Reputation: 603
I have a text file which looks like this (pasting just first few rows):
x y
4 4
2 5
8 5
8 5
4 5
6 7
I need to read this file and plot a graph of x versus y. This is how my code looks like:
import numpy as np
import matplotlib.pyplot as plt
with open("C:\Vikalp\Learning\Machine Learning\Practice\carstopping.txt") as f:
next(f)
data = f.read()
data = data.split('\n')
x = [(row.split('\t')[0]).strip() for row in data]
print(x)
y = [row.split('\t')[1] for row in data]
My print(x) statement is printing lot of ascii stuff:
['\x00', '\x004\x00', '\x00', '\x002\x00', '\x00', '\x008\x00', '\x00', '\x008\x00', '\x00', '\x004\x00', '\x00', '\x006\x00', '\x00', '\x007\x00', '\x00', '\x009\x00', '\x00', '\x008\x00', '\x00', '\x001\x003\x00', '\x00', '\x001\x001\x00', '\x00', '\x005\x00', '\x00', '\x005\x00', '\x00', '\x001\x003\x00', '\x00', '\x008\x00', '\x00', '\x001\x007\x00', '\x00', '\x001\x004\x00', '\x00', '\x001\x001\x00', '\x00', '\x002\x001\x00', '\x00', '\x001\x009\x00', '\x00', '\x001\x008\x00', '\x00', '\x002\x007\x00', '\x00', '\x001\x005\x00', '\x00', '\x001\x004\x00', '\x00', '\x001\x006\x00', '\x00', '\x001\x006\x00', '\x00', '\x001\x009\x00', '\x00', '\x001\x004\x00', '\x00', '\x003\x004\x00', '\x00', '\x002\x009\x00', '\x00', '\x002\x002\x00', '\x00', '\x004\x007\x00', '\x00', '\x002\x009\x00', '\x00', '\x003\x004\x00', '\x00', '\x003\x000\x00', '\x00', '\x004\x008\x00', '\x00', '\x005\x005\x00', '\x00', '\x003\x009\x00', '\x00', '\x004\x002\x00', '\x00', '\x003\x005\x00', '\x00', '\x005\x006\x00', '\x00', '\x003\x003\x00', '\x00', '\x005\x009\x00', '\x00', '\x004\x008\x00', '\x00', '\x005\x006\x00', '\x00', '\x003\x009\x00', '\x00', '\x004\x001\x00', '\x00', '\x007\x008\x00', '\x00', '\x005\x007\x00', '\x00', '\x006\x004\x00', '\x00', '\x008\x004\x00', '\x00', '\x006\x008\x00', '\x00', '\x005\x004\x00', '\x00', '\x006\x000\x00', '\x00', '\x001\x000\x001\x00', '\x00', '\x006\x007\x00', '\x00', '\x007\x007\x00', '\x00', '\x008\x005\x00', '\x00', '\x001\x000\x007\x00', '\x00', '\x007\x009\x00', '\x00', '\x001\x003\x008\x00', '\x00', '\x001\x001\x000\x00', '\x00', '\x001\x003\x004\x00', '\x00', '\x00']
How do I get rid of all these special characters?
Based on the suggestion, I modified my code to following:
import numpy as np
import matplotlib.pyplot as plt
file_data = np.genfromtxt("C:\Vikalp\Learning\Machine Learning\Practice\carstopping.txt", usecols=(0,1), skip_header=1, dtype=str)
print(file_data)
x = file_data[:,0]
print(x)
y = file_data[:,1]
print(y)
This is what I get in console:
[['\x004' '\x004']
['\x002' '\x005']
['\x008' '\x005']
...,
['\x001\x003\x008' '\x003\x009']
['\x001\x001\x000' '\x004\x000']
['\x001\x003\x004' '\x004\x000']]
['\x004' '\x002' '\x008' ..., '\x001\x003\x008' '\x001\x001\x000'
'\x001\x003\x004']
['\x004' '\x005' '\x005' ..., '\x003\x009' '\x004\x000' '\x004\x000']
Not sure why I am getting all these characters. To get rid of them I included following line:
x = str(x).replace('\\x00','')
y = str(y).replace('\\x00','')
With this I get below output in console:
[['\x004' '\x004']
['\x002' '\x005']
['\x008' '\x005']
...,
['\x001\x003\x008' '\x003\x009']
['\x001\x001\x000' '\x004\x000']
['\x001\x003\x004' '\x004\x000']]
['4' '2' '8' ..., '138' '110'
'134']
['4' '5' '5' ..., '39' '40' '40']
So, x and y are now list of strings. Not sure how to convert them to integers. Tried following:
x = list(map(int,x))
Gives this error:
File "C:\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 880, in runfile
execfile(filename, namespace)
File "C:\Anaconda3\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "C:/Vikalp/Learning/Machine Learning/Practice/lr_practice_1.py", line 28, in <module>
x = list(map(int,x))
ValueError: invalid literal for int() with base 10: '['
I have these three issues:
Upvotes: 3
Views: 11534
Reputation: 1399
Your file is a UTF-16-LE file. So you need to add encoding argument.
import numpy as np
import matplotlib.pyplot as plt
import codecs
filecp = codecs.open('carstopping.txt', encoding ='utf-16-le')
file_data = np.loadtxt(filecp, usecols=(0,1),skiprows=1)
print(file_data)
x = file_data[:,0]
print(x)
y = file_data[:,1]
print(y)
Upvotes: 2
Reputation: 1
I would use numpy.loadtxt as suggested. However, I think you need to set the delimiter argument.
e.g.
import numpy as np
array_txt = np.loadtxt(
"C:\Vikalp\Learning\Machine Learning\Practice\carstopping.txt",
usecols=(0, 1), delimiter=','
)
By default the delimiter is whitespace.
Upvotes: 0
Reputation: 1399
You can use numpy.loadtext
for this task
>>> import numpy as np
>>> array_txt = np.loadtxt("C:\Vikalp\Learning\Machine Learning\Practice\carstopping.txt",usecols=(0, 1), skiprows=1)
>>> array_txt
array([[ 4., 4.],
[ 2., 5.],
[ 8., 5.],
[ 8., 5.],
[ 4., 5.],
[ 6., 7.]])
>>> x = array_txt[:,0]
>>> x
array([ 4., 2., 8., 8., 4., 6.])
>>> y = array_txt[:,1]
>>> y
array([ 4., 5., 5., 5., 5., 7.])
Upvotes: 2