Add xvec, dask-geopandas, contextily

ml-notebook/conda-linux-64.lock

@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 777145f4743c4dd46f0ce7f4fcaa2df0034f579ddd99822c679728ca10c3016b
+# input_hash: 1c6adbd922b24609edda2c13bbd03cad50533299cb02273f8ebe85fa5b45967e
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
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@@ -203,7 +203,7 @@ https://conda.anaconda.org/conda-forge/noarch/absl-py-2.1.0-pyhd8ed1ab_0.conda#0
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-https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2024.6.17.0.31.35-pyhd8ed1ab_0.conda#f535beec9185f435fd331ad9f7c47099
+https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2024.6.24.0.31.11-pyhd8ed1ab_0.conda#91b7f8f19582b40323be663d159ba93f
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@@ -670,6 +670,7 @@ https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.23.0-py312h1d6d2e6_1.c
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 https://conda.anaconda.org/conda-forge/noarch/cmocean-4.0.3-pyhd8ed1ab_0.conda#53df00540de0348ed1b2a62684dd912b
+https://conda.anaconda.org/conda-forge/noarch/dask-geopandas-0.3.1-pyhd8ed1ab_1.conda#681faac0aa117819bcddf654eee56b07
 https://conda.anaconda.org/conda-forge/noarch/datashader-0.16.2-pyhd8ed1ab_0.conda#1cbbdf509b7a2172f59455701a4e12ab
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@@ -701,6 +702,7 @@ https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.13.2-pyhd8ed1ab_2.c
 https://conda.anaconda.org/conda-forge/linux-64/tensorflow-base-2.16.1-cuda120py312h3a81633_0.conda#7f4120ba6cd11d1f90654636c9c733c0
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+https://conda.anaconda.org/conda-forge/noarch/xvec-0.2.0-pyhd8ed1ab_0.conda#e9aad3bb57a0d009c7d2781a539924e5
 https://conda.anaconda.org/conda-forge/noarch/adlfs-2024.4.1-pyhd8ed1ab_0.conda#7819363253d016ca65ea5b78887afe94
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 https://conda.anaconda.org/conda-forge/noarch/chex-0.1.86-pyhd8ed1ab_0.conda#a07f390c9f7e17295521faf5385e136f
@@ -733,6 +735,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-16.1.0-hac33072
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 https://conda.anaconda.org/conda-forge/linux-64/tensorflow-2.16.1-cuda120py312hee4d333_0.conda#903420870de39420f55274ca4638b16b
+https://conda.anaconda.org/conda-forge/noarch/contextily-1.6.0-pyhd8ed1ab_0.conda#a3e5ccece003758e379be05cb5a08dff
 https://conda.anaconda.org/conda-forge/linux-64/fiona-1.9.6-py312h32ad294_3.conda#6da62c5c06a6416e0130220e4f418bb0
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ml-notebook/conda-lock.yml

