plt.hist's density argument does not work. I tried to use the density argument in the plt.hist function to normalize stock returns in my plot, but it didn't work. The following code worked fine for me and give me the probability density function which I desired. import matplotlib import numpy as np import matplotlib.pyplot as plt np.random.seed(19680801) # example data mu = 100 # mean of distribution sigma = 15 # standard deviation of distribution x = mu + sigma * np.random.randn(437) num_bins = 50 plt.hist(x, num_bins, density=1) plt.show() But when I tried it with stock data, it simply didn't work. The result gave the unnormalized data. I didn't find any abnormal data in my data array. import numpy as np import matplotlib.pyplot as plt fig = plt.figure() plt.hist(returns, 50,density = True) plt.show() # "returns" is a np array consisting of 360 days of stock returns Continue reading...
