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Commit 8334184e authored by Mauro Donega's avatar Mauro Donega
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clean up

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quantile.ipynb 0 → 100644
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%% Cell type:markdown id: tags:
# Quantiles
%% Cell type:code id: tags:
``` python
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from scipy.stats import norm
plt.figure(figsize=[5,15])
plt.subplot(211)
# cumulative of the gaussian pdf
x = np.linspace(-5,5,100)
plt.plot(x, norm.cdf(x),'b-', alpha=0.6)
plt.xlabel(r'x [units]')
plt.ylabel(r'cdf(x)')
# draw vertical line from (70,100) to (70, 250)
for i in range(0,11):
step = i*0.1
plt.plot([-5,5], [step, step], 'k--', lw='0.2')
plt.plot([norm.ppf(step),norm.ppf(step)], [step, 0], 'k--', lw='0.2')
plt.subplot(212)
plt.subplots_adjust(top=0.5)
# gaussian pdf
x = np.linspace(-5,5,100)
plt.plot(x, norm.pdf(x),'b-', alpha=0.6)
plt.xlabel(r'x [units]')
plt.ylabel(r'pdf(x)')
s =[]
p =[]
for i in range(0,11):
step = i*0.1
s.append("{:.1f}".format(step))
p.append("{:.3f}".format(norm.ppf(step)))
plt.plot([norm.ppf(step),norm.ppf(step)], [norm.pdf(norm.ppf(step)), 0], 'k--', lw='0.2')
print (s)
print (p)
```
%% Output
['0.0', '0.1', '0.2', '0.3', '0.4', '0.5', '0.6', '0.7', '0.8', '0.9', '1.0']
['-inf', '-1.282', '-0.842', '-0.524', '-0.253', '0.000', '0.253', '0.524', '0.842', '1.282', 'inf']
%% Cell type:code id: tags:
``` python
```
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