Testing Cartopy¶

Cartopy is a popular plotting library and depends on geos and proj libraries and therefore need to be linked against these. Currently it is possible to install cartopy in any version you want, using the provided module libraries:

geos/3.8.1-gcc-8.5.0 or similar using gcc
proj/8.1.0-gcc-8.5.0 or similar using gcc
proj/7.1.0-gcc-8.5.0 or similar using gcc using cartopy <0.20

However, there are still some issues with Cartopy. Please note that its version is 0.XX that means development and not a stable release.

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!module --no-pager list
!module --no-pager list

Currently Loaded Modulefiles:
 1) anaconda3/2021.05-gcc-8.5.0   3) proj/8.1.0-gcc-8.5.0  
 2) geos/3.8.1-gcc-8.5.0

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%pylab inline
%pylab inline

Populating the interactive namespace from numpy and matplotlib

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import cartopy.crs as ccrs
import cartopy.crs as ccrs

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fig = plt.figure(figsize=(10, 5))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.Robinson())

# make the map global rather than have it zoom in to
# the extents of any plotted data
ax.set_global()

ax.stock_img()
ax.coastlines()

ax.plot(-0.08, 51.53, 'o', transform=ccrs.PlateCarree())
ax.plot([-0.08, 132], [51.53, 43.17], transform=ccrs.PlateCarree())
ax.plot([-0.08, 132], [51.53, 43.17], transform=ccrs.Geodetic())
fig = plt.figure(figsize=(10, 5))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.Robinson())

# make the map global rather than have it zoom in to
# the extents of any plotted data
ax.set_global()

ax.stock_img()
ax.coastlines()

ax.plot(-0.08, 51.53, 'o', transform=ccrs.PlateCarree())
ax.plot([-0.08, 132], [51.53, 43.17], transform=ccrs.PlateCarree())
ax.plot([-0.08, 132], [51.53, 43.17], transform=ccrs.Geodetic())

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[<matplotlib.lines.Line2D at 0x153edf3bc0d0>]

No description has been provided for this image

Write the necessary modules into the kernel launcher configuration file: ~/load_modules_into_jupyter.conf

If that files is written just now. restart the kernel otherwise the pip install will fail.

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%%writefile ~/load_modules_into_jupyter.conf
geos
proj/7.1.0-gcc-8.3.1-xcjaco5
%%writefile ~/load_modules_into_jupyter.conf
geos
proj/7.1.0-gcc-8.3.1-xcjaco5

Overwriting /jetfs/home/mblaschek/load_modules_into_jupyter.conf

Execute the local --user install of cartopy into your home directory:

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# Cartopy 0.20.0 with shapely
!pip install --user cartopy==0.20.0 shapely==1.7.1
# Cartopy 0.20.2 with shapely 1.8.0 (does not work with 1.8.1 or 1.8.2)
# !pip install --user shapely==1.8.0 cartopy
# Cartopy 0.20.0 with shapely
!pip install --user cartopy==0.20.0 shapely==1.7.1
# Cartopy 0.20.2 with shapely 1.8.0 (does not work with 1.8.1 or 1.8.2)
# !pip install --user shapely==1.8.0 cartopy

Collecting cartopy
  Using cached Cartopy-0.20.0.tar.gz (10.8 MB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
    Preparing wheel metadata ... done
Collecting shapely>=1.6.4
  Downloading Shapely-1.7.1-cp38-cp38-manylinux1_x86_64.whl (1.0 MB)
     |████████████████████████████████| 1.0 MB 23.6 MB/s eta 0:00:01
Collecting pyproj>=3.0.0
  Downloading pyproj-3.2.1-cp38-cp38-manylinux2010_x86_64.whl (6.3 MB)
     |████████████████████████████████| 6.3 MB 102.1 MB/s eta 0:00:01
Requirement already satisfied: matplotlib>=3.1 in /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex/lib/python3.8/site-packages (from cartopy) (3.2.2)
Requirement already satisfied: numpy>=1.18 in /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex/lib/python3.8/site-packages (from cartopy) (1.18.5)
Collecting pyshp>=2.1
  Downloading pyshp-2.1.3.tar.gz (219 kB)
     |████████████████████████████████| 219 kB 103.9 MB/s eta 0:00:01
Requirement already satisfied: certifi in /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex/lib/python3.8/site-packages (from pyproj>=3.0.0->cartopy) (2020.6.20)
Requirement already satisfied: cycler>=0.10 in /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex/lib/python3.8/site-packages (from matplotlib>=3.1->cartopy) (0.10.0)
Requirement already satisfied: python-dateutil>=2.1 in /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex/lib/python3.8/site-packages (from matplotlib>=3.1->cartopy) (2.8.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex/lib/python3.8/site-packages (from matplotlib>=3.1->cartopy) (2.4.7)
Requirement already satisfied: kiwisolver>=1.0.1 in /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex/lib/python3.8/site-packages (from matplotlib>=3.1->cartopy) (1.2.0)
Requirement already satisfied: six in /home/swd/spack/opt/spack/linux-rhel8-skylake_avx512/gcc-8.4.1/anaconda3-2020.07-4onhdcbnvyvwfdxxbelrplxjihjsknex/lib/python3.8/site-packages (from cycler>=0.10->matplotlib>=3.1->cartopy) (1.15.0)
Building wheels for collected packages: cartopy, pyshp
  Building wheel for cartopy (PEP 517) ... done
  Created wheel for cartopy: filename=Cartopy-0.20.0-cp38-cp38-linux_x86_64.whl size=10980651 sha256=c63e7fc196492e2db81029ed2af8d2f3fb1ba3fa2129e8e4c59d6000c2a5a591
  Stored in directory: /home/spack/.cache/pip/wheels/f2/b9/4d/cf1a107ee01bae40000f27ed744a269bc251223b241fd71117
  Building wheel for pyshp (setup.py) ... done
  Created wheel for pyshp: filename=pyshp-2.1.3-py3-none-any.whl size=37262 sha256=85f688d164ea994b5d66b0fb71c3fc0c78a6a9d74fdef026991ef2fca114c18e
  Stored in directory: /home/spack/.cache/pip/wheels/1f/1b/b5/54affbefc8a7e2bdf1da000fc576b8a1c91338f1f327a04f4c
Successfully built cartopy pyshp
Installing collected packages: shapely, pyproj, pyshp, cartopy
Successfully installed cartopy-0.20.0 pyproj-3.2.1 pyshp-2.1.3 shapely-1.7.1

When the installation is completed, restart the current kernel and try to plot again.

Last update: November 9, 2022
Created: October 14, 2021