importing for loop output to another for loop-CodePudding

I am facing problem while importing the output of a for-loop to another for loop.

My python script

import pandas as pd
import numpy as np

a=list(np.sort(np.random.uniform(low=2, high=3, size=(3,))))
a = [ round(elem, 1) for elem in a ]
#print(a)

for i,b in enumerate(a):
    c=[b,b 1]
    print(c)

for lrng in np.linspace(0,3,3):
    d=[lrng, 15.0]
    print(d[0])
    e = {d[0]: c, d[1]:[2.0,2.0]}
    print(e)

Actually facing problem in this line of code e = {d[0]: c, d[1]:[2.0,2.0]}, where value of c should be different but by this script i am getting repeated value.

current result

{0.0: [3.0, 4.0], 15.0: [2.0, 2.0]}
{1.5: [3.0, 4.0], 15.0: [2.0, 2.0]}
{3.0: [3.0, 4.0], 15.0: [2.0, 2.0]}


Expected result:

{0.0: [2.0, 3.0], 15.0: [2.0, 2.0]}
{1.5: [2.1, 3.1], 15.0: [2.0, 2.0]}
{3.0: [3.0, 4.0], 15.0: [2.0, 2.0]}

CodePudding user response：

Your problem is that you keep over writting the value if c which is why you only ever get the last value calculated in the next loop. You need to store the values in a list then read them back as needed.

Here I've created an empty list c = [] & then in the 3rd loop read out the values of c as indexed by the counter idx

import pandas as pd
import numpy as np

a=list(np.sort(np.random.uniform(low=2, high=3, size=(3,))))
a = [ round(elem, 1) for elem in a ]
#print(a)

c = []
for i,b in enumerate(a):
    c.append([b,b 1])
    print(b, b 1)

for idx, lrng in enumerate(np.linspace(0,3,3)):
    d=[lrng, 15.0]
    print(d[0])
    e = {d[0]: c[idx], d[1]:[2.0,2.0]}
    print(e)