Checking for randomness using the Chi-Square Test

I'm running a simulation for a class project that relies heavily on random number generators, and as a result we're asked to test the random number generator to see just how "random" it is using the Chi-Square static. After looking through the some posts here, I used the follow code to find the answer:

observed = []
for i in range(0, numIterations):
    tempList.append(randint(0, 100))
data = np.array(observed)
print "(chi squared statistic, p-value) with", numOfIter, "samples generated: ", chisquare(data)

However, I'm getting a p-value of zero when numIterations is greater than 10, which doesn't really make sense considering the null hypothesis is that the data is uniform. Am I misinterpreting the results? Or is my code simply wrong?