Sigma | A user style for Youtube | Frontend Utils library
kandi X-RAY | Sigma Summary
kandi X-RAY | Sigma Summary
Sigma is a user style for Youtube. User styles are code designed to alter the appearance of one, some, or all sites.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Sigma
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QUESTION
So... I can sympy.integrate
a normal distribution with mean and standard deviation:
ANSWER
Answered 2021-Jun-15 at 01:38Here's a close case that works:
QUESTION
I am trying to blur of highest variance point from the image. I wrote code below. 1st part finds the variance of the image. I checked the resultant variance of an image and it is correct. (I used Lena's image) In 2nd part, I find the highest variance coordinates and send to this Function which finds gaussian blur. When I execute this code, it throws "C:\Tmp\blur_highest_variance.py", line 66, in sigma=15) numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('uint8') with casting rule 'same_kind'
I tried a few conversions between types but no avail. Can you show me some direction?
ANSWER
Answered 2021-Jun-10 at 18:48The error message tells us the line and the reason for the error:
Traceback (most recent call last):
File "C:\Tmp\blur_highest_variance.py", line 66, in sigma=15)
numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('uint8') with casting rule 'same_kind'
It is more simple to debug the code using intermediate variables:
For example, use an intermediate named gmask
:
QUESTION
I have the following code:
...ANSWER
Answered 2021-Jun-10 at 00:41I believe this will work:
QUESTION
ANSWER
Answered 2021-Jun-09 at 19:36Since you weren't providing the information I asked for, I tried to write a small test case, seeking to get at the core of your problem.
Mixing numpy
and sympy
is tricky and somewhat unpredictable. But sometimes sympy
symbols can be used in numpy
expressions.
QUESTION
I'm trying to calculate the mean, standard deviation, median, first quartile and third quartile of the lognormal distribution that I fit to my histogram. So far I've only been able to calculate the mean, standard deviation and median, based on the formulas I found on Wikipedia, but I don't know how to calculate the first quartile and the third quartile. How could I calculate in Python the first quartile and the third quartile, based on the lognormal distribution?
...ANSWER
Answered 2021-Jun-08 at 20:07Given a log-normal distribution, we want to compute its quantiles. Furthermore, the parameters of the log-normal distribution are estimated from data.
The script below uses OpenTURNS to create the distribution using the LogNormal
class. It takes as inputs arguments the mean and standard deviation of the underlying normal distribution. Then we can use the computeQuantile()
method to compute the quantiles.
QUESTION
For the following sample data dat
, is there a way to calculate min
and max
while handling NA
s. My input is:
ANSWER
Answered 2021-Jun-08 at 11:12The following solution seems to work with the transform()
function:
QUESTION
ANSWER
Answered 2021-Jun-08 at 07:34The typical reason for the fail is: wrong starting parameters. The formulae used here are somewhat those that would be used for a measurement statistic, while the data here has to be considered the according histogram. The use of n
, hence, does not make sense. It is more like
QUESTION
I am trying to run a code that has a GUI built with pyglet. but it gives this error. I have searched and found that I need to directly set the version of GLSL to be used by the code but I don't know how. would be happy if you helped me out with it.
...ANSWER
Answered 2021-Jun-08 at 07:05well it got solved!
just needed to add the directive #version 120
at the beginning of the shader like this:
QUESTION
I have a list with the summaries of different linear regressions. I want to extract the coefficients and p-values of all the elements of the linear regressions and put them in a dataframe (one dataframe per each element of the lm).
For example, to extract the coeffcients of the interecpt I am using the follwing:
...ANSWER
Answered 2021-Jun-07 at 03:10Change your function to -
QUESTION
I simulated data with nrow=1000
(individuals) and ncol=100
(days) for step lengths according to a Pareto distribution function:
ANSWER
Answered 2021-Jun-07 at 12:17First, it looks like you have an error in your Rayleigh PDF. It should be:
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