matplotlib-basemap

I tried to use Basemap package to plot a map by PyCharm, but I got something wrong with from mpl_toolkits.basemap import Basemap` And the Traceback as followed: Traceback (most recent call last): File "/Users/yupeipei/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2963, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "<ipython-input-4-0a24a3a77efd>", line 7, in <module> from mpl_toolkits.basemap import Basemap File "/Applications/PyCharm.app/Contents/helpers/pydev/_pydev_bundle/pydev_import_hook.py", line 20, in do_import module = self._system

I have troubles to import the basemap module of mpl_toolkits in python. Here is what I get when I run the test.py script from the module directory: /usr/lib/python2.7/dist-packages/mpl_toolkits/basemap$ python test.py Traceback (most recent call last): File "test.py", line 1, in <module> from mpl_toolkits.basemap import Basemap, shiftgrid ImportError: No module named basemap I can't get it since sys.path gives a list of paths where I am sure the directory "basemap" is, in the "mpl_toolkits" directory. There is no problem to import mpl_toolkits . Here is a thing I tried, to manually add the

I am plotting data from an aircraft on a map and I would like to insert this 75px by 29px PNG image of an airplane at the coordinates of the latest data point on the plot. airplane http://i45.tinypic.com/mslr86.jpg As far as I know and have read, pyplot.imshow() is the best way to accomplish this. However, I am getting hung up on step 1, getting the image to even display. Using a normal plot instead of Basemap, it is easy enough to get the image to appear using imshow, but when using Basemap, I can't get it to show up at all. See the example code. If I can get the image to display on the map,

For the past few days I have been trying to get weather station data interpolated in a map for my country only. I do this as follows: Loading the data, I create a grid using interpolation Based on this grid I draw a contour and contourf image I then draw shapefiles for Germany, Belgium and France on top of the map in order to cover the irrelevant contour / contourf elements. I used this tutorial for that. Finally, I use an oceans shapefile (IHO Sea Areas; www.marineregions.org/downloads.php#iho) to plot as well in order to cover the North Sea. Using QGIS, I edited this oceans shapefile and

I am trying to plot contour lines of pressure level. I am using a netCDF file which contain the higher resolution data (ranges from 3 km to 27 km). Due to higher resolution data set, I get lot of pressure values which are not required to be plotted (rather I don't mind omitting certain contour line of insignificant values). I have written some plotting script based on the examples given in this link http://matplotlib.org/basemap/users/examples.html . After plotting the image looks like this From the image I have encircled the contours which are small and not required to be plotted. Also, I

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") sc = mymap.scatter(xpoints, ypoints, s=sizes, c=color_values, cmap=grays, alpha=.75, marker="o", zorder

I want to be able to draw a selection area on a matplotlib plot with a mouse event. I didn't find information on how to do it with python. In the end, I want to be able to draw a region of interest with my mouse on a map created with matplotlib basemap and retrieve the corner coordinates. Anyone has an idea, example, references? Thanks, Greg class Annotate(object): def __init__(self): self.ax = plt.gca() self.rect = Rectangle((0,0), 1, 1, facecolor='None', edgecolor='green') self.x0 = None self.y0 = None self.x1 = None self.y1 = None self.ax.add_patch(self.rect) self.ax.figure.canvas.mpl