Bootstrapping a population data

[tomiwaiilori]

I have this data,

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def single_bootstrap():       bootstrap = np.zeros([101, 2])     bootstrap[:, 0] = range (0, 101)     n = int(5e5)     for i in range(n):         i = np.random.randint (1, n+1)               age = int(np.argwhere(stairs>i)[0]);               bootstrap[age, 1] += 1       return bootstrap

How do I create a multi bootstrap n number of times and plot the bar chart in Python?

I have tried doing the below. But it is not returning any value

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def multi_bootstrap(number_times):           multi_bootstrap = []     for j in range(number_times):         bootstrape = single_bootstrap()         multi_bootstrap.append([bootstrape[:, 1]])           return multi_bootstrap   number_times = 50; multi_bootstraps = multi_bootstrap(number_times)   for i in range(number_times):     plt.plot (np.arange(0, 101), age_counts, multi_bootstraps) plt.xlabel('Age') plt.ylabel('Count') plt.title('Age Distribution of Population in Manchester') plt.show()