Python 入門練習--讀取數據，並將某幾列的數據賦值給變量

There are many commands that can load data into Python. Here I use genfromtxt and loadtxt as example.

import numpy as np
my_data = np.genfromtxt('name_of_the_data', skip_header=10) # skip the first 10 rows of the data, and the true data is loaded from line 11

or

import numpy as np
my_data = np.loadtxt('before.dump',skiprows=10) # skip the first 10 rows of the data, and the true data is loaded from line 11

x = my_data[:,3]  # extract x from data, assign data we need to x 
y = my_data[:,4]  # the colon represents all values. [:,4] means all the values of column 5
z = my_data[:,8]  #                                  [3,:] means all the values of row 4

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# Get help of these two commands
help(np.loadtxt)
help(np.genfromtxt)