@@ -13,7 +13,7 @@
 version: 1
 metadata:
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+    linux-64: 1c6adbd922b24609edda2c13bbd03cad50533299cb02273f8ebe85fa5b45967e
   channels:
   - url: conda-forge
     used_env_vars: []
@@ -374,15 +374,15 @@ package:
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   optional: false
 - name: astropy-iers-data
-  version: 0.2024.6.17.0.31.35
+  version: 0.2024.6.24.0.31.11
   manager: conda
   platform: linux-64
   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2024.6.17.0.31.35-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2024.6.24.0.31.11-pyhd8ed1ab_0.conda
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   category: main
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@@ -1650,6 +1650,26 @@ package:
     sha256: ee523a09a70c4ef71418b12ea3086169b69969dbfa382791dbde5e1a00e41728
   category: main
   optional: false
+- name: contextily
+  version: 1.6.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    geopy: ''
+    joblib: ''
+    matplotlib-base: ''
+    mercantile: ''
+    pillow: ''
+    python: '>=3.8'
+    rasterio: ''
+    requests: ''
+    xyzservices: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/contextily-1.6.0-pyhd8ed1ab_0.conda
+  hash:
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+    sha256: 3e70e8cdffc1b6134076f720e864caa29250160a2c4f726dbf557210554fbf46
+  category: main
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@@ -2133,6 +2153,21 @@ package:
     sha256: 7d3c1916890afd26c36338a5244007115bec1b1f90c361af6ff9f2f558b6bfa6
   category: main
   optional: false
+- name: dask-geopandas
+  version: 0.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    dask-core: '>=2021.06.0'
+    geopandas-base: '>=0.10'
+    packaging: ''
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-geopandas-0.3.1-pyhd8ed1ab_1.conda
+  hash:
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+    sha256: 6a0789e1c616b70750d303fcb0f10a8c9a4e33b0923c497b3b85a6b57fe9d4b4
+  category: main
+  optional: false
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@@ -11978,6 +12013,21 @@ package:
     sha256: 2114ce212ff8510ba83a287763dc61547ea33add598e8973f85ba37bfe2e8c9d
   category: main
   optional: false
+- name: xvec
+  version: 0.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    pyproj: '>=3.0.0'
+    python: '>=3.9'
+    shapely: '>=2.0b1'
+    xarray: '>=2022.12.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/xvec-0.2.0-pyhd8ed1ab_0.conda
+  hash:
+    md5: e9aad3bb57a0d009c7d2781a539924e5
+    sha256: edad5cf6c4524c7243d42c7f30735a10229ad593c9f6b3839cd011b57c5008d0
+  category: main
+  optional: false
 - name: xxhash
   version: 0.8.2
   manager: conda

ml-notebook/packages.txt

@@ -24,7 +24,7 @@ argopy==0.1.14
 arrow==1.3.0
 asciitree==0.3.3
 astropy==6.1.1
-astropy-iers-data==0.2024.6.17.0.31.35
+astropy-iers-data==0.2024.6.24.0.31.11
 asttokens==2.4.1
 astunparse==1.6.3
 async-lru==2.0.4
@@ -111,6 +111,7 @@ colorcet==3.1.0
 colorspacious==1.1.2
 comm==0.2.2
 configobj==5.0.8
+contextily==1.6.0
 contourpy==1.2.1
 cryptography==42.0.8
 cuda-cccl_linux-64==12.5.39
@@ -143,6 +144,7 @@ dask==2024.6.2
 dask-core==2024.6.2
 dask-expr==1.1.6
 dask-gateway==2024.1.0
+dask-geopandas==0.3.1
 dask-glm==0.3.2
 dask-labextension==7.0.0
 dask-ml==2024.4.4
@@ -783,6 +785,7 @@ xorg-xproto==7.0.31
 xpublish==0.3.3
 xrft==1.0.1
 xskillscore==0.0.26
+xvec==0.2.0
 xxhash==0.8.2
 xyzservices==2024.6.0
 xz==5.2.6

pangeo-notebook/conda-linux-64.lock

@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: a86d9f5a7082ddd1e4b0d54c0976602ca4abccbef7afca63f38a40f2bc821a2a
+# input_hash: 21e935a24d253dabf1e8c17b1857670706e6cffddfa942d59ba2183fb3cde891
 @EXPLICIT
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 https://conda.anaconda.org/conda-forge/noarch/cmocean-4.0.3-pyhd8ed1ab_0.conda#53df00540de0348ed1b2a62684dd912b
+https://conda.anaconda.org/conda-forge/noarch/dask-geopandas-0.3.1-pyhd8ed1ab_1.conda#681faac0aa117819bcddf654eee56b07
 https://conda.anaconda.org/conda-forge/noarch/datashader-0.16.2-pyhd8ed1ab_0.conda#1cbbdf509b7a2172f59455701a4e12ab
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@@ -638,6 +639,7 @@ https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.24.0-py312h266a73
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+https://conda.anaconda.org/conda-forge/noarch/xvec-0.2.0-pyhd8ed1ab_0.conda#e9aad3bb57a0d009c7d2781a539924e5
 https://conda.anaconda.org/conda-forge/noarch/adlfs-2024.4.1-pyhd8ed1ab_0.conda#7819363253d016ca65ea5b78887afe94
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@@ -665,6 +667,7 @@ https://conda.anaconda.org/conda-forge/noarch/hvplot-0.10.0-pyhd8ed1ab_0.conda#6
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+https://conda.anaconda.org/conda-forge/noarch/contextily-1.6.0-pyhd8ed1ab_0.conda#a3e5ccece003758e379be05cb5a08dff
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pangeo-notebook/conda-lock.yml

