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0 answers
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I'm trying to load some .nc files this way: ds = xr.open_dataset('path/to/file.nc') At first I get no error message, but when I try to operate or simply visualize the data I get this really long ...
Ramiro chalar's user avatar
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2 votes
1 answer
99 views

I have an xarray DataArray that contains daily data for every day from 1970 to 2023 for the months October through March, and I want to calculate the average value of the variable for each day (e.g. ...
Anerdw's user avatar
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3 votes
0 answers
91 views

I am trying to analyze the 30 day standardized precipitation index for a multi-state range of the southeastern US for the year 2016. I'm using xclim to process a direct pull of gridded daily ...
user32510748's user avatar
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3 votes
1 answer
830 views

An example HRRR file I'm trying to open with xarray: https://storage.googleapis.com/high-resolution-rapid-refresh/hrrr.20250427/conus/hrrr.t18z.wrfprsf06.grib2 When trying to open the dataset with ...
Robert Ribas's user avatar
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0 votes
1 answer
98 views

I am trying to read multiple ERA5 GRIB files using the Python Xarray's xr.mfopen_dataset() method. My ERA5 input files are on a server in a location where I only have read permission for. Therefore, I ...
marc_s's user avatar
  • 761k
0 votes
2 answers
70 views

I have 2 elevation datasets -- one is a low resolution dataset (~0.1 degree resolution), and another is a high resolution dataset (~0.001 degree resolution). Let's assume that the datasets look ...
4ndyJ's user avatar
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0 votes
1 answer
65 views

I am wondering how to add the crs to xarray dataset. For example if we have a min and max dataset and compute the mean. How can we set the mean dataset to have the same CRS as the min or max datasets ?...
Stas Simonov's user avatar
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0 votes
0 answers
30 views

There has been at least one other question regarding the introduction of new dimensions in the output of xarray.apply_ufunc; I have two problems with this answer: First, I feel like the answer avoids ...
derM's user avatar
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1 vote
2 answers
342 views

I am looking for a way to return the interpolated coordinate value of a variable at a query variable value. I think it is the opposite use to a normal interpolation/table-look up. For example, here is ...
JoSeis's user avatar
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0 votes
0 answers
97 views

Very new to python! I am trying to model bottom water temperatures over time and need to reduce the resolution of my model from 1/20º to 1º. My ultimate goal is to map this and select specific grid ...
Alexis's user avatar
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2 votes
0 answers
90 views

I’m trying to subset a large xarray.Dataset backed by Dask and save it back to Zarr, but I’m running into a major memory problem when attempting to drop rows with a boolean mask. Here’s a minimal ...
Gary Frewin's user avatar
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19 votes
5 answers
7k views

I have a 1D array of independent variable values (x_array) that match the timesteps in a 3D numpy array of spatial data with multiple time-steps (y_array). My actual data is much larger: 300+ ...
Robbi Bishop-Taylor's user avatar
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2 votes
2 answers
128 views

I have a dataset that I need to convert into a rioxarray dataset so I can use regridding features but I can't work out how to convert an already existing xarray object to rioxarray. Unfortunately I ...
Lavi Kumar's user avatar
  • 407
0 votes
1 answer
81 views

I'm working in a Jupyter Notebook using Python 3.12. I have a 2D xarray (in reality, it's 3D, but we can treat it as 2D). I want to pull out the values based on indices I acquire elsewhere, and then ...
DaveL17's user avatar
  • 2,095
3 votes
2 answers
2k views

The default backend engine for xarray is set to netcdf4 in this function What is the best way to make h5netcdf the default engine in xarray?
kmuehlbauer's user avatar
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