Mixing
How do I find the standard deviation from a text file using python?
-2
After finding the range, min, max and average from my text file of stored scores of my game, I would like to find the standard deviation from these scores but I am not sure how to go about it.
This is what I have so far:
file = open('stats.txt', 'a+')
file.write('n' + 'Score: ' + str(1))
file.close()
numbers =
with open('stats.txt') as fh:
count = 0
for line in fh:
count += 1
numbers.append(float(line.split()[1]))
file = open('maths.txt', 'w+')
file.write('Average Score: ' + str(sum(numbers)/len(numbers)) + "n")
file.write('Maximum Score: ' + str(max(numbers)) + "n")
file.write('Minimum Score: ' + str(min(numbers)) + "n")
maxn = max(numbers)
minn = min(numbers)
rangex = (maxn) - (minn)
file.write('Range of Scores: ' + str(rangex))
file.close()
What my text file looks like:
Score: 3
Score: 0
Score: 13
Score: 13
Score: 9
Score: 0
Score: 0
Score: 0
Score: 0
Score: 0
Score: 0
Score: 31
Score: 0
Score: 0
Score: 0
Score: 0
Score: -8
Score: 0
Score: 0
Thanks for helping
python text-files standard-deviation
edited Nov 20 '18 at 9:42
Mayank Porwal
4,7272624
asked Nov 20 '18 at 9:41
Jay WJay W
11
add a comment |
-2
After finding the range, min, max and average from my text file of stored scores of my game, I would like to find the standard deviation from these scores but I am not sure how to go about it.
This is what I have so far:
file = open('stats.txt', 'a+')
file.write('n' + 'Score: ' + str(1))
file.close()
numbers =
with open('stats.txt') as fh:
count = 0
for line in fh:
count += 1
numbers.append(float(line.split()[1]))
file = open('maths.txt', 'w+')
file.write('Average Score: ' + str(sum(numbers)/len(numbers)) + "n")
file.write('Maximum Score: ' + str(max(numbers)) + "n")
file.write('Minimum Score: ' + str(min(numbers)) + "n")
maxn = max(numbers)
minn = min(numbers)
rangex = (maxn) - (minn)
file.write('Range of Scores: ' + str(rangex))
file.close()
What my text file looks like:
Score: 3
Score: 0
Score: 13
Score: 13
Score: 9
Score: 0
Score: 0
Score: 0
Score: 0
Score: 0
Score: 0
Score: 31
Score: 0
Score: 0
Score: 0
Score: 0
Score: -8
Score: 0
Score: 0
Thanks for helping
python text-files standard-deviation
edited Nov 20 '18 at 9:42
Mayank Porwal
4,7272624
asked Nov 20 '18 at 9:41
Jay WJay W
11
You could usenumpymodule and make use of thenumpy.std()method.
– toti08
Nov 20 '18 at 9:46
2
It looka like you have everything you need. Try looking up the formula for standard deviation?
– shadowtalker
Nov 20 '18 at 9:46
add a comment |
-2
-2
-2
After finding the range, min, max and average from my text file of stored scores of my game, I would like to find the standard deviation from these scores but I am not sure how to go about it.
This is what I have so far:
file = open('stats.txt', 'a+')
file.write('n' + 'Score: ' + str(1))
file.close()
numbers =
with open('stats.txt') as fh:
count = 0
for line in fh:
count += 1
numbers.append(float(line.split()[1]))
file = open('maths.txt', 'w+')
file.write('Average Score: ' + str(sum(numbers)/len(numbers)) + "n")
file.write('Maximum Score: ' + str(max(numbers)) + "n")
file.write('Minimum Score: ' + str(min(numbers)) + "n")
maxn = max(numbers)
minn = min(numbers)
rangex = (maxn) - (minn)
file.write('Range of Scores: ' + str(rangex))
file.close()
What my text file looks like:
Score: 3
Score: 0
Score: 13
Score: 13
Score: 9
Score: 0
Score: 0
Score: 0
Score: 0
Score: 0
Score: 0
Score: 31
Score: 0
Score: 0
Score: 0
Score: 0
Score: -8
Score: 0
Score: 0
Thanks for helping
python text-files standard-deviation
edited Nov 20 '18 at 9:42
Mayank Porwal
4,7272624
asked Nov 20 '18 at 9:41
Jay WJay W
11
After finding the range, min, max and average from my text file of stored scores of my game, I would like to find the standard deviation from these scores but I am not sure how to go about it.
