matplotlib-basemap

I have python-matplotlib and python-mpltoolkits.basemap installed from Ubuntu packages. Installing python-mpltoolkits.basemap also installs python-dap as a dependency. When I import basemap, I get this warning: >>> import mpl_toolkits.basemap /usr/lib/pymodules/python2.7/mpl_toolkits/__init__.py:2: UserWarning: Module dap was already imported from None, but /usr/lib/python2.7/dist-packages is being added to sys.path __import__('pkg_resources').declare_namespace(__name__) Does this mean I have 2 conflicting installs of dap ? (That might be possible, remnants of some old manual installs.) Here

I am trying to plot points on a map using matplotlib and Basemap, where the points represent the lat/long for specific buildings. My map does indeed plot the points, but puts them in the wrong location. When I use the same data and do the same thing using Bokeh, instead of matplotlib and basemap, I get the correct plot. Here is the CORRECT result in Bokeh: Bokeh Version And here is the INCORRECT result in Basemap: Basemap Version I have seen discussion elsewhere on StackOverflow that suggested this might be related to the fact that plot() "shifts" the longitude somehow. I've tried the

I downloaded a map from US Census in shapefile format. It has all the required information that I need, but for som reason there's a specific map that I need it's giving me this error: Traceback (most recent call last): File "C:/Users/Leb/Desktop/Python/Kaggle/mapp.py", line 17, in <module> shp_info = m.readshapefile('gis/cb_2014_us_state_5m', 'states', drawbounds=True) File "C:\Program Files\Python 3.5\lib\site-packages\mpl_toolkits\basemap\__init__.py", line 2162, in readshapefile raise ValueError('readshapefile can only handle 2D shape types') ValueError: readshapefile can only handle 2D

String formatting can by used to specify scientific notation for matplotlib.basemap colorbar labels: cb = m.colorbar(cs, ax=ax1, format='%.4e') But then each label is scientifically notated with the base. If numbers are large enough, the colobar automatically reduces them to scientific notation, placing the base (i.e. x10^n ) at the top of the color bar, leaving only the coefficient numbers as labels. You can do this with a standard axis with the following: ax.ticklabel_format(style='sci', axis='y', scilimits=(0,0)) Is there an equivalent method for matplotlib.basemap colorbars, or perhaps a

I have created a small program which takes an NHL city and then draws the path the team travels throughout their season. The resulting graphic is messy: So I got the idea that it would be interesting if I animated the flight paths, sort of like watching an Indiana Jones movie, where the line grows from one point to another. My understanding from looking at other matplotlib samples is that the animation function takes in a function, calculates it's output, and then updates the graphic. I don't see how this would be possible with drawgreatcircle since whenever I call it I am given a completed

I'm working on building a standalone executable for a simple tool I built that uses Basemap. (Using Python 2.7, using the dev version of PyInstaller - 2.1). The .exe (single file) builds just fine, but when it runs, I get the following error: Traceback <most recent call last>: File "<string>", line 9, in <module> File "c:\python27\lib\site-packages\PyInstaller-2.1dev_-py2.7.egg\PyInstaller\loader\pyi_importers.py", line 270, in load_module exec<bytecode, module.__dict> File "C:\Documents and Settings\MYNAME\Python code\Flood\src\root\nested\build\FloodRisk\out00-PYZ.pyz\mpl_toolkits.basemap",

I have trouble with matplotlib / pyplot / basemap. I plot contour lines (air pressure) on a map. I use clabel to show the value of the contour lines. But the problem is: the padding between the value and the contour line is too much. I have found the parameter "inline_spacing", which i have set to zero. But there is still to much free space. Any ideas? Python Code: import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap import pygrib filename = "file.grib2" grbs = pygrib.open('/data/' + filename) grb = grbs[2] data = grb.values datac =