-shape in NumPy? 

temp = data['__xarray_dataarray_variable__'][:, :, :]

The above line of code selects all the 3 dimensions of the x-array. Ie the shape of the array is (5, 2, 1). How do I change the x-array so that it is of the form (5*2, 1). Thanks in advance.

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Xarray syntax is a bit unintuitive. In any case, you can use stack for this:

temp = temp.stack(dim_new=['dim_0','dim_1'])

Assuming originally it was an xarray of shape (dim_0: 5, dim_1: 2, dim_2: 1), temp will then become an xarray with dimensions (dim_2: 1, dim_new: 10). You can further apply temp.transpose('dim_new','dim_2') to get it to (10,1) shape.

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Here I added 0.01 to the values of xarray because earlier it showed that log of 0 is infinite.
So with your solution I could get my xarray in the required form but when I try to plot it, I get some wierd error. plt.figure(figsize=(3,5)) data_slice = temp1[:, :] xr.ufuncs.log(data_slice + 0.01).plot(cmap='magma', vmin=0, vmax = max_value*.7). Here I am getting the error ----> Plotting requires coordinates to be numeric or dates of type np.datetime64, datetime.datetime, cftime.datetime or pd.Interval. Also i cannot find the variable 'xarray_dataarray_variable' . How do I solve there errors.
I can't really tell without seeing your array and your code. It's likely there's some sort of formatting error. Can you try converting it to a numpy array and then plot?

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