This is what I have so far:
file = open('stats.txt', 'a+')
file.write('n' + 'Score: ' + str(1))
file.close()
numbers =
with open('stats.txt') as fh:
count = 0
for line in fh:
count += 1
numbers.append(float(line.split()[1]))
file = open('maths.txt', 'w+')
file.write('Average Score: ' + str(sum(numbers)/len(numbers)) + "n")
file.write('Maximum Score: ' + str(max(numbers)) + "n")
file.write('Minimum Score: ' + str(min(numbers)) + "n")
maxn = max(numbers)
minn = min(numbers)
rangex = (maxn) - (minn)
file.write('Range of Scores: ' + str(rangex))
file.close()
What my text file looks like:
Score: 3
Score: 0
Score: 13
Score: 13
Score: 9
Score: 0
Score: 0
Score: 0
Score: 0
Score: 0
Score: 0
Score: 31
Score: 0
Score: 0
Score: 0
Score: 0
Score: -8
Score: 0
Score: 0
Thanks for helping
python text-files standard-deviation
python text-files standard-deviation
edited Nov 20 '18 at 9:42
Mayank Porwal
4,7272624
asked Nov 20 '18 at 9:41
Jay WJay W
11
edited Nov 20 '18 at 9:42
Mayank Porwal
4,7272624
asked Nov 20 '18 at 9:41
Jay WJay W
11
edited Nov 20 '18 at 9:42
Mayank Porwal
4,7272624
edited Nov 20 '18 at 9:42
Mayank Porwal
4,7272624
edited Nov 20 '18 at 9:42
Mayank Porwal
4,7272624
4,7272624
asked Nov 20 '18 at 9:41
Jay WJay W
11
asked Nov 20 '18 at 9:41
Jay WJay W
11
asked Nov 20 '18 at 9:41
Jay WJay W
11
11
You could usenumpymodule and make use of thenumpy.std()method.
– toti08
Nov 20 '18 at 9:46
2
It looka like you have everything you need. Try looking up the formula for standard deviation?
– shadowtalker
Nov 20 '18 at 9:46
add a comment |
You could usenumpymodule and make use of thenumpy.std()method.
– toti08
Nov 20 '18 at 9:46
2
It looka like you have everything you need. Try looking up the formula for standard deviation?
– shadowtalker
Nov 20 '18 at 9:46
You could use
numpy module and make use of the numpy.std() method.– toti08
Nov 20 '18 at 9:46
You could use
numpy module and make use of the numpy.std() method.– toti08
Nov 20 '18 at 9:46
2
2
It looka like you have everything you need. Try looking up the formula for standard deviation?
– shadowtalker
Nov 20 '18 at 9:46
It looka like you have everything you need. Try looking up the formula for standard deviation?
– shadowtalker
Nov 20 '18 at 9:46
add a comment |
2 Answers
2
active
oldest
votes
0
You just need to use the standard deviation function from numpy.
Add to the beginning of your code:
import numpy as np
and then use:
file.write('Standard Deviation: ' + str(np.std(numbers)) + "n")
answered Nov 20 '18 at 9:46
Guilherme CostaGuilherme Costa
636
add a comment |
0
You can read the file and split on : to create a list:
l =
In [400]: with open('stats.txt', 'r') as f:
...: for i in f:
...: l.append(int(i.split(':')[1].strip()))
In [401]: l
Out[401]: [3, 0, 13, 13, 9, 0, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, -8, 0, 0]
In [403]: import statistics
In [402]: statistics.stdev(l)
Out[402]: 8.357158922932953
OR you can use numpy also:
In [404]: import numpy as np
In [403]: np.std(l)
Out[403]: 8.1342611825629
answered Nov 20 '18 at 9:52
Mayank PorwalMayank Porwal
4,7272624
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
You just need to use the standard deviation function from numpy.
Add to the beginning of your code:
import numpy as np
and then use:
file.write('Standard Deviation: ' + str(np.std(numbers)) + "n")
answered Nov 20 '18 at 9:46
Guilherme CostaGuilherme Costa
636
add a comment |
0
You just need to use the standard deviation function from numpy.
