Cdf empírica python

# fit an empirical cdf to a bimodal dataset
from matplotlib import pyplot
from numpy.random import normal
from numpy import hstack
from statsmodels.distributions.empirical_distribution import ECDF
# generate a sample
sample1 = normal(loc=20, scale=5, size=300)
sample2 = normal(loc=40, scale=5, size=700)
sample = hstack((sample1, sample2))
# fit a cdf
ecdf = ECDF(sample)
# get cumulative probability for values
print('P(x<20): %.3f' % ecdf(20))
print('P(x<40): %.3f' % ecdf(40))
print('P(x<60): %.3f' % ecdf(60))
# plot the cdf
pyplot.plot(ecdf.x, ecdf.y)
pyplot.show()

Source: machinelearningmastery.com

Cdf empírica python

# example of a bimodal data sample
from matplotlib import pyplot
from numpy.random import normal
from numpy import hstack
# generate a sample
sample1 = normal(loc=20, scale=5, size=300)
sample2 = normal(loc=40, scale=5, size=700)
sample = hstack((sample1, sample2))
# plot the histogram
pyplot.hist(sample, bins=50)
pyplot.show()

Source: machinelearningmastery.com

Cdf empírica python

...
# fit a cdf
ecdf = ECDF(sample)

Source: machinelearningmastery.com

Cdf empírica python

...
# get cumulative probability for values
print('P(x<20): %.3f' % ecdf(20))
print('P(x<40): %.3f' % ecdf(40))
print('P(x<60): %.3f' % ecdf(60))

Source: machinelearningmastery.com

Cdf empírica python

P(x<20): 0.149
P(x<40): 0.654
P(x<60): 1.000

Source: machinelearningmastery.com

Similar codes

1 vote139 views1 answer
How to change font sizetkniter
Python
7 votes140 views4 answers
Delete unnamed coloumns in pandas
Python
0 vote154 views1 answer
How to import discord in python rewrite vscode
Python
1 vote121 views1 answer
Print value of array python
Python
0 vote142 views1 answer
Dense(units = 128, activation = 'Leakyrelu'
Python
7 votes127 views1 answer
Np in python
Python
0 vote139 views1 answer
Scatter density plot seaborn
Python
25 votes132 views6 answers
Uninstall all packages python
Python
0 vote158 views2 answers
Flask return html
Python
0 vote143 views1 answer
Lista to txt python
Python