import matplotlib.pyplot as plt
import numpy as np

data = np.random.randn(1000)

plt.hist(data, bins=16)
plt.title(''''Histogram'''')
plt.show()

import matplotlib.pyplot as plt
import numpy as np

data = np.random.randn(1000)
fig, ax1 = plt.subplots()
counts, bins, patches = ax1.hist(data, bins=30, alpha=0.6, color=''''b'''', label=''''Histogram'''')
ax2 = ax1.twinx()
cdf = np.cumsum(counts)
ax2.plot(bins[:-1], cdf, color=''''r'''', marker=''''o'''', label=''''CDF'''')
ax1.set_xlabel(''''Value'''')
ax1.set_ylabel(''''Frequency'''', color=''''b'''')
ax2.set_ylabel(''''Cumulative Frequency'''', color=''''r'''')
plt.title(''''Histogram with Line Chart'''')
fig.legend(loc=''''upper left'''', bbox_to_anchor=(0.1,0.9))
plt.show()