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

0 vote102 views1 answer
How to convert a axis label to non scientific notation in matploltlib
Python
1 vote104 views1 answer
Python twilio certificate error
Python
3 votes108 views2 answers
COLLECTIONS.DEFAULTDICT(set)
Python
0 vote104 views1 answer
Create database tables python
Python
0 vote112 views1 answer
Xgboosat save_model
Python
3 votes110 views1 answer
Webcam cv2
Python
0 vote112 views1 answer
How to print smallest number in python
Python
0 vote94 views1 answer
Python floor float
Python
25 votes132 views6 answers
Import python file from another directory
Python
104 votes118 views6 answers
How to rename columns in Pandas DataFrame
Python