Reputation: 6138
I'm writing my scientific article and I get a problem with my subplots. Unfortunately, I get a colorbar too much higher than graphs.
I read this post : Matplotlib: same height for colorbar as for plot
But I don't find a way to overwrite my script in order to resize my colorbar.
This is my script with my resize try :
fig3, (ax1, ax2, ax3) = plt.subplots(1,3)
fig = plt.gcf()
fig.set_size_inches(16, 9)
convolution_locale = convolve(RotatePlot, Gaussian2DKernel(stddev=4)) # AFFICHAGE DE LA CARTE DE DENSITE CONVOLUEE POUR 2'
fig_smoothed_heatmap_locale = ax1.imshow(convolution_locale, interpolation='nearest')
ax1.set_title("Carte de densite convoluee 2'")
ax1.set_xlabel("X (arcmin)")
ax1.set_ylabel("Y (arcmin)")
divider = make_axes_locatable(ax1)
cax1 = divider.append_axes("right", size="5%", pad=0.05)
fig3.colorbar(fig_smoothed_heatmap_locale,cax=cax1)
ax1.invert_yaxis()
convolution_grande = convolve(RotatePlot, Gaussian2DKernel(stddev=32)) # AFFICHAGE DE LA CARTE DE DENSITE CONVOLUEE POUR 8'
fig_smoothed_heatmap_grande = ax2.imshow(convolution_grande, interpolation='nearest')
ax2.set_title("Carte de densite convoluee 16'")
ax2.set_xlabel("X (arcmin)")
ax2.set_ylabel("Y (arcmin)")
divider = make_axes_locatable(ax1)
cax2 = divider.append_axes("right", size="5%", pad=0.05)
fig3.colorbar(fig_smoothed_heatmap_grande,cax=cax2)
ax2.invert_yaxis()
convolution_diff = convolution_locale - convolution_grande # AFFICHAGE DE LA CARTE DE DENSITE CONVOLUEE 2' - 8'
fig_smoothed_tab_diff = ax3.imshow(convolution_diff, interpolation='nearest')
ax3.set_title("Carte 2' - Carte 16'")
ax3.set_xlabel("X (arcmin)")
ax3.set_ylabel("Y (arcmin)")
divider = make_axes_locatable(ax1)
cax3 = divider.append_axes("right", size="5%", pad=0.05)
fig3.colorbar(fig_smoothed_tab_diff,cax=cax3)
ax3.invert_yaxis()
# Create space for labels between subplots
fig3.tight_layout()
fig3.savefig(outname3)
This is what I get :
Thank you if you have a solution ! :)
Upvotes: 1
Views: 271
Reputation: 69223
The problem is when you create your 3 divider
instances you always use ax1
.
Change the second and third dividers
to use ax2
and ax3
, e.g.:
divider = make_axes_locatable(ax2)
Here's your entire script, with the fixed lines:
fig3, (ax1, ax2, ax3) = plt.subplots(1,3)
fig = plt.gcf()
fig.set_size_inches(16, 9)
convolution_locale = convolve(RotatePlot, Gaussian2DKernel(stddev=4)) # AFFICHAGE DE LA CARTE DE DENSITE CONVOLUEE POUR 2'
fig_smoothed_heatmap_locale = ax1.imshow(convolution_locale, interpolation='nearest')
ax1.set_title("Carte de densite convoluee 2'")
ax1.set_xlabel("X (arcmin)")
ax1.set_ylabel("Y (arcmin)")
divider = make_axes_locatable(ax1)
cax1 = divider.append_axes("right", size="5%", pad=0.05)
fig3.colorbar(fig_smoothed_heatmap_locale,cax=cax1)
ax1.invert_yaxis()
convolution_grande = convolve(RotatePlot, Gaussian2DKernel(stddev=32)) # AFFICHAGE DE LA CARTE DE DENSITE CONVOLUEE POUR 8'
fig_smoothed_heatmap_grande = ax2.imshow(convolution_grande, interpolation='nearest')
ax2.set_title("Carte de densite convoluee 16'")
ax2.set_xlabel("X (arcmin)")
ax2.set_ylabel("Y (arcmin)")
divider = make_axes_locatable(ax2) ### I changed this line
cax2 = divider.append_axes("right", size="5%", pad=0.05)
fig3.colorbar(fig_smoothed_heatmap_grande,cax=cax2)
ax2.invert_yaxis()
convolution_diff = convolution_locale - convolution_grande # AFFICHAGE DE LA CARTE DE DENSITE CONVOLUEE 2' - 8'
fig_smoothed_tab_diff = ax3.imshow(convolution_diff, interpolation='nearest')
ax3.set_title("Carte 2' - Carte 16'")
ax3.set_xlabel("X (arcmin)")
ax3.set_ylabel("Y (arcmin)")
divider = make_axes_locatable(ax3) ### I changed this line too
cax3 = divider.append_axes("right", size="5%", pad=0.05)
fig3.colorbar(fig_smoothed_tab_diff,cax=cax3)
ax3.invert_yaxis()
# Create space for labels between subplots
fig3.tight_layout()
fig3.savefig(outname3)
Upvotes: 1