netCDF4 の #Python 版ライブラリの未初期化変数アクセスに起因するバグを踏んだので、PRを送って、マージしてもらえた。結構使われてるライブラリだと思っていたので、ちょっと意外だった。
github.com/Unidata/netc...
github.com/Unidata/netc...
Fix random "only endian='native' allowed for NETCDF3 files" error by msakai · Pull Request #1355 · Unidata/netcdf4-python
When I open NetCDF3 files using netCDF4.Dataset(filename, "r"), I sometimes get the following errors and sometimes not.
File "src/netCDF4/_netCDF4.pyx", line 2489, in netCDF4....
github.com
August 23, 2024 at 4:46 AM
netCDF4 の #Python 版ライブラリの未初期化変数アクセスに起因するバグを踏んだので、PRを送って、マージしてもらえた。結構使われてるライブラリだと思っていたので、ちょっと意外だった。
github.com/Unidata/netc...
github.com/Unidata/netc...
Just did an inventory of my 8 conda environments:
7 different versions of numpy, pandas, scipy
6 different versions of matplotlib, python, requests
5 different versions of cartopy, tropycal, xarray
4 different versions of metpy, pint, shapely
3 different versions of geopandas, netcdf4
🤣😢
7 different versions of numpy, pandas, scipy
6 different versions of matplotlib, python, requests
5 different versions of cartopy, tropycal, xarray
4 different versions of metpy, pint, shapely
3 different versions of geopandas, netcdf4
🤣😢
May 23, 2024 at 3:37 PM
Just did an inventory of my 8 conda environments:
7 different versions of numpy, pandas, scipy
6 different versions of matplotlib, python, requests
5 different versions of cartopy, tropycal, xarray
4 different versions of metpy, pint, shapely
3 different versions of geopandas, netcdf4
🤣😢
7 different versions of numpy, pandas, scipy
6 different versions of matplotlib, python, requests
5 different versions of cartopy, tropycal, xarray
4 different versions of metpy, pint, shapely
3 different versions of geopandas, netcdf4
🤣😢
Amaldiçoo o primeiro ser que decidiu criar um arquivo format netcdf4 e todas as suas gerações
March 21, 2025 at 5:17 PM
Amaldiçoo o primeiro ser que decidiu criar um arquivo format netcdf4 e todas as suas gerações
easy_install. It was easy_install.
pip itself isn't horrible, it was the issues with binary compatibility, which was really bad when you needed tools like numpy, gdal, and netcdf4 to work together. It is better now, but conda really nails it.
pip itself isn't horrible, it was the issues with binary compatibility, which was really bad when you needed tools like numpy, gdal, and netcdf4 to work together. It is better now, but conda really nails it.
October 18, 2024 at 3:59 PM
easy_install. It was easy_install.
pip itself isn't horrible, it was the issues with binary compatibility, which was really bad when you needed tools like numpy, gdal, and netcdf4 to work together. It is better now, but conda really nails it.
pip itself isn't horrible, it was the issues with binary compatibility, which was really bad when you needed tools like numpy, gdal, and netcdf4 to work together. It is better now, but conda really nails it.
Unidata is responsible for developing, maintaining, and supporting software such as:
NetCDF4
MetPy
LDM
AWIPS2 Public version
GEMPAK
THREDDS
They also support realtime data access via a public EDEX server, THREDDS, and more.
NetCDF4
MetPy
LDM
AWIPS2 Public version
GEMPAK
THREDDS
They also support realtime data access via a public EDEX server, THREDDS, and more.
Due to the current gap in funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program is pausing most operations effective 12 May 2025. Nearly all staff will be furloughed until funds from our existing NSF grant become available. For more information, see buff.ly/d2TC1Oy
NSF Unidata Pause in Most Operations
NSF Unidata Pause in Most Operations
www.unidata.ucar.edu
May 9, 2025 at 4:18 PM
Unidata is responsible for developing, maintaining, and supporting software such as:
NetCDF4
MetPy
LDM
AWIPS2 Public version
GEMPAK
THREDDS
They also support realtime data access via a public EDEX server, THREDDS, and more.
NetCDF4
MetPy
LDM
AWIPS2 Public version
GEMPAK
THREDDS
They also support realtime data access via a public EDEX server, THREDDS, and more.
Something every #EarthScienceData person loves. A simpler process.
Check out the presentation with Eni Awowale from NASA Goddard on "Simplifying analysis of hierarchical HDF5 and NetCDF4 files with xarray.Datatree"
➡️ Full presentation: youtu.be/rdlAYNa3QCM?...
Check out the presentation with Eni Awowale from NASA Goddard on "Simplifying analysis of hierarchical HDF5 and NetCDF4 files with xarray.Datatree"
➡️ Full presentation: youtu.be/rdlAYNa3QCM?...
IT&I: Simplifying analysis of hierarchical HDF5 and NetCDF4 files with xarray.Datatree
YouTube video by ESIP
youtu.be
February 14, 2025 at 4:49 PM
Something every #EarthScienceData person loves. A simpler process.
