Bio nomial probability in datascience using python

from scipy.stats import binom
import matplotlib.pyplot as plt
import numpy as np

n,p=10,0.5

x=np.arange(0,10,0.001)
plt.plot(x,binom.pmf(x,n,p))

output:

exponential pdf/ power Law in datascience using python

from scipy.stats import expon
import matplotlib.pyplot as plt
import numpy as np

x=np.arange(0,10,0.001)
plt.plot(x,expon.pdf(x))

output:

Normal/Gaussian in datascience in python

from scipy.stats import norm
import matplotlib.pyplot as plt
import numpy as np

x=np.arange(-3,3,0.001)
plt.plot(x,norm.pdf(x))

output:

import matplotlib.pyplot as plt
import numpy as np

mu= 5.0
sigma = 2.0

values = np.random.normal(mu,sigma,10000)
#10000 is data points
plt.hist(values,50)
#50 is number of bars

plt.show()

output:

uniform distribution in datascience uisng python

import numpy as np
import matplotlib.pyplot as plt

values=np.random.uniform(-10.0,10.0,10000)

plt.hist(values,50)
plt.show()

output:

standard deviation in datascience using python matplot lib

import numpy as np
import matplotlib.pyplot as plt

income= np.random.normal(100.0,20.0,10000)

plt.hist(income,50)
plt.show()

output:

income.std()

19.99095786583713

import numpy as np 
import matplotlib.pyplot as plt

income= np.random.normal(100.0,30.0,10000)

plt.hist(income,50)
plt.show()

Mean ,Median and Mode in datascience using python programming

Example1:
import numpy as np
income= np.random.normal(27000,15000,10000)
np.mean(income)

output:

26908.89269950194

%matplotlib inline
import matplotlib.pyplot as plt
plt.hist(income,50)
plt.show()

np.median(income)

output:

26735.667830776893

Mode:
ages=np.random.randint(18,high=90,size=500)
ages




output:

array([62, 66, 21, 39, 74, 56, 20, 35, 29, 37, 53, 88, 39, 54, 45, 34, 22,
       29, 46, 82, 38, 29, 36, 56, 87, 35, 39, 42, 67, 50, 60, 58, 64, 19,
       80, 18, 22, 84, 56, 65, 60, 38, 77, 21, 45, 88, 45, 49, 71, 72, 31,
       77, 41, 41, 27, 50, 51, 81, 29, 22, 41, 71, 78, 69, 41, 35, 43, 21,
       81, 80, 31, 73, 46, 44, 61, 78, 39, 72, 50, 28, 60, 19, 66, 73, 40,
       77, 42, 43, 80, 81, 86, 87, 37, 61, 53, 28, 74, 55, 53, 35, 35, 29,
       49, 82, 75, 19, 57, 53, 19, 55, 34, 45, 80, 62, 43, 56, 86, 69, 33,
       70, 52, 49, 32, 77, 73, 18, 50, 51, 73, 34, 50, 89, 48, 28, 35, 64,
       64, 35, 69, 53, 62, 63, 38, 80, 51, 67, 53, 72, 68, 50, 36, 80, 19,
       74, 39, 59, 53, 83, 82, 70, 63, 78, 25, 59, 22, 47, 39, 36, 60, 35,
       47, 87, 69, 54, 28, 51, 80, 43, 68, 61, 79, 61, 63, 36, 82, 42, 88,
       66, 71, 73, 27, 50, 68, 20, 74, 50, 55, 86, 87, 72, 76, 79, 76, 43,
       74, 19, 27, 60, 40, 61, 82, 26, 52, 62, 32, 20, 20, 25, 20, 84, 83,
       54, 56, 74, 68, 83, 68, 38, 86, 25, 26, 81, 58, 57, 68, 58, 20, 71,
       28, 51, 22, 63, 51, 19, 89, 89, 37, 46, 27, 77, 78, 83, 70, 38, 39,
       67, 18, 52, 85, 37, 31, 27, 85, 81, 86, 59, 49, 22, 26, 44, 32, 58,
       63, 21, 60, 35, 70, 39, 54, 52, 33, 18, 67, 44, 74, 31, 22, 60, 78,
       27, 68, 40, 59, 53, 20, 21, 26, 32, 86, 82, 54, 61, 64, 27, 64, 26,
       51, 55, 70, 30, 18, 40, 31, 44, 40, 64, 73, 89, 75, 39, 20, 85, 20,
       68, 29, 37, 83, 23, 28, 51, 82, 23, 26, 39, 36, 41, 57, 76, 27, 89,
       23, 42, 25, 44, 44, 41, 64, 32, 24, 27, 68, 52, 39, 19, 76, 40, 87,
       68, 66, 30, 53, 54, 32, 63, 28, 85, 36, 87, 66, 59, 80, 88, 53, 66,
       58, 40, 69, 53, 59, 74, 64, 71, 58, 69, 74, 37, 88, 31, 72, 66, 34,
       49, 80, 71, 75, 41, 40, 89, 49, 63, 86, 78, 34, 68, 21, 65, 61, 73,
       49, 35, 84, 23, 79, 64, 79, 65, 54, 75, 25, 82, 22, 73, 89, 58, 66,
       76, 53, 29, 27, 32, 33, 57, 81, 31, 43, 76, 46, 38, 47, 49, 61, 42,
       49, 28, 50, 54, 49, 22, 81, 81, 85, 55, 51, 20, 42, 52, 68, 47, 62,
       29, 75, 55, 55, 57, 21, 43, 52, 57, 47, 63, 46, 38, 73, 46, 72, 54,
       49, 54, 39, 63, 42, 59, 70, 81, 55, 74, 62, 71, 23, 26, 21, 25, 85,
       50, 38, 78, 68, 24, 38, 50])

