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python toolbox for visualizing geographical data and making maps

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This package already supports python3. Removing the use_2to3 reference will allow this package to be installed via pip after the use_2to3 feature was removed in setuptools 58 https://setuptools.readthedocs.io/en/latest/history.html#v58-0-0

Hi, I try to run this simple code: > import geoplotlib > from geoplotlib.utils import read_csv > data = read_csv('bus.csv') > geoplotlib.dot(data) > geoplotlib.show() but, I got this error: Traceback...

# Issue Type [x] Bug (Typo) # Steps to Replicate and Expected Behaviour - Examine geoplotlib/__init__.py, geoplotlib/layers.py and observe `segamentation`, however expect to see `segmentation`. - Examine geoplotlib/__init__.py, geoplotlib/layers.py and...

I am using geoplot to visualize air pressure at 10 m level. Air pressure values are always between 870 and 1084 hPa I am happy to feed the data as...

Hi Andrea :) I ran into the issue described in #17 and I managed to solve it. From the specs of pyglet's [ImageData](https://pythonhosted.org/pyglet/api/pyglet.image.ImageData-class.html), I noticed that both `anchor_x` and `anchor_y`...

Hello Andrea! I try using geoplotlib but getting an error: module 'geoplotlib' has no attribute 'utils'. import geoplotlib thedata = geoplotlib.utils.read_csv('bus.csv') geoplotlib.dot (thedata) geoplotlib.show () Geoplotlib was istalled by 'pip...

Error message: Traceback (most recent call last): File "C:\Miniconda3\lib\site-packages\geoplotlib__init__.py",2, in _runapp app.start() File "C:\Miniconda3\lib\site-packages\geoplotlib\core.py", linin start l.invalidate(self.proj) File "C:\Miniconda3\lib\site-packages\geoplotlib\layers.py", l, in invalidate self.painter.sprites(self.marker, x, y, self.scale) File "C:\Miniconda3\lib\site-packages\geoplotlib\core.py", linin sprites...

Using the ColorMap in the current version leads to an error: Example: ```python # converting the obesity into a color cmap = ColorMap('Reds', alpha=255, levels=40) def get_color(properties): return cmap.to_color(properties['Obesity'], maxvalue=40,scale='lin')...