I have trouble importing the basemap module of mpl_toolkits in python.
I've got following error message when I try to run "from mpl_toolkits.basemap import Basemap":
ModuleNotFoundError: No module named 'mpl_toolkits.basemap'
I'm using python 3.6.5 in windows.
I've found relevant Q&A in
"Python basemap module impossible to import" and I already followed what's instructed there (i.e. source activate MyProfileName, conda install basemap) but it didn't work.
The clue might already be given in the Q&A above but as I'm quite new to python, I couldn't figure out the solution.
I would recommend installing Anaconda environment from scratch. Let Anaconda handle dependencies for you. Then you need to install mpl_toolkits separately in your conda environment with:
conda install -c conda-forge basemap-data-hires
See also here.
After doing this, executing
from mpl_toolkits.basemap import Basemap
from python console should work normally.
I recently faced this problem on Windows 10. I had created a conda environment with python 3.7 and anaconda 5.2.0 and tried all retrieved solutions. But nothing worked for me and all my efforts worth many hours were in vain.
What I observed that currently Basemap is not compatible with python 3.0, so I remove the environment and creates a fresh with python 2.7 and anaconda 5.2.0. So, to help others who are juggling with same problem, here is the complete set of solution:
Getting the Basemap Toolkit (support the functionality of mapping data)
create conda environment as:
conda create -n Basemap python=2.7 anaconda=5.2.0
Activate the created conda environment:
activate Basemap
Install the following packages:
conda install -c conda-forge basemap
(do not use basemap=1.1.0, channel error comes "package basemap =1.1.0 is not
available from current channels")
"Only the 'crude' and 'low' resolution datasets are installed by default". You may
need to install the following for high resolution:
conda install -c conda-forge basemap-data-hires
PROJ is a generic coordinate transformation software that transforms geospatial
coordinates from one coordinate reference system (CRS) to another. This includes
cartographic projections as well as geodetic transformations.
conda install -c conda-forge proj4 </b>
(Better to avoid pro4=5.2.0 as specific packages generates error)
PROJ is a generic coordinate transformation software that transforms geospatial
coordinates from one coordinate reference system (CRS) to another. This includes
cartographic projections as well as geodetic transformations.
After installation of the Basemap toolkit, open the jupyter notebook a fresh, it should show the current environment in upper right corner.
To check the current environment in jupyter, type:
import sys
print(sys.executable)
If still the activated environment is not shown then:
run the following command in anaconda prompt in activated environment Basemap:
python -m ipykernel install --user --name Basemap --display-name "Python (Basemap)"
Now change the environment from Kernel-> change kernel -> Python (Basemap)
Finally Python(Basemap) should be shown in upper right corner.
Following needs to be imported in your program then to use it:
from mpl_toolkits.basemap import Basemap
In case of error: "No module named 'mpl_toolkits.basemap" type the following in jupyter:
import os
os.environ['PROJ_LIB'] = r'C:\ProgramData\Anaconda3\pkgs\proj4-5.2.0-h6538335_1006\Library\share
After this you need to restart apps for them to pick up the change, including explorer.exe. Restarting the machine is reccomended (but not required).
All the best. I hope this will work for you as well.
Related
In my script, I want to use both arcpy and geopandas. So I tried to clone the environment from ArcGIS Pro (2.8.0) first and then install geopandas via anaconda. Even though the geopandas has been successfully installed, when calling the library, errors occured.
Any suggestions about setting up these two libraries are really appreciated.
In case you tried it through ArcGIS Pro's user interface, you are better off to do this in the Python Command Prompt.
Open your Python Command Prompt
Then following commands (assuming the new environment's name is arcgispro-py3-gpd):
activate arcgispro-py3
conda create --name arcgispro-py3-gpd --clone arcgispro-py3
activate arcgispro-py3-gpd
conda install geopandas
You may get some warnings about inconsistent environment. See this ArcGIS Pro Idea starting the thread with this comment.
You can also install arcpy in your own "non-ArcGIS Pro" Conda environment. (ArcGIS Pro still needs to be installed on the same computer.)
In this answer (of the question Can't install arcpy in Jupyter Notebook) I am showing how to install geopandas and jupyterlab in a "non-ArcGIS Pro" Conda environment.
I'm a little confused with package install in anaconda environment.
I can install my python packagse in the following ways.
open anaconda prompt and do : conda install tensorflow
launch an jupyter notebook from anaconda prompt, choose the default python kernel, and do:
!pip install tensorflow
Can someone tell me what is the difference between these two cases? Where are the python packages installed? What happens when I pip install python packages in default kernel in jupyter notebook?
