CODEWITHSUNDEEP
pythonmachine-learning
favarin
favarin

Reputation: 11

Apply a random generator based on percentage values

I have a spreadsheet with 7 thousands player stats from Pro Evolution Soccer and i wanna get the percentage of incidence of each value of each attribute based on his position.

Something like:

Striker - Attack = 99: 1.3%; 98: 1.8%; 97: 3.5%;...

CenterBack - Attack = 99: 0.002%; 98: 0.003%; 97: 0.006%;...

Then I will create a random player generator based on this parameters.

Upvotes: 1

Views: 139

Answers (2)

eretmochelys
eretmochelys

Reputation: 613

I think np.random.choice does the trick if you want to sample directly:

import numpy as np

# generate some stats (ie your soccer values)
np.random.seed(1)
soccer_stats = np.random.normal(0, 1, size=100)

# sample from them
sampled_stat = np.random.choice(soccer_stats)
print(sampled_stat)

-0.8452056414987196

give a look at np.histogram to observe the distribution you're sampling from. collections.Counter is nice for looking at the distribution of non numerical data (maybe your soccer players names?)

Upvotes: 1

Joris
Joris

Reputation: 1188

To answer your question directly: when you want to know percentiles of a certain distribution you can use numpy

import numpy as np
strikerAttackValueList=np.random.randint(0,100,1000)#example of stats list    
percentile50=np.percentile(strikerAttackValueList,50)

But this is as much a math statistics question as a coding question.

First step would be to check how the values in Pro Evolution Soccer are distributed. This could be normal, uniform,.. (https://en.wikipedia.org/wiki/List_of_probability_distributions ) with a certain average and standard deviation. To know that, import the stat you want to study and do something like this: http://www.insightsbot.com/blog/WEjdW/fitting-probability-distributions-with-python-part-1

Then, to generate random player stats you can use either random or numpy (example assuming uniform distribution between 0 and 100):

import random
strikerAttackValue=random.randint(0,100)
print(strikerAttackValue)

import numpy as np
strikerAttackValue=np.random.randint(0,100)
print(strikerAttackValue)

Upvotes: 2

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