Replace random elements in list with random values in python

Question

I have the following set of values stored in a list.

[-1.7683218, 0.22206295, -0.28429198, 5.925369, -3.952484, -3.0728238, 0.09690776, -0.31914753, 3.9695702, 26.934353, 1.4882066, 1.8194668, -0.5614318, 1.2354431, -0.09714768, -0.15579335, -0.059994906, 1.0105655, -23.25607, 31.982368, -0.09390785, 0.17786688, 0.36164832, -4.673975, 13.495866, -3.57134, 0.5583399, -1.801314, 2.4207468, 2.0513844, -3.429592, -9.599998, 23.412394, -3.963623, 6.930485, 2.5186272, 0.6805691, -1.1615586, -0.915736, -2.6307302, -14.409785, 0.6327307, 10.512744, -0.09292421, -0.61977243, 0.35928893, -1.3844814, 8.098062, -0.8270248, 0.47219157, 0.089366496, 0.9056338, 1.5297629, 3.3246832, -0.9748858, 36.62332, -1.0525678, -0.87139374, 6.7600174, 36.210625, -0.25728267, 14.568578, 0.87466383, -4.2237897, -5.4309, 19.762472, 0.8426512, -0.7807278, 0.03435099, 12.787761, -4.9308186, -1.4322343, 0.49790275, -12.979129, 0.18121482, -0.81953144, -1.5393608, 17.757078, 3.5726204, -11.319154, -0.002896044, -1.8806648, 0.30027565, -2.6210017, 16.230186, -2.2566936, 37.37506, -2.7738526, -0.91440165, -3.652771, 1.8378688, -0.25519317, 0.5222581, 0.2189773, 23.825306, 0.3779062, 2.6709516, 0.84001434, -0.41394734, -0.600579, -3.1629875, 0.2880843, -3.9132822, 5.674796, -0.5569526, 0.30253112, -4.4269695, 4.5206604, -0.8477638, 0.0032483074, -2.2814171, 0.5524869, -1.4271426, -0.24263692, 1.0095457, -3.187037, -1.6656531, 1.4805393, 0.064992905, -4.8124804, -0.07194552, -0.28692132, -0.19502515, 0.010771384, -32.744797, 1.2642047, 6.3942785, -1.2971659, 29.70087, 0.19707158, -2.734262, 2.8497686, -1.710305, -1.3836008, 22.758884, -1.8488939, 4.1740856, 0.26019523, -8.814447, -3.937495, 0.22731477, -0.7874651, 17.22002, -7.89242, -0.5795766, 3.3960745, 1.0440702, 0.5483718, 1.2849183, -0.63732344, -40.38428, -4.25527, 3.034935, 0.25527972, -0.81940174, -7.0720696, 1.7420169, 14.904871, -1.5399592, 0.20110837, 0.1902977, 2.5790472, -28.560707, 0.09560776, -0.973604, 0.6214314, -5.1268454, -0.9104073, 33.082394, 0.23800176, -9.696023, 12.288443, -16.52249, -7.6811, -21.928356, 25.690449, -0.6803232, -1.4738222, -1.831514, 0.00013296002, -3.1330614, 3.6067219, -3.0617614, -6.334016, -24.856865, -6.0669985, 2.8829474, 0.76423097, -0.21836776, -2.3173273, -2.092735, -0.19577695, 4.2984896, 0.029742926, 1.0902604, -0.28707412, -0.1671038, -0.4607489, -15.966867, -1.7149612, -1.3445716, 1.400264, 4.906401, -6.314724, -0.92188597, -0.14341217, -6.819194, 1.2750683, 21.634096, 0.5503013, 5.2122655, -0.096101895, -0.69029164, 2.6239898, -26.33101, -3.7901835, 10.026649, 1.0661886, 0.8891293, 34.24628, -0.9036363, -4.4846773, -30.846636, -5.8609247, -0.018534392, 4.657759e-06, 16.96108, 10.725708, -0.3170653, -3.2331817, 0.73887914, 0.69840825, 0.9043666, 1.0727708, 1.6571997, -0.70257163, 2.4863558, 0.07501343, -35.059708, 0.72496796, -3.0723267, -3.2004805, -0.9447444, 0.56954986, 2.6018164, -0.49256825, 22.71359, 0.45523545, -2.1936522, 4.008838, 0.62327665, 10.315046, 1.4006382, 1.1290226, 1.2660133, -8.46607]

I want to be able to create 100 more lists that are similar to this one but contain randomly chosen different random values within the highest and lowest values of the original list. Let's consider a smaller example to better understand the problem. Let's consider that I have the list with highest lowest value -1 and highest value 7.2.

original list   :  [0.5, 0.8, 1.1, 2.5, 7.2, -1]
random list 1   :  [0.5, 0.2, 1.4, 4.5, 6.2, -0.5]
random list 2   :  [5.3, 0.3, 0.7, 2.3, 4.2, -0.1]
....
random list 100 :  [0.5, 0.9, 1.1, 2,1, 6.5, -1]

The key is that not all values have to change(in some cases they can like in list 2 for example). Is there a straightforward way to accomplish this in Python?

