netcdf4

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 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 How can I get the default fill values using netcdf4-python? According to this issue one can get it via netCDF4._default_fillvals , but this gives AttributeError: module 'netCDF4' has no attribute '_default_fillvals' 1.5.0.1. The information is available somewhere, because print(v) tells me filling on, default _FillValue of 9.969209968386869e+36 used . Unfortunately the file has not set the fill value attribute. Short of parsing the output of v.__repr__() , how can I find the default fill

问题 How can I get the default fill values using netcdf4-python? According to this issue one can get it via netCDF4._default_fillvals , but this gives AttributeError: module 'netCDF4' has no attribute '_default_fillvals' 1.5.0.1. The information is available somewhere, because print(v) tells me filling on, default _FillValue of 9.969209968386869e+36 used . Unfortunately the file has not set the fill value attribute. Short of parsing the output of v.__repr__() , how can I find the default fill

问题 How can I get the default fill values using netcdf4-python? According to this issue one can get it via netCDF4._default_fillvals , but this gives AttributeError: module 'netCDF4' has no attribute '_default_fillvals' 1.5.0.1. The information is available somewhere, because print(v) tells me filling on, default _FillValue of 9.969209968386869e+36 used . Unfortunately the file has not set the fill value attribute. Short of parsing the output of v.__repr__() , how can I find the default fill

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

问题 I am trying to download a set of NetCDF files from: ftp://ftpprd.ncep.noaa.gov/pub/data/nccf/com/nwm/prod/nwm.20180425/medium_range/ When I manually download the files I have no issues connecting, but when I use download.file and attempt to connect I get the following error: Assertion failed! Program: C:\Program Files\Rstudio\bin\rsession.exe File: nc4file.c, Line 2771 Expression: 0 This application has requested the Runtime to terminate it in an unusual way. Please contact the application's

问题 I have a netcdf file with a timeseries and the time variable has the following typical metadata: double time(time) ; time:standard_name = "time" ; time:bounds = "time_bnds" ; time:units = "days since 1979-1-1 00:00:00" ; time:calendar = "standard" ; time:axis = "T" ; Inside R I want to convert the time into an R date object. I achieve this at the moment in a hardwired way by reading the units attribute and splitting the string and using the third entry as my origin (thus assuming the spacing