I use Python 3.5 with latest version of Anaconda on Windows (64 bit). I wanted to install Basemap using conda install basemap
. Apparently there is a conflict be
I have solved this several times (last time just now) by downloading it from http://www.lfd.uci.edu/~gohlke/pythonlibs and follow the instructions to install. From the anaconda command prompt
pip install full_path_to_package
For example, if you downloaded basemap-1.1.0-cp36-cp36m-win_amd64.whl, you would run
pip install C:\path\to\file\basemap-1.1.0-cp36-cp36m-win_amd64.whl
Note that the python version of the .whl file must match your python version. For example, ...-cp36-....
indicates Python 3.6. You can find your python version by running the command python --version
.
The below information is for Mac OS:
conda install -c conda-forge basemap-1.2.0-py37h9622e30_3.tar.bz2
Cartopy is an alternative to Basemap, and it is being actively developed.
There is a nice gallery here: http://scitools.org.uk/cartopy/docs/latest/gallery.html
I was running in the same problem (Python 3.5 and Anaconda) and eventually downloaded Basemap 1.0.8dev0 from here and installed it using conda (as described by the link).
Referring to the answer of Solly, I have Windows 10, python 3.5.3, Anaconda 64bit, in the Anaconda prompt I entered:
conda install -c conda-forge basemap=1.0.8.dev0
conda install -c conda-forge basemap-data-hires
then the code, taken from Python for Data Science for Dummies, page 193 (Plotting geographical data worked just fine. I wanted to add just a comment to the Solly's answer, but I don't have enough credits to do so. The code is:
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
austin = (-97.75, 30.25)
hawaii = (-157.8, 21.3)
washington = (-77.01, 38.90)
chicago = (-87.68, 41.83)
losangeles = (-118.25, 34.05)
m = Basemap(projection = 'merc', llcrnrlat=10, urcrnrlat=50,
llcrnrlon=-160, urcrnrlon=-60)
m.drawcoastlines()
m.fillcontinents (color='lightgray', lake_color='lightblue')
m.drawparallels(np.arange(-90.,91.,30.))
m.drawmeridians(np.arange(-180.,181.,60.))
m.drawmapboundary(fill_color='aqua')
m.drawcounties()
x, y = m(*zip(*[hawaii, austin, washington, chicago, losangeles]))
m.plot(x,y, marker ='o', markersize=6, markerfacecolor='red', linewidth=0)
plt.title('Mercator Projection')
plt.show()
Truth be told I had the same problem and tried to fix it for waaay to long and even tried a python 2 environment with no luck.
Personally just using a python 2 install was way easier and less time consuming. Sorry for the non answer.