Check out the presentation with Eni Awowale from NASA Goddard on "Simplifying analysis of hierarchical HDF5 and NetCDF4 files with xarray.Datatree"
➡️ Full presentation: youtu.be/rdlAYNa3QCM?...
Check out the presentation with Eni Awowale from NASA Goddard on "Simplifying analysis of hierarchical HDF5 and NetCDF4 files with xarray.Datatree"
➡️ Full presentation: youtu.be/rdlAYNa3QCM?...
📊 Data Analysis
• pandas, polars, duckdb
• pyarrow, fastparquet
🔢 Numerical & Scientific Computing
• numpy, scipy, xarray
• sympy, netcdf4, mpmath, uncertainties
📈 Machine Learning & Statistics
• scikit-learn, xgboost, lightgbm
• statsmodels, patsy, river
• pandas, polars, duckdb
• pyarrow, fastparquet
🔢 Numerical & Scientific Computing
• numpy, scipy, xarray
• sympy, netcdf4, mpmath, uncertainties
📈 Machine Learning & Statistics
• scikit-learn, xgboost, lightgbm
• statsmodels, patsy, river
July 2, 2025 at 8:00 PM
📊 Data Analysis
• pandas, polars, duckdb
• pyarrow, fastparquet
🔢 Numerical & Scientific Computing
• numpy, scipy, xarray
• sympy, netcdf4, mpmath, uncertainties
📈 Machine Learning & Statistics
• scikit-learn, xgboost, lightgbm
• statsmodels, patsy, river
• pandas, polars, duckdb
• pyarrow, fastparquet
🔢 Numerical & Scientific Computing
• numpy, scipy, xarray
• sympy, netcdf4, mpmath, uncertainties
📈 Machine Learning & Statistics
• scikit-learn, xgboost, lightgbm
• statsmodels, patsy, river
How easy is it to get SounderPy to read WRF output? Can it easily read a WRF netCDF4?
November 16, 2024 at 6:26 PM
How easy is it to get SounderPy to read WRF output? Can it easily read a WRF netCDF4?
𝗘𝗰𝗵𝗼𝘃𝗶𝗲𝘄 𝟭𝟲 𝗶𝘀 𝗵𝗲𝗿𝗲! Go from raw echosounder and sonar data to actionable insights with expanded file support, conversion to @icesmarine.bsky.social SONAR-netCDF4 format, wideband echointegration, smarter maps, bubble plots & new Interval Analysis operators, and more!
🔗 echoview.com/news-and-eve...
🔗 echoview.com/news-and-eve...
October 14, 2025 at 3:02 AM
𝗘𝗰𝗵𝗼𝘃𝗶𝗲𝘄 𝟭𝟲 𝗶𝘀 𝗵𝗲𝗿𝗲! Go from raw echosounder and sonar data to actionable insights with expanded file support, conversion to @icesmarine.bsky.social SONAR-netCDF4 format, wideband echointegration, smarter maps, bubble plots & new Interval Analysis operators, and more!
🔗 echoview.com/news-and-eve...
🔗 echoview.com/news-and-eve...
I wrote a special module for it, it's not difficult, more so annoying lol.
With the module, it's as easy as passing a netcdf4 dataset obj of your data and a lat/lon in a build_wrf_sounding() function
With the module, it's as easy as passing a netcdf4 dataset obj of your data and a lat/lon in a build_wrf_sounding() function
November 16, 2024 at 6:42 PM
I wrote a special module for it, it's not difficult, more so annoying lol.
With the module, it's as easy as passing a netcdf4 dataset obj of your data and a lat/lon in a build_wrf_sounding() function
With the module, it's as easy as passing a netcdf4 dataset obj of your data and a lat/lon in a build_wrf_sounding() function
We’re also looking for volunteer reviewers! We’d love to find someone with expertise in atmospheric sciences and an interest in raindrop size distribution to help review the disdrodb Python package.
☔ Learn more about disdrodb: https://buff.ly/4eKHBRr
💜 Apply today: buff.ly/4dxYpua
☔ Learn more about disdrodb: https://buff.ly/4eKHBRr
💜 Apply today: buff.ly/4dxYpua
October 4, 2024 at 4:20 PM
We’re also looking for volunteer reviewers! We’d love to find someone with expertise in atmospheric sciences and an interest in raindrop size distribution to help review the disdrodb Python package.
☔ Learn more about disdrodb: https://buff.ly/4eKHBRr
💜 Apply today: buff.ly/4dxYpua
☔ Learn more about disdrodb: https://buff.ly/4eKHBRr
💜 Apply today: buff.ly/4dxYpua
why in #xarray a simple operation such as querying what are the different group's name is stored in a netcdf involves using backend calls? the same operation so much easier if using the #netCDF4 module.
