Comments (3)
create subplot for the brain plotting
fig, ax = plt.subplots(figsize=(9,12))
# And then loop through each node and add it in order
for node in node_order:
aaa = nx.draw_networkx_nodes(H, # A networkx graph
pos=pos, # A dict with nodes as keys and positions as values.
node_color=colors_list[node], # color for each node
nodelist=[node], # Draw only this one node
ax=ax)
nx.draw_networkx_edges(G2, # plotting for thresholded edges G2
pos=pos,
edgelist=edge_list_G2,
edge_color = "lightgrey",
ax=ax)
add subplot - basically adds an Axes to the figure as part of a subplot arrangement.
ax2 = fig.add_subplot(15, 1, 15, xticklabels=[], yticklabels=[])
vmin = min(nodal_measures[measure].values)
vmax = max(nodal_measures[measure].values)
norm = mpl.colors.Normalize(vmin=vmin, vmax=vmax)
# ticks = [round(vmin,2), round((vmin+vmax)/2,2), round(vmax,2)]
ticks = [vmin, (vmin+vmax)/2, vmax]
cb = mpl.colorbar.ColorbarBase(ax2, cmap="hot_r",
norm=norm,
ticks=ticks,
format='%.2f',
orientation='horizontal')
cb.set_label(measure, size=20)
ax2.tick_params(labelsize=20)
plt.tight_layout()
plt.subplots_adjust(top=1)
sns.despine(top=True, right=True, left=True, bottom=True)
fig.savefig("CCC", bbox_inches=0, dpi=100)
from scona.
Try adding a grid. Subplots are really hard to adjust and control if you go outside of what they’re designed to do (which is have multiple similar sized plots).
from scona.
Here’s some code on setting up a grid rather than a subplot:
scona/scona/scripts/make_figures.py
Line 1890 in 1e70f46
from scona.
Related Issues (20)
- calculate_nodal_measures doesn't work on graph bundles HOT 1
- Pad random graphs with 0s so they are in the right order HOT 4
- Set seed for Erdos Renyi graph in plot degree distribution HOT 4
- Include small world in plot_network_measures HOT 3
- Which version of nilearn do we need? HOT 1
- Cut covars columns from residuals matrix HOT 1
- feature request: tell brainbundle the total number of brains you want
- Catch error if name of graph doesn't exist in brain bundle for plot_rich_club HOT 4
- Adjust legend of plot_rich_club HOT 3
- small_world calculations HOT 1
- Nodal measures for plotting with nilearn HOT 5
- Plots of brains in plotting anatomical network HOT 2
- View Connectome with nilearn HOT 5
- Error with nilearn.plot_connectome HOT 1
- Test for visualisations HOT 1
- Removing old viz modules
- View_corr_mat() - make new || leave old HOT 5
- Make new get_anatomical_layouts() function HOT 1
- Two similar tutorials HOT 1
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from scona.