import math
10*math.log10(10./5.)

10*math.log10(5./10.)

10*math.log10(30./10.)

10*math.log10(100./1.)

import scipy, math
import matplotlib.pyplot as plt

# Graphing helper function
def setup_graph(title='', x_label='', y_label='', fig_size=None):
    fig = plt.figure()
    if fig_size != None:
        fig.set_size_inches(fig_size[0], fig_size[1])
    ax = fig.add_subplot(111)
    ax.set_title(title)
    ax.set_xlabel(x_label)
    ax.set_ylabel(y_label)

freq = 1 #hz - cycles per second
amplitude = 10
time_to_plot = 2 # second
sample_rate = 100 # samples per second
num_samples = sample_rate * time_to_plot

#afeixit per Pere per evitar representar log(0)
time_origin=0.01

t = scipy.linspace(time_origin, time_to_plot, num_samples)
#signal = [amplitude * math.sin(freq * i * 2*math.pi) for i in t] # Explain the 2*pi
"""
ver que signal es una lista de
num_samples
con las muestras de la funcion a samplear 
"""
signal = [amplitude * math.log10(i) for i in t]

setup_graph(x_label='', y_label='', title='log10')
plot(t, signal)