[FIXED] Reading data from a CSV file yields TypeError

Issue

I have a csv file with the following data stored as uncov_users.csv: 2867,2978

I am trying to get the data from the CSV file and print it but I am getting an error. I need the data in separate variables so I am using the for i,j loop.

My Code:

import numpy as np
uncov_users = np.genfromtxt('ucov_users.csv', delimiter=',')
for i,j in uncov_users:
    ux_coor = i  
    uy_coor = j  
    print(ux_coor,uy_coor)

Error:

Traceback (most recent call last):
  File "D:\Programmes\Final_Year\Plot_DFO\test.py", line 3, in <module>
    for i, j in uncov_users:
TypeError: cannot unpack non-iterable numpy.float64 object

I am just trying to understand what is wrong with it and how can it be fixed.

Solution

Try this:

import numpy as np

text = open("ucov_users.csv", "r")
text = ''.join([i for i in text]) \
    .replace(" ", "\n")
x = open("ucov_users.csv", "w")
x.writelines(text)
x.close()


uncov_users = np.genfromtxt('ucov_users.csv', delimiter=',')
for i,j in uncov_users:
    ux_coor = i  
    uy_coor = j  
    print(ux_coor,uy_coor)

Answered By - 3nws