This repository has been archived by the owner on Oct 7, 2024. It is now read-only.
forked from pydata/xarray
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Switch examples to notebooks + scipy19 docs improvements (pydata#3557)
* Switch doc examples to use nbsphinx (pydata#3105) * switching out examples to use nbsphinx * added jupyter_client to doc env * added ipykernel to doc env * Replace sphinx_gallery with notebook (pydata#3106) * switching out examples to use nbsphinx * added jupyter_client to doc env * moved gallery to notebook * Allow other tutorial filename extensions (pydata#3121) * switching out examples to use nbsphinx * added jupyter_client to doc env * allow non netcdf tutorial files * Added ROMS ocean model example notebook (pydata#3116) * change name of test env to xarray-tests (pydata#3110) * ROMS_ocean_model example added * Allow other tutorial filename extensions (pydata#3121) * switching out examples to use nbsphinx * added jupyter_client to doc env * allow non netcdf tutorial files * Changed load to xr.tutorial.open_dataset(), and added some extra documentation. * change name of test env to xarray-tests (pydata#3110) * ROMS_ocean_model example added * Changed load to xr.tutorial.open_dataset(), and added some extra documentation. * fixed colormap issues leftover from cmocean import * Added intro paragraph to ROMS example notebook, removed comments, and added citation in whats-new. * Add an example of ERA5 and GRIB data & visualization to the gallery (pydata#3199) * Adds an example of ERA5 and GRIB data to the gallery * Add markdown narrative cells to GRIB example * Update load method to use xr.tutorial * Fix load method * require nbsphinx for the documentation builds * add more nbsphinx dependencies * install cfgrib using pip * add the eccodes library to the dependencies * remove the dependency on sphinx-gallery * add the ERA5 GRIB example to the list * update the documentation links Missing: section links in visualization_gallery.ipynb don't work yet, also the one in io.rst (it has a unicode char). * Fix leap year condition in monthly means example (pydata#3464) * Typo correction in docs (pydata#3387) * Update terminology.rst (pydata#3455) Fixed broken link * Error in leap year? I've tried this script; however, it adds +1 to all months of the leap years. It sounds like an error, or I am wrong? So I wrote the condition "and month == 2" line 86 so that only the month of February gets +1. * Fix leap year (pydata#3464) * Update doc/whats-new.rst Co-Authored-By: Deepak Cherian <[email protected]> * fix the reference to the rasterio geocoordinates docs * update whats-new.rst
- Loading branch information
Showing
17 changed files
with
1,257 additions
and
1,187 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,121 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# GRIB Data Example " | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "GRIB format is commonly used to disemminate atmospheric model data. With Xarray and the cfgrib engine, GRIB data can easily be analyzed and visualized." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import xarray as xr\n", | ||
| "import matplotlib.pyplot as plt" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "To read GRIB data, you can use `xarray.load_dataset`. The only extra code you need is to specify the engine as `cfgrib`." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "ds = xr.tutorial.load_dataset('era5-2mt-2019-03-uk.grib', engine='cfgrib')" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Let's create a simple plot of 2-m air temperature in degrees Celsius:" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "ds = ds - 273.15\n", | ||
| "ds.t2m[0].plot(cmap=plt.cm.coolwarm)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "With CartoPy, we can create a more detailed plot, using built-in shapefiles to help provide geographic context:" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import cartopy.crs as ccrs\n", | ||
| "import cartopy\n", | ||
| "fig = plt.figure(figsize=(10,10))\n", | ||
| "ax = plt.axes(projection=ccrs.Robinson())\n", | ||
| "ax.coastlines(resolution='10m')\n", | ||
| "plot = ds.t2m[0].plot(cmap=plt.cm.coolwarm, transform=ccrs.PlateCarree(), cbar_kwargs={'shrink':0.6})\n", | ||
| "plt.title('ERA5 - 2m temperature British Isles March 2019')" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Finally, we can also pull out a time series for a given location easily:" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "ds.t2m.sel(longitude=0,latitude=51.5).plot()\n", | ||
| "plt.title('ERA5 - London 2m temperature March 2019')" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.7.3" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 4 | ||
| } |
Oops, something went wrong.