I'm struggling to create 5 histograms for a set of data in Python. Conceptually the code should produce a histogram which gets smoother and closer to a normal curve as the number of values increases in the array. Mine are all plotting on the same graph however and are separated at weird values and I don't know why. They're not curve like at all. For reference, my 5 arrays of values are generated randomly from a normal distribution with a mean of 12, standard deviation of 1, and contain 5, 50, 500, 5000, and 5000000 values respectively. import numpy as npimport matplotlib.pyplot as plt101112np.random.normal(loc=12, scale=1, size=5)np.random.normal(loc=12, scale=1, size=50)np.random.normal(loc=12, scale=1, size=500)np.random.normal(loc=12, scale=1, size=5000)np.random.normal(loc=12, scale=1, size=5000000)13x1 =14x2 =15x3 =16x4 =17x5 =18histl - np.histogram(x1)plt.hist(hist1)192021hist2 =np.histogram(x2)22plt.hist(hist2)23hist3 =np.histogram(x3)24plt.hist(hist3)25hist4 =np.histogram(x4)26plt.hist(hist4)27hist5 =np.histogram(x5)28plt.hist(hist5)29 108640.000.250.500.751.00125150175lеб2.

Hey, np.histogram and plt.hist do the same thing. When you have converted to the frequency table…

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Computer Networking: A Top-Down Approach (7th Edition)

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Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

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I'm struggling to create 5 histograms for a set of data in Python. Conceptually the code should produce a histogram which gets smoother and closer to a normal curve as the number of values increases in the array. Mine are all plotting on the same graph however and are separated at weird values and I don't know why. They're not curve like at all.

For reference, my 5 arrays of values are generated randomly from a normal distribution with a mean of 12, standard deviation of 1, and contain 5, 50, 500, 5000, and 5000000 values respectively.