I wasted 2 hours figuring out that group name identification is easier using netCDF4. #python
I wasted 2 hours figuring out that group name identification is easier using netCDF4. #python
November 3, 2025 at 5:38 PM
science peeps why is xarray so popular if it's so slow I've been waiting for 40 minutes for something to run that I could have written and run in less than 10 minutes with netcdf4 and numpy
May 21, 2025 at 7:46 PM
science peeps why is xarray so popular if it's so slow I've been waiting for 40 minutes for something to run that I could have written and run in less than 10 minutes with netcdf4 and numpy
1. They are ribbing me
2. That is an oversimplified description of conda
3. The hard-to-build packages like HDF5, NetCDF4, and GDAL are in my day-to-day dependency chain
4. At the moment, I have no reason to believe than any other python tool would work, either.
2. That is an oversimplified description of conda
3. The hard-to-build packages like HDF5, NetCDF4, and GDAL are in my day-to-day dependency chain
4. At the moment, I have no reason to believe than any other python tool would work, either.
November 14, 2025 at 9:18 PM
1. They are ribbing me
2. That is an oversimplified description of conda
3. The hard-to-build packages like HDF5, NetCDF4, and GDAL are in my day-to-day dependency chain
4. At the moment, I have no reason to believe than any other python tool would work, either.
2. That is an oversimplified description of conda
3. The hard-to-build packages like HDF5, NetCDF4, and GDAL are in my day-to-day dependency chain
4. At the moment, I have no reason to believe than any other python tool would work, either.
QGIS peeps, little help here, what do you do when qgis does not display a netcdf4 file despite the correct projection?
March 6, 2025 at 1:01 AM
QGIS peeps, little help here, what do you do when qgis does not display a netcdf4 file despite the correct projection?
Origin
archlinux.org
October 24, 2025 at 5:57 AM
Ah ok yeah that makes sense. When using OPENDAP, I had to set my engine='netcdf4' when opening the data via xarray. One long-term part of the wxdata project (definitely not at launch) will be to download climate data as well which that is .nc rather than .grib2 which should be nice.
September 19, 2025 at 3:06 AM
Ah ok yeah that makes sense. When using OPENDAP, I had to set my engine='netcdf4' when opening the data via xarray. One long-term part of the wxdata project (definitely not at launch) will be to download climate data as well which that is .nc rather than .grib2 which should be nice.
Origin
archlinux.org
October 24, 2025 at 5:57 AM
Demonstrational IASI dust optical depth available via EUMETCast. More info and instructions: acsaf.org/products/ias...
February 5, 2025 at 7:23 AM
Demonstrational IASI dust optical depth available via EUMETCast. More info and instructions: acsaf.org/products/ias...
For those interested in alternative mechanisms to access the #ERA5 atmospheric reanalysis dataset, try the THREDDS or Globus services provided to access to our prebuilt set of #era5 netcdf4 files in rda.ucar.edu/datasets/ds6...
NCAR RDA
https://rda.ucar.edu/datasets/ds633…
April 26, 2024 at 12:52 AM
For those interested in alternative mechanisms to access the #ERA5 atmospheric reanalysis dataset, try the THREDDS or Globus services provided to access to our prebuilt set of #era5 netcdf4 files in rda.ucar.edu/datasets/ds6...
Like i made this visualizer for past climates which unpacks temperature and precipitation in each month from a netcdf4 file and shows a map of averages and the actual values for each month. There's nothing sophisticated code-wise but it would have taken me months to put it together myself.
July 10, 2025 at 9:46 PM
Like i made this visualizer for past climates which unpacks temperature and precipitation in each month from a netcdf4 file and shows a map of averages and the actual values for each month. There's nothing sophisticated code-wise but it would have taken me months to put it together myself.
New fun misuse of GitHub Discussions: on @tseslint, tooling for JavaScript and TypeScript...
How to Extract Chlorophyll-a data in Level-3 Binned AQUA-MODIS (Netcdf4) Files that are Packed by SCAN Lines of the MODIS instrument
wat ⚗️
How to Extract Chlorophyll-a data in Level-3 Binned AQUA-MODIS (Netcdf4) Files that are Packed by SCAN Lines of the MODIS instrument
wat ⚗️
October 19, 2024 at 9:08 PM
New fun misuse of GitHub Discussions: on @tseslint, tooling for JavaScript and TypeScript...
How to Extract Chlorophyll-a data in Level-3 Binned AQUA-MODIS (Netcdf4) Files that are Packed by SCAN Lines of the MODIS instrument
wat ⚗️
How to Extract Chlorophyll-a data in Level-3 Binned AQUA-MODIS (Netcdf4) Files that are Packed by SCAN Lines of the MODIS instrument
wat ⚗️
Directional #Lambertian-Equivalent #Reflectivity (DLER) version 4.1 is finally released. It has been available as demonstrational product a while, but now we can announce the official release. Added wl, improved errors, directionality and quality. Download and have a try! acsaf.org/datarecords/...
March 14, 2025 at 1:48 PM
Directional #Lambertian-Equivalent #Reflectivity (DLER) version 4.1 is finally released. It has been available as demonstrational product a while, but now we can announce the official release. Added wl, improved errors, directionality and quality. Download and have a try! acsaf.org/datarecords/...