mean,median,mode in datascience using python

Mean:

avg is called as mean
mean=sum of the numbers/total numbers
example:
numbers=1,2,3,4,5,6
sum of numbers=21
total numbers=6
mean=21/6
mean=3.5

Median:

set of numbers:0,1,2,2,0,0,3,2,0
after sorting:0,0,0,0,1,2,2,2,3

"1" is the median of the given set


Mode:

mode is most common number in the given series or set

given series :0,1,2,0,3,1,2,0,6,0

mode is "0"

most common number is zero in the given series

pygame colour filling in python

import pygame, sys
from pygame.locals import *
pygame.init()
displaysurf=pygame.display.set_mode((800,400),0,32)
pygame.display.set_caption('Drawing!')
#setup colour
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
BLUE = (0, 0, 255)
GREEN = (0, 255, 0)
RED = (255, 0, 0)
SILVER = (192, 192, 192)
PINK=(255,105,180)

displaysurf.fill(WHITE)
pygame.draw.line(displaysurf, BLUE, [0, 0], [100, 100], 30)
pygame.draw.line(displaysurf, BLUE, [0, 0], [100, 100], 10)

#pygame.draw.line(displaysurf, GREEN, [0, 0], [60, 100], 5)
pygame.draw.line(displaysurf, GREEN, [0, 0], [0, 400], 100)
pygame.draw.line(displaysurf, RED, [100,0], [100, 400], 100)
pygame.draw.line(displaysurf, BLACK, [300,0], [300, 400], 100)
pygame.draw.line(displaysurf, BLUE, [400,0], [400, 400], 100)
pygame.draw.line(displaysurf, GREEN, [500, 0], [500, 400], 100)
pygame.draw.line(displaysurf, PINK, [600,0], [600, 400], 100)
pygame.draw.line(displaysurf, SILVER, [700,0], [700, 400], 100)
pygame.draw.line(displaysurf, BLUE, [800,0], [800, 400], 100)


pixobj=pygame.PixelArray(displaysurf)
pixobj[480][380]=BLACK
pixobj[482][382]=BLACK
pixobj[484][384]=BLACK
pixobj[486][386]=BLACK
pixobj[488][388]=BLACK
del pixobj


while True:
    for event in pygame.event.get():
        if event.type == QUIT:
            pygame.quit()
            sys.exit()
           
    pygame.display.update()

output:

first pygame in python

import pygame, sys
from pygame.locals import *
pygame.init()
displaysurf=pygame.display.set_mode((400,300))
pygame.display.set_caption('Hello world!!')
while True:
    for event in pygame.event.get():
        if event.type == QUIT:
            pygame.quit()
            sys.exit()
           
    pygame.display.update()

output:

even or odd using python language

list_of_numbers=[1,2,3,4,5,6]
for number in list_of_numbers:
    if number%2==0:
        print(number,"is even")
    else :
        print(number,"is odd")

print("end of the code")

output:

1 is odd
2 is even
3 is odd
4 is even
5 is odd
6 is even
end of the code

tuple in python

n=input("enter a comma separated number:")
l=n.split(",")
t=tuple(l)
print("l=",l,"t=",t)
print(type(l),"\n",type(t))

output:
enter a comma separated number:2,3,4,5
l= ['2', '3', '4', '5'] t= ('2', '3', '4', '5')
<class 'list'>
 <class 'tuple'>