A normal continuous random variable.
The location (
loc
) keyword specifies the mean.The scale (scale
) keyword specifies the standard deviation.You have clicked a page that seems to be very popular. It’s currently a bit busy. You can have a rest and please slide to verify. Fortnite stats simplified. Create a free account and compare your progress.
As an instance of the
rv_continuous
class, norm
object inherits from ita collection of generic methods (see below for the full list),and completes them with details specific for this particular distribution.![Battery Stats V1 1 1 Battery Stats V1 1 1](https://cdn.instructables.com/FDU/Z5AN/I1MQ4KV8/FDUZ5ANI1MQ4KV8.LARGE.jpg?auto=webp&frame=1&height=300)
Notes
The probability density function for
norm
is:for a real number (x).
The probability density above is defined in the “standardized” form. To shiftand/or scale the distribution use the
loc
and scale
parameters.Specifically, norm.pdf(x,loc,scale)
is identicallyequivalent to norm.pdf(y)/scale
withy=(x-loc)/scale
.Examples
Calculate a few first moments:
Display the probability density function (
pdf
):Battery Stats V1 1 1 0
Alternatively, the distribution object can be called (as a function)to fix the shape, location and scale parameters. This returns a “frozen”RV object holding the given parameters fixed.
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Freeze the distribution and display the frozen
pdf
:Check accuracy of
cdf
and ppf
:Generate random numbers:
Battery Stats V1 1 12
And compare the histogram:
Methods
rvs(loc=0, scale=1, size=1, random_state=None) | Random variates. |
pdf(x, loc=0, scale=1) | Probability density function. |
logpdf(x, loc=0, scale=1) | Log of the probability density function. |
cdf(x, loc=0, scale=1) | Cumulative distribution function. |
logcdf(x, loc=0, scale=1) | Log of the cumulative distribution function. |
sf(x, loc=0, scale=1) | Survival function (also defined as 1-cdf , but sf is sometimes more accurate). |
logsf(x, loc=0, scale=1) | Log of the survival function. |
ppf(q, loc=0, scale=1) | Percent point function (inverse of cdf — percentiles). |
isf(q, loc=0, scale=1) | Inverse survival function (inverse of sf ). |
moment(n, loc=0, scale=1) | Non-central moment of order n |
stats(loc=0, scale=1, moments=’mv’) | Mean(‘m’), variance(‘v’), skew(‘s’), and/or kurtosis(‘k’). |
entropy(loc=0, scale=1) | (Differential) entropy of the RV. |
fit(data) | Instaradio: stream radio 8 0. Parameter estimates for generic data. See scipy.stats.rv_continuous.fit for detailed documentation of the keyword arguments. |
expect(func, args=(), loc=0, scale=1, lb=None, ub=None, conditional=False, **kwds) | Expected value of a function (of one argument) with respect to the distribution. |
median(loc=0, scale=1) | Median of the distribution. |
mean(loc=0, scale=1) | Mean of the distribution. |
var(loc=0, scale=1) | Variance of the distribution. |
std(loc=0, scale=1) | Standard deviation of the distribution. |
interval(alpha, loc=0, scale=1) | Endpoints of the range that contains alpha percent of the distribution |