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@@ -350,15 +350,15 @@ package:
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-  url: https://conda.anaconda.org/conda-forge/noarch/astropy-iers-data-0.2024.6.17.0.31.35-pyhd8ed1ab_0.conda
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@@ -1595,6 +1595,26 @@ package:
     sha256: ee523a09a70c4ef71418b12ea3086169b69969dbfa382791dbde5e1a00e41728
   category: main
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+- name: contextily
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+    python: '>=3.8'
+    rasterio: ''
+    requests: ''
+    xyzservices: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/contextily-1.6.0-pyhd8ed1ab_0.conda
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@@ -1756,6 +1776,21 @@ package:
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   category: main
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+- name: dask-geopandas
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+  platform: linux-64
+  dependencies:
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+    geopandas-base: '>=0.10'
+    packaging: ''
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/dask-geopandas-0.3.1-pyhd8ed1ab_1.conda
+  hash:
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@@ -10782,6 +10817,21 @@ package:
     sha256: 2114ce212ff8510ba83a287763dc61547ea33add598e8973f85ba37bfe2e8c9d
   category: main
   optional: false
+- name: xvec
+  version: 0.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    pyproj: '>=3.0.0'
+    python: '>=3.9'
+    shapely: '>=2.0b1'
+    xarray: '>=2022.12.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/xvec-0.2.0-pyhd8ed1ab_0.conda
+  hash:
+    md5: e9aad3bb57a0d009c7d2781a539924e5
+    sha256: edad5cf6c4524c7243d42c7f30735a10229ad593c9f6b3839cd011b57c5008d0
+  category: main
+  optional: false
 - name: xxhash
   version: 0.8.2
   manager: conda

pangeo-notebook/environment.yml

@@ -15,6 +15,8 @@ dependencies:
  - cf_xarray
  - ciso
  - cmocean
+ - contextily
+ - dask-geopandas
  - dask-ml
  - datashader
  - descartes
@@ -125,4 +127,5 @@ dependencies:
  - xrft
  - xskillscore
  - xxhash
+ - xvec
  - zarr

pangeo-notebook/packages.txt

@@ -22,7 +22,7 @@ argopy==0.1.14
 arrow==1.3.0
 asciitree==0.3.3
 astropy==6.1.1
-astropy-iers-data==0.2024.6.17.0.31.35
+astropy-iers-data==0.2024.6.24.0.31.11
 asttokens==2.4.1
 async-lru==2.0.4
 async_generator==1.10
@@ -107,6 +107,7 @@ colorcet==3.1.0
 colorspacious==1.1.2
 comm==0.2.2
 configobj==5.0.8
+contextily==1.6.0
 contourpy==1.2.1
 cryptography==42.0.8
 cuda-version==11.8
@@ -117,6 +118,7 @@ dask==2024.6.2
 dask-core==2024.6.2
 dask-expr==1.1.6
 dask-gateway==2024.1.0
+dask-geopandas==0.3.1
 dask-glm==0.3.2
 dask-labextension==7.0.0
 dask-ml==2024.4.4
@@ -710,6 +712,7 @@ xorg-xproto==7.0.31
 xpublish==0.3.3
 xrft==1.0.1
 xskillscore==0.0.26
+xvec==0.2.0
 xxhash==0.8.2
 xyzservices==2024.6.0
 xz==5.2.6