Closed
Description
I made a contour plot over a global map.
Since it is a contour plot, I also plot a colorbar along with it.
Bug report
When I set map.colorbar(..., extend='both'), it does not work at all. The colorbar has no changes.
Can anyone help?
Thank you very much!
Bug summary
Code for reproduction
def plot_ann_mean_precip(lat,lon,var, unit, title, rngeup, rngedo, interval, colorbarr,font):
lat = lat
lon = lon
var = var
#-- create figure and axes instances
#dpi = 100
#fig = plt.figure(figsize=(1000/dpi, 1000/dpi), dpi=dpi)
#ax = fig.add_axes([0.1,0.1,0.8,0.9])
#-- create map
map = Basemap(projection='cyl',
llcrnrlat= -90.,urcrnrlat= 90.,\
resolution='c',
llcrnrlon=0.,urcrnrlon=357.5)
#-- draw coastlines, state and country boundaries, edge of map
map.drawcoastlines()
#map.drawstates()
#map.drawcountries()
#-- create and draw meridians and parallels grid lines
map.drawparallels(np.arange( -90., 100.,30.),labels=[1,0,0,0],fontsize=8,linewidth=0.4,color='white')
map.drawmeridians(np.arange(0.,357.5,60.),labels=[0,0,0,1],fontsize=8,linewidth=0.4,color='white')
#-- convert latitude/longitude values to plot x/y values
x, y = map(*np.meshgrid(lon,lat))
#-- contour levels
clevs = np.arange(rngedo,rngeup,interval)
cmap2 = plt.get_cmap(colorbarr)
cmap2.set_over('darkred')
cmap2.set_under('navy')
#-- draw filled contours
cnplot = map.contourf(x,y,var,clevs,cmap=cmap2)
#-- add colorbar
cbar = map.colorbar(cnplot, location='right', pad=0.05, boundaries=[clevs[0]-100] + clevs + [clevs[-1]+100], extend='both') #-- pad: distance between map and colorbar
cbar.set_label(unit,size=7) #-- add colorbar title string
cbar.ax.tick_params(axis='y',direction='in',labelsize=7)
#-- add plot title
plt.title(title,loc='left',fontdict=font)
#-- displa on screen
#plt.show()
#-- maximize and save PNG file
#plt.savefig('plot_matplotlib_contour_filled_rect.png', bbox_inches='tight', dpi=dpi)Actual outcome
# If applicable, paste the console output here
#
#
Expected outcome
Matplotlib version
- Operating system:
- Matplotlib version:
- Matplotlib backend (
print(matplotlib.get_backend())): - Python version:
- Jupyter version (if applicable):
- Other libraries: