> Parameters:
q: lower and upper tail probability
x: quantiles
loc : [optional] location parameter. Default = 0
scale: [optional] scale parameter. Default = 1
size: [tuple of ints, optional] shape or random variates.
moments: [optional] composed of letters [’mvsk ’]; ’m’ = mean, ’v’ = variance, ’s’ = Fisher’s skew and ’k’ = Fisher’s kurtosis. (default = ’mv’).Results: anglit continuous random variable
Code # 1: Generating a continuous random variable angled
# scipy import
from
scipy.stats
import
anglit
numargs
=
anglit.numargs
[]
=
[
0.6
,]
*
numargs
rv
=
anglit ()
(
" RV: "
, rv)
Output:
RV: "scipy.stats._distn_infrastructure.rv_frozen object at 0x0000029484AA02E8"Code # 2 : angular random variables and probability distribution function.
import
numpy as np
quantile
=
np.arange (
0.01
,
1
,
0.1
)
# Random Variants
R
=
anglit.rvs (scale
=
2
, size
=
10
)
(
"Random Variates:"
, R)
R
=
anglit.pdf (quantile, loc
=
0
, scale
=
1
)
(
"Probability Distribution:"
, R)
< / p>
Output:
Random Variates: [-0.73702502 -1.38273136 0.39618481 -0.48434091 -0.85635192 -0.36402882 -0.21016273 0.53857078 0.96918022 -0.84314795] Probability Distribution: [0.99980001 0.97589745 0.9130.68894 0.813878 3: Graphic representation.
import
numpy as np
import
matplotlib.pyplot as plt
distribution
=
np.linspace (
0
, np.minimum (rv.dist.b,
5
))
(
"Distribution:"
, distribution )
plot
=
plt.plot (distribution, rv.pdf (distribution))
Output:
Distribution: [0. 0.01602853 0.03205707 0.0480856 0.06411414 0.08014267 0.0961712 0.11219974 0.12822827 0.14425681 0.16028534 0.17631387 0.19234241 0.20837094 0.22439948 0.24042801 0.25645654 0.27248508 0.28851361 0.30454214 0.32057068 0.33659921 0.35262775 0.36865628 0.38468481 0.40071335 0.41674188 0.43277042 0.44879895 0.46482748 0.48085602 0.49688455 0.51291309 0.52894162 0.54497015 0.56099869 0.57702722 0.59305576 0.60908429 0.62511282 0.64114136 0.65716989 0.67319843 0.68922696 0.70525549 0.72128403 0.73731256 0.7533411 0.76936963 0.78539816]
![]()
Code # 4: Various Positional Arguments
import
matplotlib.pyplot as plt
import
numpy as np
x
=
np.linspace (
0
,
5
,
100
)
# Various positional arguments
y1
=
anglit.pdf (x ,
1
,
6
)
y2
=
anglit. pdf (x,
1
,
4
)
plt.plot (x, y1,
" * "
, x, y2,
" r-- "
)
Output:
![]()
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