How to stop the "colorbar" from changing the "networkx" graph? (Python 3)

Question

I am trying to change colorbaron my schedule networkx. The bar gets very wide and also smooths out my original plot networkx(left) when I add colorbarthere (right).

How can I make my colorbarthinner and not change the original networkxschedule?

My code below is colorbarcourtesy of https://stackoverflow.com/users/5285918/lanery , but is used with a larger network.

# Set up Graph
DF_adj = pd.DataFrame(np.array(
     [[1, 0, 1, 1],
     [0, 1, 1, 0],
     [1, 1, 1, 1],
     [1, 0, 1, 1] ]), columns=['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)'], index=['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)'])

G = nx.Graph(DF_adj.as_matrix())
G = nx.relabel_nodes(G, dict(zip(range(4), ['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)'])))

# Color mapping
color_palette = sns.cubehelix_palette(3)
cmap = {k:color_palette[v-1] for k,v in zip(['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)'],[2, 1, 3, 2])}

# Draw
fig, ax = plt.subplots()
nx.draw(G, node_color=[cmap[node] for node in G.nodes()], with_labels=True, ax=ax)

sm = plt.cm.ScalarMappable(cmap=ListedColormap(color_palette),
                           norm=plt.Normalize(vmin=0, vmax=3))
sm._A = []
fig.colorbar(sm, ticks=range(1,4))

Answer 1

- [left, bottom, width, height].

cbaxes = fig.add_axes([0.9, 0.1, 0.015, 0.8])
sm = plt.cm.ScalarMappable(cmap=ListedColormap(color_palette),
                           norm=plt.Normalize(vmin=0, vmax=3))
sm._A = []
plt.colorbar(sm, cax=cbaxes, ticks=range(4))

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