So far my trick is to replace the statement
from mpl_toolkits.basemap import Basemap
with
import cartopy.crs as ccrs
JParkCodes is an expedient for me to disseminate information about computer codes used by the Yale University Seismology Group. Click titles of most blogposts to see Google Drive directory JParkCodes, where the codes and shell scripts reside in the cloud. It will take me some time to post useful code for folks in Yale and colleagues worldwide. Send email with queries, and add comments to posted programs and shell-scripts to flag bugs and suggest improvements.
So far my trick is to replace the statement
from mpl_toolkits.basemap import Basemap
with
import cartopy.crs as ccrs
The upgrading of Python within Anaconda is complicated by the planned obsolescence of Python versions in the Anaconda software. As of 02/16/2023, Anaconda has support for Python 3.7 and higher. As a result, simply upgrading
conda install python=3.9
might work if you have 3.7 or 3.8 already installed. However, I had my obspy environment set up with Python 3.6, and the version would not update automatically. This prevented me from updating obspy and many other packages. My solution is to create a new environment for the upgrade, and install Python 3.9 directly into it. From the webpage:
https://www.geophysik.uni-muenchen.de/~megies/installation2.pdf
Create a new environment within Anaconda
conda create -n obspy39 python=3.9
conda activate obspy39
conda info --envs
assuming that you are in the obspy39 environment . . .
conda install -c conda-forge obspy
conda install jupyter
conda install cartopy
Note that I installed cartopy, rather than basemap. The latter would not install properly, and it is the older version anyway. At the end of this exercise, I had two obspy environments, obspy and obspy39. One can delete the older creakier version once you are certain that the new one works.
Once Anaconda sits on your computer, the updates start to annoy you. If you ignore them long enough, however, they don't go away. Eventually, the upgrades will no longer be simple. For three of my MacOS computers, I first installed Anaconda 1.x, and for the home iMac I basically tore out my original installation in order to upgrade to Anaconda 2.x. Upgrading from 1.x to 2.x need not be that drastic. I discovered a procedure that works at a website
https://appdividend.com/2022/01/19/how-to-update-anaconda-upgrade-anaconda-navigator/
This procedure relies on entering line-commands in a terminal window, which you open within Anaconda Navigator. Just go to the base environment and open a Terminal, rather than search for a Jupyter Notebook or a Python window. In this Terminal, you might need to first update the conda app to its latest version
conda update conda
or
conda update -n base -c defaults conda
Then update Anaconda itself to a specific version, tied to a year and month, e.g.,
conda update anaconda=2022.10
or
conda install anaconda=2022.10
In one case I installed the new Anaconda first, because the condo update hung the computer.
That metapackage represents the pinned state that has undergone testing as a collection.
If you want to update all the packages under conda distribution, you can use the following command.
conda update --allThe conda update –all will upgrade everything. This updates all packages in the current environment to the latest version.