matplotlib-basemap

in plotting the data some times there are a few very large (or very small) numbers which, if not taken care of, will affect the contour in a bad way. a solution is to take out the 10% highest and lowest data out of the contour color grading and considering them as less than and more than. the following figure shows the idea: the two arrow shapes on the top and the bottom of the bar support this idea. any value above 14 will be shown in white and any value below -2 will be shown in black color. how is it possible in matplotlib? How can I define: - to put the 5% of highest values and 5% of

For my assignment I'm supposed to plot the tracks of 20 hurricanes on a map using matplotlib. However when I run my code I get the error: AssertionError:Grouper and axis must be the same length Here's the code I have: import numpy as np from mpl_toolkits.basemap import Basemap import matplotlib.pyplot as plt from PIL import * fig = plt.figure(figsize=(12,12)) ax = fig.add_axes([0.1,0.1,0.8,0.8]) m = Basemap(llcrnrlon=-100.,llcrnrlat=0.,urcrnrlon=-20.,urcrnrlat=57., projection='lcc',lat_1=20.,lat_2=40.,lon_0=-60., resolution ='l',area_thresh=1000.) m.bluemarble() m.drawcoastlines(linewidth=0.5)

I want to plot the map of Mexico and shade the states accordingly to a the values of a dictionary. I used the following code suggested in previous question ( Easiest way to plot data on country map with python ), so far it plots the country and states, but when I try to define the shading I get an error. Below the code: import numpy as np import matplotlib.pyplot as plt from matplotlib.collections import PatchCollection from mpl_toolkits.basemap import Basemap %matplotlib inline from shapely.geometry import Polygon mexican_states_people = {'AGS': 20,'BC': 57, 'BCS': 562, 'CAMP': 594,'CHIH':

I have figured out a method to cluster disperse point data into structured 2-d array(like rasterize function ). And I hope there are some better ways to achieve that target. My work 1. Intro 1000 point data has there dimensions of properties (lon, lat, emission) whicn represent one factory located at (x,y) emit certain amount of CO2 into atmosphere grid network : predefine the 2-d array in the shape of 20x20 http://i4.tietuku.com/02fbaf32d2f09fff.png The code reproduced here: #### define the map area xc1,xc2,yc1,yc2 = 113.49805889531724,115.5030664238035,37.39995194888143,38.789235929357105

As the title suggests, I'm trying to plot a Basemap map on the z=0 surface of a matplotlib.mplot3d lineplot. I know the Axes3D object is capable of plotting on the z=0 surface (via Axes3D.plot, Axes3D.scatter, etc.), but I can't figure out how to do so with a Basemap object. Hopefully the code below shows what I need clearly enough. Any ideas would be much appreciated! import matplotlib.pyplot as pp from mpl_toolkits.mplot3d import Axes3D from mpl_toolkits.basemap import Basemap # make sample data for 3D lineplot z = np.linspace(-2, 2, 100) r = z**2 + 1 x = r * np.sin(theta) y = r * np.cos