python-xarray

问题 I want to download a subselection from GFS-ensemble data from an OpenDAP server via netCDF and xarray. However, when trying to load the subselection into memory, the program crashes after a while returning a RuntimeError (netCDF: I/O failure). The amount of data points I wish to obtain is 13650, therefore the data size should be easily handleable in Python. Oddly enough, I do not experience this problem when downloading GFS-data or NCEP-Reanalysis data. This makes me believe that the issue

问题 I want to download a subselection from GFS-ensemble data from an OpenDAP server via netCDF and xarray. However, when trying to load the subselection into memory, the program crashes after a while returning a RuntimeError (netCDF: I/O failure). The amount of data points I wish to obtain is 13650, therefore the data size should be easily handleable in Python. Oddly enough, I do not experience this problem when downloading GFS-data or NCEP-Reanalysis data. This makes me believe that the issue

问题 I want to download a subselection from GFS-ensemble data from an OpenDAP server via netCDF and xarray. However, when trying to load the subselection into memory, the program crashes after a while returning a RuntimeError (netCDF: I/O failure). The amount of data points I wish to obtain is 13650, therefore the data size should be easily handleable in Python. Oddly enough, I do not experience this problem when downloading GFS-data or NCEP-Reanalysis data. This makes me believe that the issue

问题 I am trying to efficiently restructure a large multidimentional dataset. Let assume I have a number of remotely sensed images over time with a number of bands with coordinates x y for pixel location, time for time of image acquisition, and band for different data collected. In my use case lets assume the xarray coord lengths are roughly x (3000), y (3000), time (10), with bands (40) of floating point data. So 100gb+ of data. I have been trying to work from this example but I am having trouble

问题 I am trying to efficiently restructure a large multidimentional dataset. Let assume I have a number of remotely sensed images over time with a number of bands with coordinates x y for pixel location, time for time of image acquisition, and band for different data collected. In my use case lets assume the xarray coord lengths are roughly x (3000), y (3000), time (10), with bands (40) of floating point data. So 100gb+ of data. I have been trying to work from this example but I am having trouble

来源： https://stackoverflow.com/questions/63608116/plot-fit-of-gamma-distribution-with-pymc3

来源： https://stackoverflow.com/questions/63608116/plot-fit-of-gamma-distribution-with-pymc3

来源： https://stackoverflow.com/questions/63608116/plot-fit-of-gamma-distribution-with-pymc3

来源： https://stackoverflow.com/questions/42538021/subsetting-xarray-dataset-with-respect-to-multiple-coordinates

来源： https://stackoverflow.com/questions/63898793/can-i-create-a-multivariate-normal-matrix-using-dask