Python load array

>>> from numpy import *
>>>
>>> data = loadtxt("myfile.txt")                       # myfile.txt contains 4 columns of numbers
>>> t,z = data[:,0], data[:,3]                         # data is 2D numpy array
>>>
>>> t,x,y,z = loadtxt("myfile.txt", unpack=True)                  # to unpack all columns
>>> t,z = loadtxt("myfile.txt", usecols = (0,3), unpack=True)     # to select just a few columns
>>> data = loadtxt("myfile.txt", skiprows = 7)                    # to skip 7 rows from top of file
>>> data = loadtxt("myfile.txt", comments = '!')                  # use '!' as comment char instead of '#'
>>> data = loadtxt("myfile.txt", delimiter=';')                   # use ';' as column separator instead of whitespace
>>> data = loadtxt("myfile.txt", dtype = int)                     # file contains integers instead of floats

Source: stackoverflow.com

Similar codes

2 votes120 views1 answer
Python private variables
Python
19 votes124 views4 answers
Mean pandas
Python
13 votes119 views2 answers
Map function using lambda in python
Python
3 votes111 views5 answers
Calc
Python
7 votes100 views1 answer
How to install python libraries using pip
Python
0 vote112 views1 answer
Get param function python
Python
1 vote118 views1 answer
How to find the cube of a number in python
Python
1 vote111 views6 answers
Python tuple methods
Python
0 vote108 views1 answer
Django admin manytomanyfield filter
Python Django
0 vote151 views1 answer
Flask template split string
Python Flask