Replacing values in array with decimals-CodePudding

I have an array arr100 = np.ones(100). I need to replace these values with decimals, where arr100[0] has a value 1, arr100[1] = 1/2, arr100[2] = 1/3, and so on until arr100[99] = 1/100.

I have to do this using a for loop in Python.

I am struggling to figure out how to do this so help would be appreciated. :)

CodePudding user response：

for i in range(101):
    arr100[i] = 1/arr100[i]

CodePudding user response：

You can do something like this:

arr100 = np.ones(100)
for n in range(1, 101):
    arr100[n-1] /= n

which changes arr100 to:

array([1.        , 0.5       , 0.33333333, 0.25      , 0.2       ,
       0.16666667, 0.14285714, 0.125     , 0.11111111, 0.1       ,
[....]

CodePudding user response：

You dont actually need an imported module (numpy) to do this. It can be done in a natural python list.

so you can just do this:

result = [1/(i 1) for i in range(100)]
print(result)

which returns this:

[1.0, 0.5, 0.3333333333333333, 0.25, 0.2, 0.16666666666666666, 0.14285714285714285, 0.125, 0.1111111111111111, 0.1, 0.09090909090909091, 0.08333333333333333, 0.07692307692307693, 0.07142857142857142, 0.06666666666666667, 0.0625, 0.058823529411764705, 0.05555555555555555, 0.05263157894736842, 0.05, 0.047619047619047616, 0.045454545454545456, 0.043478260869565216, 0.041666666666666664, 0.04, 0.038461538461538464, 0.037037037037037035, 0.03571428571428571, 0.034482758620689655, 0.03333333333333333, 0.03225806451612903, 0.03125, 0.030303030303030304, 0.029411764705882353, 0.02857142857142857, 0.027777777777777776, 0.02702702702702703, 0.02631578947368421, 0.02564102564102564, 0.025, 0.024390243902439025, 0.023809523809523808, 0.023255813953488372, 0.022727272727272728, 0.022222222222222223, 0.021739130434782608, 0.02127659574468085, 0.020833333333333332, 0.02040816326530612, 0.02, 0.0196078431372549, 0.019230769230769232, 0.018867924528301886, 0.018518518518518517, 0.01818181818181818, 0.017857142857142856, 0.017543859649122806, 0.017241379310344827, 0.01694915254237288, 0.016666666666666666, 0.01639344262295082, 0.016129032258064516, 0.015873015873015872, 0.015625, 0.015384615384615385, 0.015151515151515152, 0.014925373134328358, 0.014705882352941176, 0.014492753623188406, 0.014285714285714285, 0.014084507042253521, 0.013888888888888888, 0.0136986301369863, 0.013513513513513514, 0.013333333333333334, 0.013157894736842105, 0.012987012987012988, 0.01282051282051282, 0.012658227848101266, 0.0125, 0.012345679012345678, 0.012195121951219513, 0.012048192771084338, 0.011904761904761904, 0.011764705882352941, 0.011627906976744186, 0.011494252873563218, 0.011363636363636364, 0.011235955056179775, 0.011111111111111112, 0.01098901098901099, 0.010869565217391304, 0.010752688172043012, 0.010638297872340425, 0.010526315789473684, 0.010416666666666666, 0.010309278350515464, 0.01020408163265306, 0.010101010101010102, 0.01]

or you could do this to get the same:

import numpy as np

arr100 = np.ones(100)

for i,j in enumerate(arr100):
    arr100[i] = 1/(i 1)

print(arr100)