2017-03-14, 07:59
Here’s a simple example how one can generate a normal distribution table with Python and scipy so that it can be imported into LaTeX.
Example-03.zip
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 13 21:14:17 2017
@author: Uwe Ziegenhagen, ziegenhagen@gmail.com
Creates a CDF table for the standard normal distribution
use booktabs package in the preamble and put
the generated numbers inside (use only one backslash!)
\\begin{tabular}{r|cccccccccc} \\toprule
<output here>
\\end{tabular}
"""
from scipy.stats import norm
print(norm.pdf(0))
print(norm.cdf(0),'\r\n')
horizontal = range(0,10,1)
vertikal = range(0,37)
header = ''
for i in horizontal:
header = header + '& ' + str(i/100)
print(header, '\\\\ \\midrule')
for j in vertikal:
x = j/10
print('\\\\', x)
for i in horizontal:
y = x + i/100
print('& ', "{:10.4f}".format(norm.cdf(y),4))
print('\\\\ \\bottomrule \r\n') |
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 13 21:14:17 2017
@author: Uwe Ziegenhagen, ziegenhagen@gmail.com
Creates a CDF table for the standard normal distribution
use booktabs package in the preamble and put
the generated numbers inside (use only one backslash!)
\\begin{tabular}{r|cccccccccc} \\toprule
<output here>
\\end{tabular}
"""
from scipy.stats import norm
print(norm.pdf(0))
print(norm.cdf(0),'\r\n')
horizontal = range(0,10,1)
vertikal = range(0,37)
header = ''
for i in horizontal:
header = header + '& ' + str(i/100)
print(header, '\\\\ \\midrule')
for j in vertikal:
x = j/10
print('\\\\', x)
for i in horizontal:
y = x + i/100
print('& ', "{:10.4f}".format(norm.cdf(y),4))
print('\\\\ \\bottomrule \r\n')
Uwe Ziegenhagen mag LaTeX und Python, auch gern in Kombination.
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