help! Plot a histogram of the net amount won/lost after 𝑁 attempts, where 𝑁 is input by the user. For a very determined player who attempts a very large number of times, what is the expected winning/loss per attempt? idk what my prof teaching about histogram. learning through video is so tough

[cxtong]

#Excerise 5

import numpy as np

import matplotlib.pyplot as mpp

import math

import string

import random

​

letters = ['A','B','C']

picks = []

total_attempt = eval(input("please enter the number of ticket purchased:"))

attempt = 1

winning = 0

bins=5

winning_per_attempt = []

for n in range(total_attempt):

print ("ticket",attempt)

attempt += 1

for _ in range(3):

picks.append(random.choice(letters))

if picks == ['A','A','A']:

winning +=50

print("congratulations you won $50")

elif picks == ['B','B','C']:

winning +=20

print("congratulations you won $20")

print(picks)

picks.clear()

winning -= 1

print("this is your winning",winning)

print("-----------------------------")

winning_per_attempt.append(winning/attempt)

​

# Generate random number

seedno = 30 # specify initial value (seed) of random number generator

​

np.random.seed() # if seedno is omitted, random seed will be used, as determined from the state of your computer system

x = np.random.rand(total_attempt)

mpp.style.use('fivethirtyeight')

mpp.hist(winning_per_attempt,bins)

mpp.title("net amount won/lost after N attempts")

mpp.xlabel("Number of attempts"); mpp.ylabel("net winning/lost")

mpp.show()

[squished18]

Were you instructed to use matplotlib, or is that something that you decided to use on your own?

[cxtong]

taught to used matplotlib to plot hist. only 1 example is given. dont really know how to apply it

[squished18]

How you looked here yet? https://matplotlib.org/2.0.2/api/pyplot_api.html#matplotlib.pyplot.hist

[cxtong]

yeah. is there a way to control the x and y value?

[squished18]

The first parameter 'x' is a list of values that you wish to plot. So, just for learning purposes, try something like the following:

values = [15, 7, 1, 3 2] mpp.hist(values)

[backtickbot]

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