Category : multidimensional-array

I have MxNxT xarray with the following dimensions and coordinates: <xarray.DataArray (gridcell: 238, window: 9, traits: 3)> dask.array<where, shape=(238, 9, 3), dtype=float32, chunksize=(14, 9, 3), chunktype=numpy.ndarray> Coordinates: band (traits) int32 dask.array<chunksize=(3,), meta=np.ndarray> spatial_ref int32 0 * traits (traits) <U7 ‘trait_1’ ‘trait_2’ ‘trait_3’ * gridcell (gridcell) MultiIndex – latitude (gridcell) float64 6.054e+06 6.054e+06 … 6.054e+06 6.054e+06 ..

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I have a list with nested sublists like this: my_list = {‘active’: {‘type’: ‘boolean’, ‘string’: ‘Active’}, ‘name’: {‘type’: ‘char’, ‘string’: ‘Title’}, ‘description’: {‘type’: ‘html’, ‘string’: ‘Description’}, ‘priority’: {‘type’: ‘selection’, ‘string’: ‘Priority’}, ‘product’: {‘type’: ‘char’, ‘help’: ‘Selected product by user’, ‘string’: ‘Product’}} You can notice that sublists doesn’t have always the same content: ‘type’, ‘string’ and ..

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I have a vector whose elements are : a_i(m,n)= sum_j y_i*y_j*m*n . I want to generate a contour plot for each element a_i by varying m and n. To do this I have written the following code: y=np.array([0.09,0.09,0.09]) def a(m,n): b=np.zeros((3)) for i in range(len(y)): for j in range(len(y)): b[j]=b[j]+ ((y[i]*y[j])*m*n) return (b) m=np.linspace(0,10,1000) n=np.linspace(0,10,1000) ..

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