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-rw-r--r--jpa_test/make_plots.py39
1 files changed, 39 insertions, 0 deletions
diff --git a/jpa_test/make_plots.py b/jpa_test/make_plots.py
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+++ b/jpa_test/make_plots.py
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+import matplotlib.pyplot as plt
+import numpy as np
+import cascade_creation
+import rip_condition
+
+
+def plot_rip_numberofnodes(max_proba, n_min, n_max, p_init, n_cascades, K_max):
+ """
+ Plots the RIP constant for varying number of nodes (n_max included)
+ """
+ x = np.arange(n_min, n_max+1)
+ y = []
+
+ for n_nodes in x:
+ print n_nodes
+ G = cascade_creation.InfluenceGraph(max_proba=.3)
+ G.erdos_init(n=n_nodes, p=.5) #TODO: handle different inits!
+ cascades = cascade_creation.generate_cascades(G, p_init=p_init,
+ n_cascades=n_cascades)
+ M, __ = cascade_creation.icc_matrixvector_for_node(cascades, None)
+ M = cascade_creation.normalize_matrix(M)
+ y.append(rip_condition.find_kth_rip_constants(M, 5))
+
+ plt.clf()
+ plt.plot(x, y)
+ plt.show()
+
+ return x, y
+
+
+def test():
+ """
+ unit test
+ """
+ plot_rip_numberofnodes(max_proba=.3, n_min=10, n_max=15,
+ p_init=.3, n_cascades=10, K_max=5)
+
+if __name__=="__main__":
+ test()