Add to the beginning of your code:
import numpy as np
and then use:
file.write('Standard Deviation: ' + str(np.std(numbers)) + "n")
answered Nov 20 '18 at 9:46
Guilherme CostaGuilherme Costa
636
add a comment |
0
0
0
You just need to use the standard deviation function from numpy.
Add to the beginning of your code:
import numpy as np
and then use:
file.write('Standard Deviation: ' + str(np.std(numbers)) + "n")
answered Nov 20 '18 at 9:46
Guilherme CostaGuilherme Costa
636
You just need to use the standard deviation function from numpy.
Add to the beginning of your code:
import numpy as np
and then use:
file.write('Standard Deviation: ' + str(np.std(numbers)) + "n")
answered Nov 20 '18 at 9:46
Guilherme CostaGuilherme Costa
636
answered Nov 20 '18 at 9:46
Guilherme CostaGuilherme Costa
636
answered Nov 20 '18 at 9:46
Guilherme CostaGuilherme Costa
636
answered Nov 20 '18 at 9:46
Guilherme CostaGuilherme Costa
636
636
add a comment |
add a comment |
0
You can read the file and split on : to create a list:
l =
In [400]: with open('stats.txt', 'r') as f:
...: for i in f:
...: l.append(int(i.split(':')[1].strip()))
In [401]: l
Out[401]: [3, 0, 13, 13, 9, 0, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, -8, 0, 0]
In [403]: import statistics
In [402]: statistics.stdev(l)
Out[402]: 8.357158922932953
OR you can use numpy also:
In [404]: import numpy as np
In [403]: np.std(l)
Out[403]: 8.1342611825629
answered Nov 20 '18 at 9:52
Mayank PorwalMayank Porwal
4,7272624
add a comment |
0
You can read the file and split on : to create a list:
l =
In [400]: with open('stats.txt', 'r') as f:
...: for i in f:
...: l.append(int(i.split(':')[1].strip()))
In [401]: l
Out[401]: [3, 0, 13, 13, 9, 0, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, -8, 0, 0]
In [403]: import statistics
In [402]: statistics.stdev(l)
Out[402]: 8.357158922932953
OR you can use numpy also:
In [404]: import numpy as np
In [403]: np.std(l)
Out[403]: 8.1342611825629
answered Nov 20 '18 at 9:52
Mayank PorwalMayank Porwal
4,7272624
add a comment |
0
0
0
You can read the file and split on : to create a list:
l =
In [400]: with open('stats.txt', 'r') as f:
...: for i in f:
...: l.append(int(i.split(':')[1].strip()))
In [401]: l
Out[401]: [3, 0, 13, 13, 9, 0, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, -8, 0, 0]
In [403]: import statistics
In [402]: statistics.stdev(l)
Out[402]: 8.357158922932953
OR you can use numpy also:
In [404]: import numpy as np
In [403]: np.std(l)
Out[403]: 8.1342611825629
answered Nov 20 '18 at 9:52
Mayank PorwalMayank Porwal
4,7272624
You can read the file and split on : to create a list:
l =
In [400]: with open('stats.txt', 'r') as f:
...: for i in f:
...: l.append(int(i.split(':')[1].strip()))
In [401]: l
Out[401]: [3, 0, 13, 13, 9, 0, 0, 0, 0, 0, 0, 31, 0, 0, 0, 0, -8, 0, 0]
In [403]: import statistics
In [402]: statistics.stdev(l)
Out[402]: 8.357158922932953
OR you can use numpy also:
In [404]: import numpy as np
In [403]: np.std(l)
Out[403]: 8.1342611825629
answered Nov 20 '18 at 9:52
Mayank PorwalMayank Porwal
4,7272624
edited Nov 20 '18 at 12:29
answered Nov 20 '18 at 9:52
Mayank PorwalMayank Porwal
4,7272624
answered Nov 20 '18 at 9:52
Mayank PorwalMayank Porwal
4,7272624
answered Nov 20 '18 at 9:52
Mayank PorwalMayank Porwal
4,7272624
4,7272624
add a comment |
add a comment |
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You could use
numpymodule and make use of thenumpy.std()method.– toti08
Nov 20 '18 at 9:46
2
It looka like you have everything you need. Try looking up the formula for standard deviation?
– shadowtalker
Nov 20 '18 at 9:46