numpy.loadtxt(fname, dtype = float, comments=’#’, delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0, encoding=’bytes’, max_rows=None, *, like= None)

import numpy as np
  
  
# Text file data converted to integer data type
File_data = np.loadtxt("example1.txt", dtype=int)
print(File_data)

[[ 1  2]
[ 3  4]
[ 5  6]
[ 7  8]
[ 9 10]]

import numpy as np
  
  
# skipping first row
# converting file data to string
data = np.loadtxt("example2.txt", skiprows=1, dtype='str')
print(data)

[['2' 'Bunty']
['3' 'Tinku']
['4' 'Rina']]

import numpy as np
  
  
# only column1 data is imported into numpy
# array from text file
data = np.loadtxt("example3.txt", usecols=1, skiprows=1, dtype='str')
  
for each in data:
    print(each)

Ankit
Bunty
Tinku
Rina
Rajesh

numpy.genfromtxt(fname, dtype=float, comments=’#’, delimiter=None, skip_header=0, skip_footer=0, converters=None, missing_values=None, filling_values=None, usecols=None, names=None,excludelist=None, deletechars=” !#$%&'()*+, -./:;<=>?@[\\\\]^{|}~”, replace_space=’_’, autostrip=False, case_sensitive=True, defaultfmt=’f%i’, unpack=None, usemask=False, loose=True, invalid_raise=True, max_rows=None, encoding=’bytes’, *, like=None) 

import numpy as np
  
Data = np.genfromtxt("example4.txt", dtype=str,
                     encoding=None, delimiter=",")
print(Data)

[['a' 'b' 'c' 'd']
['e' 'f' 'g' 'h']]

import numpy as np
  
  
# skipping last line in the file
Data = np.genfromtxt("example5.txt", dtype=str,
                     encoding=None, skip_footer=1)
print(Data)

[['This' 'is' 'GeeksForGeeks' 'Website']
['How' 'are' 'You' 'Geeks?']
['Geeks' 'for' 'Geeks' 'GFG']]