def stoch(histo):
''' for lists
Stochastic sampling means taking an element from a given collection at random
This returns a list of percentages of words in a histogram
'''
percentages = []
total_wc = 0
for item in histo:
if type(item[0]) == int:
total_wc += int(item[0])
else:
total_wc += int(item[1])
for item in histo:
if type(item[0]) == int:
freq = frequency(item[1], histo)
perc = (freq / total_wc) * 100
instance = (item[1], perc)
percentages.append(instance)
else:
freq = frequency(item[0], histo)
perc = (freq / total_wc) * 100
instance = (item[0], perc)
percentages.append(instance)
return percentages
def stoch(histo):
''' Lists
Stochastic sampling means taking an element from a given collection at random
This returns a list of percentages of word frequencies in a histogram
'''
percentages = []
total_wc = 0 # total word count
for item in histo:
if type(item[0]
) == int: # counts_list vs list_hist the order is different
total_wc += int(item[0])
else:
total_wc += int(item[1])
for item in histo:
if type(item[0]) == int:
freq = frequency(item[1], histo)
perc = (freq / total_wc) * 100
instance = (item[1], perc)
percentages.append(instance)
else:
freq = frequency(item[0], histo)
perc = (freq / total_wc) * 100
instance = (item[0], perc)
percentages.append(instance)
return percentages
def stoch(histo):
''' Stochastic sampling means taking an element from a given collection at random '''
percentages = []
total_wc = 0
for item in histo:
total_wc += int(item[1])
for item in histo:
freq = frequency(item[0], histo)
perc = freq / total_wc
instance = (item[0], perc)
percentages.append(instance)
return percentages
def stoch(histo):
''' Lists - list_hist
Stochastic sampling means taking an element from a given collection at random
This returns a list of percentages of word frequencies in a histogram
'''
percentages = []
total_wc = 0 # total word count
for item in histo:
total_wc += int(item[1])
for item in histo:
freq = frequency(item[0], histo)
perc = (freq / total_wc) * 100
instance = (item[0], perc)
percentages.append(instance)
return percentages
import random
from histogram import open_file, histogram, frequency
histogram = (histogram(open_file('test.txt')))
# histogram = {"one": 1, "fish": 4, "two": 1, "blue": 1, "red": 1}
print(frequency("the", histogram(open_file())))
# print(frequency("of", histogram(open_file())))
# print(total_words(histogram(open_file())))
total_words = total_words(histogram)
print(total_words)
def stochastic(dic, total_words):
rand_num = random.randint(1, total_words)
# print(rand_num)
total_value = 0
for key,value in dic.items():
# if rand_num <= value:
# print("total_value", total_value)
if rand_num - value - total_value <= 0:
return key
else:
total_value += value
import random
from histogram import open_file, histogram, frequency
histogram = (histogram(open_file('words.txt')))
histogram1 = histogram(open_file())
print(frequency("the", histogram1)
#histogram(open_file())))
# print(frequency("of", histogram(open_file())))
# print(total_words(histogram(open_file())))
# total_words = total_words(histogram)
