Error in the demonstrated example (py3.5, spyder)

[AbhishekHP2016]

When I run this code:
import numpy as np
import DBSCAN_multiplex as DB
data = np.random.randn(15000, 7)
N_iterations = 50
N_sub = 9 * data.shape[0] / 10
subsamples_matrix = np.zeros((N_iterations, N_sub), dtype = float)#int)
for i in range(N_iterations):
subsamples_matrix[i] = np.random.choice(data.shape[0], N_sub, replace = False)
eps, labels_matrix = DB.DBSCAN(data, minPts = 3, subsamples_matrix = subsamples_matrix, verbose = True)

TypeError: 'float' object cannot be interpreted as an integer

[GGiecold-zz]

Have you tried running this program with Python 2.7? DBSCAN_multiplex has not yet been ported to Python3.*. Gregory On May 30, 2017 3:37 AM, "Abhishek H P" <notifications@github.com> wrote: When I run this code: import numpy as np import DBSCAN_multiplex as DB data = np.random.randn(15000, 7) N_iterations = 50 N_sub = 9 * data.shape[0] / 10 subsamples_matrix = np.zeros((N_iterations, N_sub), dtype = float)#int) for i in range(N_iterations): subsamples_matrix[i] = np.random.choice(data.shape[0], N_sub, replace = False) eps, labels_matrix = DB.DBSCAN(data, minPts = 3, subsamples_matrix = subsamples_matrix, verbose = True) TypeError: 'float' object cannot be interpreted as an integer — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#6>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AK3j5yd91PlkVuhI2gHOMI1qe95GvqRGks5r-8cugaJpZM4Np7P1> .

[kingbuuhuu]

Just add a np.ceil to N_sub and replace every xrange by range in the example and the DBSCAN_multiplex.py to make it work in python 3.