import matplotlib.pyplot as plt
import numpy as np
#matplotlib inline
x = [5.41E-22,6.56E-07,1.41E-11,8.96E-02,6.69E-13,2.61E-34,2.97E-09,2.11E-15,8.73E-35,1.99E-11,5.08E-24,7.96E-17,1.59E-05,1.49E-10,1.44E-07,2.50E-17,4.80E-11,9.70E-22,2.98E-24,3.00E-25,7.01E-12,2.26E-15,1.06E-25,6.58E-22,1.44E-19,
1.64E-9,
1.76E-1,
1.8E-10,
5.50E-2,
2.35E-08,
9.4E-11,
1.36E-4,
3.76E-10,
2.50E-1,
4.80E-1,
2.11E-18,
1.64E-3,
9.70E-2,
2.69E-2,
1.48E-09,
4.42E-02,
5.34E-1,
2.12E-09,
1.00E+00,
1.20E-2,
5.02E-5,
3.27E-12,
1.15E-1,
3.33E-1,
2.24E-02
]
plt.hist(x, density=True, bins=51)
plt.ylabel('Corpus');
plt.xlabel('Probability');
plt.show()

import matplotlib.pyplot as plt
import numpy as np
#matplotlib inline
x = [5.41E-22,6.56E-07,1.41E-11,8.96E-02,6.69E-13,2.61E-34,2.97E-09,2.11E-15,8.73E-35,1.99E-11,5.08E-24,7.96E-17,1.59E-05,1.49E-10,1.44E-07,2.50E-17,4.80E-11,9.70E-22,2.98E-24,3.00E-25,7.01E-12,2.26E-15,1.06E-25,6.58E-22,1.44E-19,
1.64E-9,
1.76E-1,
1.8E-10,
5.50E-2,
2.35E-08,
9.4E-11,
1.36E-4,
3.76E-10,
2.50E-1,
4.80E-1,
2.11E-18,
1.64E-3,
9.70E-2,
2.69E-2,
1.48E-09,
4.42E-02,
5.34E-1,
2.12E-09,
1.00E+00,
1.20E-2,
5.02E-5,
3.27E-12,
1.15E-1,
3.33E-1,
2.24E-02
]
plt.hist(x, density=True, bins=51)
plt.ylabel('Corpus');
plt.xlabel('Probability');
plt.show()

#matplotlib inline