Created
May 15, 2016 02:55
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block probability
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import matplotlib | |
import numpy.random | |
import matplotlib.pyplot as plt | |
from matplotlib.ticker import FuncFormatter | |
#https://www.reddit.com/r/Bitcoin/comments/4gp28d/how_to_avoid_getting_ripped_off_in_large_btc/ | |
#https://en.bitcoin.it/wiki/Confirmation | |
cumulative = True | |
def to_percent(y, position): | |
# Ignore the passed in position. This has the effect of scaling the default | |
# tick locations. | |
s = str(100 * y) | |
# The percent symbol needs escaping in latex | |
if matplotlib.rcParams['text.usetex'] is True: | |
return s + r'$\%$' | |
else: | |
return s + '%' | |
plt.clf() | |
plt.hist(numpy.random.exponential(10, 1e7), bins=100, normed=True, cumulative=cumulative) | |
plt.xlim(0, 80) | |
plt.xlabel('Minutes waited' if cumulative else 'Minutes between blocks') | |
plt.ylabel('Probability of block being found' if cumulative else 'Probability') | |
plt.title('Block waiting time' if cumulative else 'Time between blocks') | |
plt.grid(1) | |
plt.gca().yaxis.set_major_formatter(FuncFormatter(to_percent)) | |
#plt.show() | |
plt.savefig('block-cumulative-interval.png' if cumulative else 'block-interval.png') |
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Wuttichai Chauymouang