Answer 1

smallest = min(original_list)
largest = max(original_list)

newlist1 = [random.uniform(smallest, largest) for _ in range(len(original_list))]
newlist2 = [random.uniform(smallest, largest) for _ in range(len(original_list))]
# and so on

Answer 2

Using list comprehension and numpy.random.uniform :

import numpy as np

orig = [-1.7683218, 0.22206295, -0.28429198, 5.925369, -3.952484, -3.0728238, 0.09690776, -0.31914753, 3.9695702, 26.934353, 1.4882066, 1.8194668, -0.5614318, 1.2354431, -0.09714768, -0.15579335, -0.059994906, 1.0105655, -23.25607, 31.982368, -0.09390785, 0.17786688, 0.36164832, -4.673975, 13.495866, -3.57134, 0.5583399, -1.801314, 2.4207468, 2.0513844, -3.429592, -9.599998, 23.412394, -3.963623, 6.930485, 2.5186272, 0.6805691, -1.1615586, -0.915736, -2.6307302, -14.409785, 0.6327307, 10.512744, -0.09292421, -0.61977243, 0.35928893, -1.3844814, 8.098062, -0.8270248, 0.47219157, 0.089366496, 0.9056338, 1.5297629, 3.3246832, -0.9748858, 36.62332, -1.0525678, -0.87139374, 6.7600174, 36.210625, -0.25728267, 14.568578, 0.87466383, -4.2237897, -5.4309, 19.762472, 0.8426512, -0.7807278, 0.03435099, 12.787761, -4.9308186, -1.4322343, 0.49790275, -12.979129, 0.18121482, -0.81953144, -1.5393608, 17.757078, 3.5726204, -11.319154, -0.002896044, -1.8806648, 0.30027565, -2.6210017, 16.230186, -2.2566936, 37.37506, -2.7738526, -0.91440165, -3.652771, 1.8378688, -0.25519317, 0.5222581, 0.2189773, 23.825306, 0.3779062, 2.6709516, 0.84001434, -0.41394734, -0.600579, -3.1629875, 0.2880843, -3.9132822, 5.674796, -0.5569526, 0.30253112, -4.4269695, 4.5206604, -0.8477638, 0.0032483074, -2.2814171, 0.5524869, -1.4271426, -0.24263692, 1.0095457, -3.187037, -1.6656531, 1.4805393, 0.064992905, -4.8124804, -0.07194552, -0.28692132, -0.19502515, 0.010771384, -32.744797, 1.2642047, 6.3942785, -1.2971659, 29.70087, 0.19707158, -2.734262, 2.8497686, -1.710305, -1.3836008, 22.758884, -1.8488939, 4.1740856, 0.26019523, -8.814447, -3.937495, 0.22731477, -0.7874651, 17.22002, -7.89242, -0.5795766, 3.3960745, 1.0440702, 0.5483718, 1.2849183, -0.63732344, -40.38428, -4.25527, 3.034935, 0.25527972, -0.81940174, -7.0720696, 1.7420169, 14.904871, -1.5399592, 0.20110837, 0.1902977, 2.5790472, -28.560707, 0.09560776, -0.973604, 0.6214314, -5.1268454, -0.9104073, 33.082394, 0.23800176, -9.696023, 12.288443, -16.52249, -7.6811, -21.928356, 25.690449, -0.6803232, -1.4738222, -1.831514, 0.00013296002, -3.1330614, 3.6067219, -3.0617614, -6.334016, -24.856865, -6.0669985, 2.8829474, 0.76423097, -0.21836776, -2.3173273, -2.092735, -0.19577695, 4.2984896, 0.029742926, 1.0902604, -0.28707412, -0.1671038, -0.4607489, -15.966867, -1.7149612, -1.3445716, 1.400264, 4.906401, -6.314724, -0.92188597, -0.14341217, -6.819194, 1.2750683, 21.634096, 0.5503013, 5.2122655, -0.096101895, -0.69029164, 2.6239898, -26.33101, -3.7901835, 10.026649, 1.0661886, 0.8891293, 34.24628, -0.9036363, -4.4846773, -30.846636, -5.8609247, -0.018534392, 4.657759e-06, 16.96108, 10.725708, -0.3170653, -3.2331817, 0.73887914, 0.69840825, 0.9043666, 1.0727708, 1.6571997, -0.70257163, 2.4863558, 0.07501343, -35.059708, 0.72496796, -3.0723267, -3.2004805, -0.9447444, 0.56954986, 2.6018164, -0.49256825, 22.71359, 0.45523545, -2.1936522, 4.008838, 0.62327665, 10.315046, 1.4006382, 1.1290226, 1.2660133, -8.46607]

a = min(orig)
b = max(orig)
n = len(orig)
res = [[np.random.uniform(a,b,n)] for i in range(100)]

and you get res which is a list of 100 lists (with size len(orig) ) of uniformly distributed numbers over [min(orig), max(orig)) .

Answer 3

Below code prints what you need as the output. First you have to find the max and min numbers in the original list and then you have to use random library and random.uniform() function to get what you need.

import random
original_list = [0.5, 0.8, 1.1, 2.5, 7.2, -1]
max_number = max(original_list)
min_number = min(original_list)

'''because you need 100 more lists'''
for i in range(100):
    random_list = []
    for j in range(len(original_list)):
        random_list.append(round(random.uniform(min_number,max_number),1))
    print('random list '+str(i+1)+' ', end='')
    print(random_list)