Created
January 12, 2017 20:23
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Histogram in Python using Matplotlib
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a = """ | |
6,66 | |
5,88 | |
2,33 | |
5,85 | |
5,68 | |
6,15 | |
5,98 | |
6,96 | |
4,33 | |
2,43 | |
6,90 | |
3,03 | |
7,00 | |
4,06 | |
6,90 | |
6,18 | |
4,23 | |
4,83 | |
1,15 | |
7,10 | |
4,98 | |
1,35 | |
4,83 | |
5,88 | |
5,06 | |
4,93 | |
7,40 | |
4,83 | |
5,25 | |
4,15 | |
4,63 | |
6,40 | |
3,83 | |
4,26 | |
5,55 | |
5,58 | |
0,50 | |
1,38 | |
6,31 | |
2,80 | |
6,16 | |
5,48 | |
6,03 | |
6,90 | |
6,68 | |
3,85 | |
2,43 | |
7,88 | |
5,55 | |
3,86 | |
5,73 | |
7,58 | |
1,75 | |
3,85 | |
4,46 | |
5,95 | |
1,95 | |
1,95 | |
5,95 | |
4,03 | |
5,81 | |
5,38 | |
6,83 | |
5,91 | |
2,80 | |
7,23 | |
6,35 | |
5,43 | |
5,65 | |
5,93 | |
3,88 | |
3,08 | |
7,88 | |
6,25 | |
6,13 | |
7,98 | |
6,51 | |
0,95 | |
6,28 | |
7,20 | |
4,80 | |
6,38 | |
3,08 | |
5,78 | |
7,63 | |
4,01 | |
4,33 | |
4,91 | |
2,98 | |
6,11 | |
1,33 | |
4,48 | |
5,06 | |
6,93 | |
3,88 | |
3,60 | |
7,30 | |
6,70 | |
7,18 | |
3,85 | |
5,05 | |
5,06 | |
5,13 | |
5,56 | |
6,33 | |
5,08 | |
4,73 | |
6,68 | |
4,13 | |
1,13 | |
2,75 | |
5,88 | |
5,81 | |
4,26 | |
5,03 | |
5,46 | |
6,43 | |
5,38 | |
7,53 | |
4,38 | |
6,03 | |
6,50 | |
""" | |
data = [float(i.strip().replace(",", ".")) for i in a.split()] | |
#!/usr/bin/env python | |
import numpy as np | |
import matplotlib.mlab as mlab | |
import matplotlib.pyplot as plt | |
mu, sigma = 100, 15 | |
x = mu + sigma*np.random.randn(10000) | |
# the histogram of the data | |
n, bins, patches = plt.hist(data, 50, normed=1, facecolor='green', alpha=0.75) | |
plt.savefig("p.png") |
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