I was able to install tensorflow in jupyter notebook in default kernel (python3), but trying to import tensorflow give me module note found error. Does anyone know why that happened? What is happening under the hood? Very much appreciate any help to clarification.
pip is the default package manager that ships with python. Conda is also a package manager, but it is third party. Conda was made especially for data science libraries. Libraries installed with conda usually give much better performance than pip. In pip, the packages are stored in python/scripts and conda stores them at /anaconda/pkgs/. As for the module not found error. I would need more information about it, but you can check out this video. I learnt how to install TensorFlow here and would highly recommend it.
I'm trying to integrate geopandas, plotly, and shply onto my workbench to make some statistical analysis and visualization easier. I have successfully integrated plotly after using the:
conda install -c plotly plotly
comand in my anaconda prompt. However, when I repeat the process for geopandas
conda install -c conda-forge geopandas
my spyder client and anaconda clients no longer open.
I have tried a few clean uninstall/re-install of the latest anaconda distribution package, but have yet to find a fix. Do I need to create separate environments to work in? How would I go about this? Thank you in advance
(Spyder maintainer here) This kind of problem is usually caused by mixing packages from different channels. In your case, you're mixing packages from the plotly, conda-forge and defaults channels. In particular, defaults (the packages provided by default in Anaconda) and conda-forge are binary incompatible because their packages are compiled differently.
To avoid this, you need to uninstall and reinstall Anaconda because you corrupted it. Then you can simply run
conda install plotly geopandas
given that these two packages are part of the defaults channel.
after following the instruction in http://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html#install-in-python, I was able to install h2o v 3.16.0.2. I was also able to use command line instructions mentioned in the above website and test that it is working.
python
import h2o
h2o.init()
h2o.demo("glm")
However, when I launch anaconda spyder, I am not able to import h2o. How do I link the h2o I have installed and bring it into Spyder python?
Update:
I have already tried {conda install -c anaconda h2o } which is mentioned on Anaconda.org, but that installs older ver 3.10 of h2o and that did not work either.
thanks for your help.
I believe the problem is due to your python environment. When you install Anaconda, you need to use anaconda pip, to ensure that the installed packages are available in conda.
The short answer is you can install the lastest stable version of H2O (3.16.0.2 as of today) using conda via h2oai channel instead of anaconda channel (h2o maintains it's own channel):
conda install -c h2oai h2o
this should solve your issue.
But more generally, the packages will appear in conda if you use anaconda pip. You can check which pip is being used by doing
which pip
and making sure that the path to the pip is within your anaconda distribution; something like /home/<userdir>/anaconda/bin/pip instead of /usr/bin/pip
Same is true also for Python. Try checking if starting Python in terminal points to anaconda Python by doing which python. If that's not the case, than you would need to add the conda installation of Python to your PATH variable. Please refer to conda docs for instructions https://conda.io/docs/user-guide/install/index.html
It would have been helpful if you had included information regarding your operating system in the question.
I installed tensorflow as described for Anaconda installation in the tensorflow.org. I could run the tensorflow in the Mac terminal just typing,
$ source activate tensorflow
$ python
import tensorflow as tf
But, when I run iPython notebook, it does not work by showing an error of no module named tensorflow. I felt like tensorflow was correctly installed but iPython notebook could not recognize it. Is there any way to fix it?
Please have a look at your path. When you do the command 'source activate tensorflow', your path may have changed. The example is following.
sherrie#sherrie-PC:~/tensorflow/tensorflow/examples/udacity$ source activate tensorflow
discarding /home/sherrie/anaconda2/bin from PATH
prepending /home/sherrie/anaconda2/envs/tensorflow/bin to PATH
Tensorflow is installed in the first path, instead of the second one.
The most important step comes. Open your directory of 'anaconda' --> find the 'envs' --> open 'tensorflow' --> copy all files in 'sitepack0ages' to 'anaconda/lib/python2.7/sitepack-ages'. Done.
My answer is based on this other answer: Trouble with TensorFlow in Jupyter Notebook. I had the exact same problem, and I solved it by doing this:
Once your environment is activated, run "which jupyter" and verify if the path returned points to the /bin folder under your environment, something like /my_environments_path/my_tensorflow_environment_name/bin/jupyter. If this is already the case, your scenario is different from the one I had;
Run "which pip" and/or "which pip3". Odds are, you are executing pip or pip3 from a different location, so Jupyter is not being installed inside your environment. In my case, Python version was 3.6, but pip3 was being called from a different location. I ran "pip install jupyter", since pip was inside the /bin folder in my environment. Once I called the correct pip, I checked again the "which jupyter" command, and this time Jupyter was under my environment and I could import Tensorflow inside my notebooks. If no pip's path points to your environment, install pip inside it by running "conda install pip".
I hope this works, along with the additional information on the link above.