How can I re-format the tick labels on my colorbar such that they are not in standard form. I would like the labels to read 0.02, 0.03, 0.04 ..., 0.2, NOT 2 x 10^-2, 3 x 10^-2 etc, whilst retaining the logarithmic scale. See image below for the current image.
#Gf
import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import interp2d
from mpl_toolkits.axes_grid1 import make_axes_locatable
from astropy.visualization import simple_norm
from matplotlib.colors import LogNorm
from matplotlib.ticker import LogFormatter
x_list = np.array([x * 3 for x in X_COORDINATE])
z_list = np.array(Z_COORDINATE)
Gf_list = np.array(Gf)
x = np.arange(5.3, 30, 1.5)
z = np.arange(0.0, 12.0, 1.5)
#X, Z = np.meshgrid(x, z)
#print (X.shape)
f = interp2d(x_list,z_list,Gf_list,kind='linear')
gf_i = f(x,z)
fig = plt.imshow(gf_i,
extent=[min(x_list),max(x_list),min(z_list),max(z_list)],
origin="lower", interpolation='bicubic', norm=LogNorm(), cmap='YlGn', vmin=0.02, vmax=0.2)
# Show the positions of the sample points, just to have some reference
fig.axes.set_autoscale_on(False)
#plt.plot(x_for_horizontal_line, y_for_horizontal_line, color='w')
#plt.plot(x_for_vertical_line, y_for_vertical_line, color='w')
plt.xlim(left=3,right=15)
plt.ylim(top=8, bottom=0)
#plt.ylim(top=,bottom=)
plt.xlabel('NF Center, x (m)')
plt.ylabel('NF Center, z (m)')
plt.title('$G_{f}$ - 0.002 Pa s')
plt.scatter(x_list,z_list,20,color='k',facecolors='none', marker='.')
#plt.scatter(x_list,z_list,400,color='k',facecolors='none')
ax = plt.gca()
ax.set_xticks([3,6,9,12,15]) # choose which x locations to have ticks
ax.set_xticklabels([1,2,3,4,5])
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.1)
plt.rcParams.update({'font.size':14})
formatter = LogFormatter(10, labelOnlyBase=False)
plt.colorbar(fig, cax=cax)
plt.savefig('Gf_final_0.002PaS.svg',bbox_inches='tight', dpi=1200)
plt.show()
