Python Matplotlib: change dashboard width dashboard

Question

I am trying to edit the line width that appears in my color bar separately from the contour line lines that I draw in Matplotlib. I would like to set the width of the outline lines to 0.5, but when I do this, I don't see the color outlines in the color bar. If I set the outline line width to 1.5, I can see them in the color bar, but the outlines are too thick for me.

import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
import numpy as np

#get data
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-3.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = 10.0 * (Z2 - Z1)
#get contour levels
levels=[-1.5,-1.25,-1,-0.75,-0.5,-0.25,0,0.25,0.5,0.75,1,1.25,1.5]
fig = plt.figure()
ax = fig.add_subplot(111)
#plot contours and color bar
CS = plt.contour(X,Y,Z,levels, linestyles='solid', linewidths=0.5, extent=(-3,3,-3,3))  
plt.clabel(CS, colors='black', inline=True, inline_spacing=0, fontsize=8)
CB = plt.colorbar(CS, aspect=35, shrink=0.5, pad=0.09, orientation='horizontal', extend='both')
CB.set_ticks(levels)
CB.set_label('(values)',size=8)
CB.ax.tick_params(labelsize=6) 
#set plot limits
plt.xlim([-3,3])
plt.ylim([-3,3])
#set aspect ratios to be equal
plt.axes().set_aspect('equal')
#set ticks of plot
ax.xaxis.set_major_locator(plt.MultipleLocator(1.0))
ax.yaxis.set_major_locator(plt.MultipleLocator(1.0))
plt.xticks(fontsize=8)
plt.yticks(fontsize=8)

plt.show()

Any ideas on how I can separately control the width of the contour lines and the width of the colorbar lines?

Answer 1

Use the line width you want for CS (e.g. 0.5). Then add this line:

CB.lines[0].set_linewidth(10)

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