Friends,
I have created a figure (with two rows and two columns) and i drew four
contourf plots (A,B,C,D etc). All the four contourf has the same coloring
and bounds. I do not want to draw a colorbar() for each of the plots
separately but only one colorbar at the bottom of the four plots.Something
like the following scheme.
plot1 plot2
plot3 plot4
colorbar
I tried using mpl.colorbar.ColorbarBase as given in
http://matplotlib.sourceforge.net/examples/api/colorbar_only.html example to
draw the colorbar. However i find the colorbar that is created is
overlapping over the plots. Kindly let me know what is the correct way of
adjuting its location and size or any other way to create this colorbar.
My code is attached with this mail.
Thanks,
Bala
#!/usr/bin/env python
import matplotlib.pyplot as plt
import numpy as np
import matplotlib as mpl
# Creating input file list
flist=open('lstcor').read().split()
# Assignments
FIG=plt.figure(dpi=300)
FIG.subplots_adjust(hspace=0.20,wspace=0.15)
NROW=2;NCOL=2 # two rows, two columns
TXT=['A','B','C','D']
mpl.rcParams['font.size']=10
mpl.rcParams['lines.linewidth']=0.8
mpl.rcParams['axes.linewidth']=1.5
mpl.rcParams['legend.handletextpad']=0.01
mpl.rcParams['legend.fontsize']=10
mpl.rcParams['legend.labelspacing']=0.005
lev=[-1,-0.75,-.50,-0.25,0,0.25,0.5,0.75,1]
col=['#0000ff','#696969','#a9a9a9','#d3d3d3','#ffffff','#2e8b57','#ffff00','#ff0000']
# Loading all the matrices
M1=np.loadtxt(flist[0])
M2=np.loadtxt(flist[1])
M3=np.loadtxt(flist[2])
M4=np.loadtxt(flist[3])
# Block 1
ax1=FIG.add_subplot(NROW,NCOL,1)
CNF1=ax1.contourf(M1,levels=lev,colors=col,origin='lower')
# Block 2
ax2=FIG.add_subplot(NROW,NCOL,2)
CNF2=ax2.contourf(M2,levels=lev,colors=col,origin='lower')
# Block 3
ax3=FIG.add_subplot(NROW,NCOL,3)
CNF3=ax3.contourf(M3,levels=lev,colors=col,origin='lower')
# Block 4
ax4=FIG.add_subplot(NROW,NCOL,4)
CNF4=ax4.contourf(M4,levels=lev,colors=col,origin='lower')
for index,name in enumerate(FIG.axes):
name.set_xlim(auto=True)
name.set_ylim(auto=True)
name.set_xticks(range(0,342,50))
name.set_yticks(range(0,342,50))
name.axvspan(149,183,facecolor='#a9a9a9',alpha=0.2)
name.axhspan(149,183,facecolor='#a9a9a9',alpha=0.2)
name.text(5,350,TXT[index],fontsize=12)
cmap=mpl.colors.ListedColormap(col)
norm = mpl.colors.BoundaryNorm(lev,cmap.N)
ax5=FIG.add_axes(([0.05, 0.65, 0.9, 0.15])
mpl.colorbar.ColorbarBase(ax5,cmap=cmap,norm=norm,spacing='proportional',ticks=[-1,-0.75,0.25,0.5,0.75,1.0])
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