05 Techniques for generating a simple random sample#

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import random
import numpy as np
import pandas as pd
from pandas import Series, DataFrame
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats

khanacademy

Techniques for generating a simple random sample fig 1

# Generate A Random Number From The Normal Distribution
np.random.normal()

-1.0227078604110735

# Generate Four Random Numbers From The Normal Distribution
np_normdist = np.random.normal(size=4)
print(np_normdist)
sns.distplot(np_normdist, hist=False)

[-0.1058692   0.72574354 -0.41925714 -0.51047041]

/opt/hostedtoolcache/Python/3.9.13/x64/lib/python3.9/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).
  warnings.warn(msg, FutureWarning)

<AxesSubplot:ylabel='Density'>
../_images/05 Techniques for generating a simple random sample_7_3.png 
st_normdist = stats.norm.rvs(size=4)
print(np_normdist)
sns.distplot(st_normdist, hist=False)

[-0.1058692   0.72574354 -0.41925714 -0.51047041]

/opt/hostedtoolcache/Python/3.9.13/x64/lib/python3.9/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).
  warnings.warn(msg, FutureWarning)

<AxesSubplot:ylabel='Density'>
../_images/05 Techniques for generating a simple random sample_8_3.png 
# Generate A Random Number From The Uniform Distribution
np.random.uniform()

0.9256937634924077

# Generate Four Random Numbers From The Uniform Distribution
unidist = np.random.uniform(size=4)
sns.distplot(unidist)

/opt/hostedtoolcache/Python/3.9.13/x64/lib/python3.9/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
  warnings.warn(msg, FutureWarning)

<AxesSubplot:ylabel='Density'>
../_images/05 Techniques for generating a simple random sample_10_2.png 
# Generate Four Random Integers Between 1 and 100
np.random.randint(low=1, high=100, size=4)

array([50, 38, 84, 74])

# Choice
A =['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
print(random.choice(A))
print(np.random.choice(A))

K
G

random.sample(A, 5)

['G', 'T', 'J', 'L', 'D']