In [1]:

    

import numpy as np


    

In [2]:

    

with open('data/src/sample.txt') as f:
    print(f.read())


    

    




11 12 13 14
21 22 23 24
31 32 33 34

In [3]:

    

a = np.loadtxt('data/src/sample.txt')


    

In [4]:

    

print(type(a))


    

    




<class 'numpy.ndarray'>

In [5]:

    

print(a)


    

    




[[11. 12. 13. 14.]
 [21. 22. 23. 24.]
 [31. 32. 33. 34.]]

In [6]:

    

print(a.dtype)


    

    




float64

In [7]:

    

with open('data/src/sample.csv') as f:
    print(f.read())


    

    




11,12,13,14
21,22,23,24
31,32,33,34

In [8]:

    

# print(np.loadtxt('data/src/sample.csv'))
# ValueError: could not convert string to float: '11,12,13,14'


    

In [9]:

    

print(np.loadtxt('data/src/sample.csv', delimiter=','))


    

    




[[11. 12. 13. 14.]
 [21. 22. 23. 24.]
 [31. 32. 33. 34.]]

In [10]:

    

a = np.loadtxt('data/src/sample.csv', delimiter=',', dtype='int64')


    

In [11]:

    

print(a)


    

    




[[11 12 13 14]
 [21 22 23 24]
 [31 32 33 34]]

In [12]:

    

print(a.dtype)


    

    




int64

In [13]:

    

with open('data/src/sample_header_index.csv') as f:
    print(f.read())


    

    




,a,b,c,d
ONE,11,12,13,14
TWO,21,22,23,24
THREE,31,32,33,34

In [14]:

    

a = np.loadtxt('data/src/sample_header_index.csv', delimiter=',', dtype='int64',
               skiprows=1, usecols=[1, 2, 3, 4])


    

In [15]:

    

print(a)


    

    




[[11 12 13 14]
 [21 22 23 24]
 [31 32 33 34]]