TypeError: 'float' object is not iterable with the evaluation of the clustering quality

I have an array that looks:

matrix =np.array([[0, 0.0784, 0.032768, 0.097216, 0.131008, 0.025792],
       [0.0784  , 0, 0.142144, 0.16768 , 0.223104, 0.174848],
       [0.032768, 0.142144, 0, 0.069312, 0.126656, 0.053056],
       [0.097216, 0.16768 , 0.069312, 0, 0.212224, 0.095232],
       [0.131008, 0.223104, 0.126656, 0.212224, 0, 0.173312],
       [0.025792, 0.174848, 0.053056, 0.095232, 0.173312, 0]])

I use Markov Clustering to cluster this matrix

    import markov_clustering as mc
    import networkx as nx
    import random
    import pandas as pd
    import numpy as np
    
    # number of nodes to use
    numnodes = 6
    
    # generate random positions as a dictionary where the key is the node id and the value
    # is a tuple containing 2D coordinates
    positions = {i:(random.random() * 2 - 1, random.random() * 2 - 1) for i in range(numnodes)}
    
# use networkx to generate the graph
network = nx.random_geometric_graph(numnodes, 0.3, pos=positions)


result = mc.run_mcl(matrix)           # run MCL with default parameters

clusters = mc.get_clusters(result)    # get clusters

output:
[(0,), (1,), (2,), (3, 4), (5,)]

I determine the modularity for a range of cluster inflation values, allowing us to pick the best cluster inflation value for the given graph by using:

for inflation in [i / 10 for i in range(15, 26)]:
    result = mc.run_mcl(matrix, inflation=inflation)
    clusters = mc.get_clusters(result)
    Q = mc.modularity(matrix=result, clusters=clusters)
    print("inflation:", inflation, "modularity:", Q)

but I got an error says: ‘float’ object is not iterable. How can I fix it?