matplotlib-basemap

The code below is supposed to colour all the states of Vietnam: import pandas as pd import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap fig, ax = plt.subplots(figsize=(10,20)) # create the map map = Basemap(resolution='l', # c, l, i, h, f or None projection='merc', lat_0=15.95, lon_0=105.85, llcrnrlon=102., llcrnrlat= 8.31, urcrnrlon=109.69, urcrnrlat=23.61) # load the shapefile, use the name 'states' map.readshapefile(r'path\to\gadm36_VNM_1', name='states', drawbounds=True) # shapefile downloaded from http://www.gadm.org/ # collect the state names from the shapefile

from mpl_toolkits.basemap import Basemap gives ImportError: No module named 'mpl_toolkits.basemap' I installed basemap with conda wayne@dors:~$ conda install basemap Solving environment: done # All requested packages already installed. I am running ubuntu 15.04, Python3.4, matplotlib 2.1.1, numpy 1.8.2 How do I fix? ConfusedMan Try to install it with this command: conda install -c conda-forge basemap "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 I think you

I am rather new to programming and am having a very hard time understanding interpolation. Every single source I can find that attempts to explain it is extremely cryptic (especially the package specific sites for basemap/matplotlib). I am mapping using matplotlib's basemap however the nature of my data is that it comes in 5 degree by 5 degree blocks (lat lon blocks). I want to smooth out the map by interpolation. So first here is my code. from netCDF4 import Dataset import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap, addcyclic #load the netcdf file

I am trying to animate some density data on a basemap map. Following an approach as was done in [this SO question][1], I get the following error: /usr/local/lib/python2.7/dist-packages/matplotlib/collections.pyc in update_scalarmappable(self) 627 if self._A is None: 628 return --> 629 if self._A.ndim > 1: 630 raise ValueError('Collections can only map rank 1 arrays') 631 if not self.check_update("array"): AttributeError: 'list' object has no attribute 'ndim' If I instead set the data in init() with null values by self.quad.set_array(self.z.ravel()) , I end up with two plotted maps with no data

I am plotting the netCDF file available here: https://goo.gl/QyUI4J Using the code below, the map looks like this: However, I want the oceans to be in white color. Better still, I want to be able to specify what color the oceans show up in. How do I change the code below to do that? Right now, the issue is that the oceans are getting plotted on the data scale. (please note that the netCDF file is huge ~3.5 GB). import pdb, os, glob, netCDF4, numpy from matplotlib import pyplot as plt from mpl_toolkits.basemap import Basemap def plot_map(path_nc, var_name): """ Plot var_name variable from