matplotlib-basemap

问题 I have a 2D grid 50*50. For each location I have an intensity value(i.e data is like (x,y,intensity) for each of those 50*50 locations). I would like to visualize the data as a heatmap. The twist is that every second the intensity will change(for most of the locations), which means I will need to re-draw the heatmap every second. I am wondering what is the best library/approach to handle this kind of real-time varing heatmap. 回答1: This really depends on how you get your data, but: import

问题 It is unclear to me how to install Matplotlib's Basemap on Windows. Maybe the question is straightforward, I need some help. I followed this tutorial. As far as I understand, first, GEOS and PROJ4 should be installed, and lastly matplotlib-1.4.3.win-amd64-py2.7.exe should be executed. I get stuck with GEOS. I downloaded source code of geos-3.5.0, "untarred" it, then I go to a Command Prompt, change directory to geos-3.5.0 and run this: export d://test but it does not work. 回答1: Use this

问题 I am plotting data on a map using this code: import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.cm as cm from mpl_toolkits.basemap import Basemap from matplotlib.patches import Polygon from scipy.io import netcdf ncfile = netcdf.netcdf_file(myfile.nc,'r') lon = ncfile.variables['longitude'][:] lat = ncfile.variables['latitude'][:] data = ncfile.variables['mydata'][:] ncfile.close() m = Basemap(projection='nplaea', boundinglat=40, lon_0=270) m

问题 I want to use imshow (for example) to display some data inside the boundaries of a country (for the purposes of example I chose the USA) The simple example below illustrates what I want: import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import RegularPolygon data = np.arange(100).reshape(10, 10) fig = plt.figure() ax = fig.add_subplot(111) im = ax.imshow(data) poly = RegularPolygon([ 0.5, 0.5], 6, 0.4, fc='none', ec='k', transform=ax.transAxes) im.set_clip_path(poly)

问题 I am currently employing this code to have pop up annotatations on a map when i click on a point in a Basemap Matplotlib Plot. dcc = DataCursor(self.figure.gca()) self.figure.canvas.mpl_connect('pick_event',dcc) plot_handle.set_picker(5) self.figure.canvas.draw() class DataCursor(object): import matplotlib.pyplot as plt text_template = 'x: %0.2f\ny: %0.2f' x, y = 0.0, 0.0 xoffset, yoffset = -20 , 20 text_template = 'A: %s\nB: %s\nC: %s' def __init__(self, ax): self.ax = ax self.annotation =

问题 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 between Python 3 and basemap. After some googling indeed I found that basemap is not supported on Python 3 for Windows users (ex: https://groups.google.com/a/continuum.io/forum/#!topic/anaconda/TjAwi3ilQaU). For obvious reasons I do not want to downgrade to Python 2. What would then be the simplest alternative solution? Is there an

问题 Any ideas on how can I insert a scale bar in a map in matplotlib that shows the length scale? something like the one I have attached. Or maybe any ideas on measuring and showing distances automatically (not drawing an arrow and writing the distance manually!)? Thanks :) 回答1: There is a an already existing class for scalebars in matplotlib called AnchoredSizeBar. In the below example AnchoredSizeBar is used to add a scalebar to an image (or map over a 100x100 meter area of randomness). import

问题 How can I draw regular grid lines over a tiff image? I want to draw regular square grids for each interval (say 100 by 100 pixels) over the image and save that with the drawings. I also need to overlay each grid id as '1','2',...at the middle of each grid box. 回答1: You will need the python imaging library (PIL) installed. (See here https://pypi.python.org/pypi/PIL). See these answers for examples of ways to install PIL: answer 1, answer 2 Right, with that installed, the following code should

问题 I am attempting to plot a dataset over the 'hammer' basemap using a scatter plot. However, the data points won't plot on top of the continents. I noticed in the matplotlib example, there is also not data on the continents (I assumed this was due to the nature of the example). I'm wondering if I'm doing something wrong, or if data cannot be plotted on top of the continents using 'hammer' by design. If this is the case, is there an ideal basemap to use to plot scatter plot data over the whole

问题 Edit : Since this seems to be a popular post, here's the solution that seems to be working well for me. Thanks @gazzar and @mfra. cbar.solids.set_rasterized(True) cbar.solids.set_edgecolor("face") Does anyone know why my colorbar has what appear to be lines in it? Or rather why is the color transition not smooth? I'm using basemap, obviously, but that shouldn't matter since it's all matplotlib calls under the hood AFAICT. I create the map doing something like grays = plt.cm.get_cmap("Grays")