Python matplotlib.cm.nipy_spectral() Examples

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Example #1
Source File: cfplot.py    From cfanalytics with BSD 3-Clause "New" or "Revised" License 4 votes vote down vote up 
def _plot_city(self, ds):
        """Plot the results of gyms in a city.
        
        Parameters
        ----------
        self.ds_sorted : xr.Dataset
            xr.Dataset with Coordinates: gyms.
            
        Returns
        -------
        matplotlib.pyplot.figure : matplotlib.pyplot.figure
            Creates city plot.        
        """
        # Create extend of map [W, E, S, N]
        extent = [ds['longitude'].values.min(), ds['longitude'].values.max(),
                  ds['latitude'].values.min(), ds['latitude'].values.max()]

        # Setup colors
        colors = cm.nipy_spectral(np.linspace(0,1,len(ds['gyms'])))
        
        # Get google map. Scale is for more details. Mapytype can have
        # 'terrain' or 'satellite'
        g = GoogleVisibleMap(x=[extent[0], extent[1]], y=[extent[2],
                                extent[3]], scale=4, maptype='terrain')
        ggl_img = g.get_vardata()
        
        # Plot map
        fig, ax = plt.subplots(1, 1, figsize=(20,20))
        sm = Map(g.grid, factor=1, countries=False)
        sm.set_rgb(ggl_img)
        sm.visualize(ax=ax)
        # Plot gym points
        for i in range(0, len(ds['gyms'])):
            # Create label
            self.regcount = i
            self._rank() # Add self.rank
            _label = self.rank+' '+ds['gyms'].values[i]+': '+\
            ds['athlete_names'].values[i]+' ('+str(ds[self.how].values[i])+')'
            x, y = sm.grid.transform(ds['longitude'].values[i],
                                     ds['latitude'].values[i])
            ax.scatter(x, y, color=colors[i], s=400, label=_label)
        plt.title(self.fname+' | '+self.city+' | '+self.column+' | '+self.how)

        # Shrink current axis by 20% to make room for legend
        box = ax.get_position()
        ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])
        ax.legend(loc='center left', bbox_to_anchor=(1, 0.5))
        
        plt.savefig(self.plotdir+self.fname+'_'+self.city+'_'+self.column+'_'+\
                    self.how+'.png', bbox_inches = 'tight')
        #plt.savefig(self.plotdir+self.fname+'_'+self.city+'_'+self.column+\
        #            self.how+'.png', bbox_inches = 'tight', format='eps')
        plt.show()